Search Engines: Gateway to a New ``Panopticon''?

NASA Astrophysics Data System (ADS)

Kosta, Eleni; Kalloniatis, Christos; Mitrou, Lilian; Kavakli, Evangelia

Nowadays, Internet users are depending on various search engines in order to be able to find requested information on the Web. Although most users feel that they are and remain anonymous when they place their search queries, reality proves otherwise. The increasing importance of search engines for the location of the desired information on the Internet usually leads to considerable inroads into the privacy of users. The scope of this paper is to study the main privacy issues with regard to search engines, such as the anonymisation of search logs and their retention period, and to examine the applicability of the European data protection legislation to non-EU search engine providers. Ixquick, a privacy-friendly meta search engine will be presented as an alternative to privacy intrusive existing practices of search engines.

Quality analysis of patient information about knee arthroscopy on the World Wide Web.

PubMed

Sambandam, Senthil Nathan; Ramasamy, Vijayaraj; Priyanka, Priyanka; Ilango, Balakrishnan

2007-05-01

This study was designed to ascertain the quality of patient information available on the World Wide Web on the topic of knee arthroscopy. For the purpose of quality analysis, we used a pool of 232 search results obtained from 7 different search engines. We used a modified assessment questionnaire to assess the quality of these Web sites. This questionnaire was developed based on similar studies evaluating Web site quality and includes items on illustrations, accessibility, availability, accountability, and content of the Web site. We also compared results obtained with different search engines and tried to establish the best possible search strategy to attain the most relevant, authentic, and adequate information with minimum time consumption. For this purpose, we first compared 100 search results from the single most commonly used search engine (AltaVista) with the pooled sample containing 20 search results from each of the 7 different search engines. The search engines used were metasearch (Copernic and Mamma), general search (Google, AltaVista, and Yahoo), and health topic-related search engines (MedHunt and Healthfinder). The phrase "knee arthroscopy" was used as the search terminology. Excluding the repetitions, there were 117 Web sites available for quality analysis. These sites were analyzed for accessibility, relevance, authenticity, adequacy, and accountability by use of a specially designed questionnaire. Our analysis showed that most of the sites providing patient information on knee arthroscopy contained outdated information, were inadequate, and were not accountable. Only 16 sites were found to be providing reasonably good patient information and hence can be recommended to patients. Understandably, most of these sites were from nonprofit organizations and educational institutions. Furthermore, our study revealed that using multiple search engines increases patients' chances of obtaining more relevant information rather than using a single search engine. Our study shows the difficulties encountered by patients in obtaining information regarding knee arthroscopy and highlights the duty of knee surgeons in helping patients to identify the relevant and authentic information in the most efficient manner from the World Wide Web. This study highlights the importance of the role of orthopaedic surgeons in helping their patients to identify the best possible information on the World Wide Web.

Interactive Information Organization: Techniques and Evaluation

DTIC Science & Technology

2001-05-01

information search and access. Locating interesting information on the World Wide Web is the main task of on-line search engines . Such engines accept a...likelihood of being relevant to the user’s request. The majority of today’s Web search engines follow this scenario. The ordering of documents in the

Research on Agriculture Domain Meta-Search Engine System

NASA Astrophysics Data System (ADS)

Xie, Nengfu; Wang, Wensheng

The rapid growth of agriculture web information brings a fact that search engine can not return a satisfied result for users’ queries. In this paper, we propose an agriculture domain search engine system, called ADSE, that can obtains results by an advance interface to several searches and aggregates them. We also discuss two key technologies: agriculture information determination and engine.

Comparing Web search engine performance in searching consumer health information: evaluation and recommendations.

PubMed Central

Wu, G; Li, J

1999-01-01

Identifying and accessing reliable, relevant consumer health information rapidly on the Internet may challenge the health sciences librarian and layperson alike. In this study, seven search engines are compared using representative consumer health topics for their content relevancy, system features, and attributes. The paper discusses evaluation criteria; systematically compares relevant results; analyzes performance in terms of the strengths and weaknesses of the search engines; and illustrates effective search engine selection, search formulation, and strategies. PMID:10550031

Defining and Exposing Privacy Issues with Social Media

DTIC Science & Technology

2012-06-11

Twitter, and Linked In[ I 0). VI. SEARCH ENGINES In addition to social networking sites, search engines pose new issues to privacy. As...networking, search engines , and storing personal information online in general have been accepted worldwide due to the benefits they provide. Social...networking provides even more communication in an information-demanding age, allowing users to interact across great distances. Search engines allow

EIIS: An Educational Information Intelligent Search Engine Supported by Semantic Services

ERIC Educational Resources Information Center

Huang, Chang-Qin; Duan, Ru-Lin; Tang, Yong; Zhu, Zhi-Ting; Yan, Yong-Jian; Guo, Yu-Qing

2011-01-01

The semantic web brings a new opportunity for efficient information organization and search. To meet the special requirements of the educational field, this paper proposes an intelligent search engine enabled by educational semantic support service, where three kinds of searches are integrated into Educational Information Intelligent Search (EIIS)…

NASA Indexing Benchmarks: Evaluating Text Search Engines

NASA Technical Reports Server (NTRS)

Esler, Sandra L.; Nelson, Michael L.

1997-01-01

The current proliferation of on-line information resources underscores the requirement for the ability to index collections of information and search and retrieve them in a convenient manner. This study develops criteria for analytically comparing the index and search engines and presents results for a number of freely available search engines. A product of this research is a toolkit capable of automatically indexing, searching, and extracting performance statistics from each of the focused search engines. This toolkit is highly configurable and has the ability to run these benchmark tests against other engines as well. Results demonstrate that the tested search engines can be grouped into two levels. Level one engines are efficient on small to medium sized data collections, but show weaknesses when used for collections 100MB or larger. Level two search engines are recommended for data collections up to and beyond 100MB.

Knowledge-based personalized search engine for the Web-based Human Musculoskeletal System Resources (HMSR) in biomechanics.

PubMed

Dao, Tien Tuan; Hoang, Tuan Nha; Ta, Xuan Hien; Tho, Marie Christine Ho Ba

2013-02-01

Human musculoskeletal system resources of the human body are valuable for the learning and medical purposes. Internet-based information from conventional search engines such as Google or Yahoo cannot response to the need of useful, accurate, reliable and good-quality human musculoskeletal resources related to medical processes, pathological knowledge and practical expertise. In this present work, an advanced knowledge-based personalized search engine was developed. Our search engine was based on a client-server multi-layer multi-agent architecture and the principle of semantic web services to acquire dynamically accurate and reliable HMSR information by a semantic processing and visualization approach. A security-enhanced mechanism was applied to protect the medical information. A multi-agent crawler was implemented to develop a content-based database of HMSR information. A new semantic-based PageRank score with related mathematical formulas were also defined and implemented. As the results, semantic web service descriptions were presented in OWL, WSDL and OWL-S formats. Operational scenarios with related web-based interfaces for personal computers and mobile devices were presented and analyzed. Functional comparison between our knowledge-based search engine, a conventional search engine and a semantic search engine showed the originality and the robustness of our knowledge-based personalized search engine. In fact, our knowledge-based personalized search engine allows different users such as orthopedic patient and experts or healthcare system managers or medical students to access remotely into useful, accurate, reliable and good-quality HMSR information for their learning and medical purposes. Copyright © 2012 Elsevier Inc. All rights reserved.

Developing Information Storage and Retrieval Systems on the Internet: A Knowledge Management Approach

DTIC Science & Technology

2011-09-01

search engines to find information. Most commercial search engines (Google, Yahoo, Bing, etc.) provide their indexing and search services...at no cost. The DoD can achieve large gains at a small cost by making public documents available to search engines . This can be achieved through the...were organized on the website dodreports.com. The results of this research revealed improvement gains of 8-20% for finding reports through commercial search engines during the first six months of

Foraging patterns in online searches.

PubMed

Wang, Xiangwen; Pleimling, Michel

2017-03-01

Nowadays online searches are undeniably the most common form of information gathering, as witnessed by billions of clicks generated each day on search engines. In this work we describe online searches as foraging processes that take place on the semi-infinite line. Using a variety of quantities like probability distributions and complementary cumulative distribution functions of step length and waiting time as well as mean square displacements and entropies, we analyze three different click-through logs that contain the detailed information of millions of queries submitted to search engines. Notable differences between the different logs reveal an increased efficiency of the search engines. In the language of foraging, the newer logs indicate that online searches overwhelmingly yield local searches (i.e., on one page of links provided by the search engines), whereas for the older logs the foraging processes are a combination of local searches and relocation phases that are power law distributed. Our investigation of click logs of search engines therefore highlights the presence of intermittent search processes (where phases of local explorations are separated by power law distributed relocation jumps) in online searches. It follows that good search engines enable the users to find the information they are looking for through a local exploration of a single page with search results, whereas for poor search engine users are often forced to do a broader exploration of different pages.

Foraging patterns in online searches

NASA Astrophysics Data System (ADS)

Wang, Xiangwen; Pleimling, Michel

2017-03-01

Nowadays online searches are undeniably the most common form of information gathering, as witnessed by billions of clicks generated each day on search engines. In this work we describe online searches as foraging processes that take place on the semi-infinite line. Using a variety of quantities like probability distributions and complementary cumulative distribution functions of step length and waiting time as well as mean square displacements and entropies, we analyze three different click-through logs that contain the detailed information of millions of queries submitted to search engines. Notable differences between the different logs reveal an increased efficiency of the search engines. In the language of foraging, the newer logs indicate that online searches overwhelmingly yield local searches (i.e., on one page of links provided by the search engines), whereas for the older logs the foraging processes are a combination of local searches and relocation phases that are power law distributed. Our investigation of click logs of search engines therefore highlights the presence of intermittent search processes (where phases of local explorations are separated by power law distributed relocation jumps) in online searches. It follows that good search engines enable the users to find the information they are looking for through a local exploration of a single page with search results, whereas for poor search engine users are often forced to do a broader exploration of different pages.

Smart internet search engine through 6W

NASA Astrophysics Data System (ADS)

Goehler, Stephen; Cader, Masud; Szu, Harold

2006-04-01

Current Internet search engine technology is limited in its ability to display necessary relevant information to the user. Yahoo, Google and Microsoft use lookup tables or indexes which limits the ability of users to find their desired information. While these companies have improved their results over the years by enhancing their existing technology and algorithms with specialized heuristics such as PageRank, there is a need for a next generation smart search engine that can effectively interpret the relevance of user searches and provide the actual information requested. This paper explores whether a smarter Internet search engine can effectively fulfill a user's needs through the use of 6W representations.

The Theory of Planned Behaviour Applied to Search Engines as a Learning Tool

ERIC Educational Resources Information Center

Liaw, Shu-Sheng

2004-01-01

Search engines have been developed for helping learners to seek online information. Based on theory of planned behaviour approach, this research intends to investigate the behaviour of using search engines as a learning tool. After factor analysis, the results suggest that perceived satisfaction of search engine, search engines as an information…

Searching for Information Online: Using Big Data to Identify the Concerns of Potential Army Recruits

DTIC Science & Technology

2016-01-01

software. For instance, such Internet search engines as Google or Yahoo! often gather anonymized data regarding the topics that people search for, as...suggesting that these and other information needs may be fur- ther reflected in usage of online search engines . Google makes aggregated and anonymized...Internet search engines such as Google or Yahoo! often gather anonymized data regarding the topics that people search for, as well as the date and

Just-in-Time Web Searches for Trainers & Adult Educators.

ERIC Educational Resources Information Center

Kirk, James J.

Trainers and adult educators often need to quickly locate quality information on the World Wide Web (WWW) and need assistance in searching for such information. A "search engine" is an application used to query existing information on the WWW. The three types of search engines are computer-generated indexes, directories, and meta search…

[Advanced online search techniques and dedicated search engines for physicians].

PubMed

Nahum, Yoav

2008-02-01

In recent years search engines have become an essential tool in the work of physicians. This article will review advanced search techniques from the world of information specialists, as well as some advanced search engine operators that may help physicians improve their online search capabilities, and maximize the yield of their searches. This article also reviews popular dedicated scientific and biomedical literature search engines.

Putting Google Scholar to the Test: A Preliminary Study

ERIC Educational Resources Information Center

Robinson, Mary L.; Wusteman, Judith

2007-01-01

Purpose: To describe a small-scale quantitative evaluation of the scholarly information search engine, Google Scholar. Design/methodology/approach: Google Scholar's ability to retrieve scholarly information was compared to that of three popular search engines: Ask.com, Google and Yahoo! Test queries were presented to all four search engines and…

Information Discovery and Retrieval Tools

DTIC Science & Technology

2004-12-01

information. This session will focus on the various Internet search engines , directories, and how to improve the user experience through the use of...such techniques as metadata, meta- search engines , subject specific search tools, and other developing technologies.

Information Discovery and Retrieval Tools

DTIC Science & Technology

2003-04-01

information. This session will focus on the various Internet search engines , directories, and how to improve the user experience through the use of...such techniques as metadata, meta- search engines , subject specific search tools, and other developing technologies.

Finding Information on the World Wide Web: The Retrieval Effectiveness of Search Engines.

ERIC Educational Resources Information Center

Pathak, Praveen; Gordon, Michael

1999-01-01

Describes a study that examined the effectiveness of eight search engines for the World Wide Web. Calculated traditional information-retrieval measures of recall and precision at varying numbers of retrieved documents to use as the bases for statistical comparisons of retrieval effectiveness. Also examined the overlap between search engines.…

FindZebra: a search engine for rare diseases.

PubMed

Dragusin, Radu; Petcu, Paula; Lioma, Christina; Larsen, Birger; Jørgensen, Henrik L; Cox, Ingemar J; Hansen, Lars Kai; Ingwersen, Peter; Winther, Ole

2013-06-01

The web has become a primary information resource about illnesses and treatments for both medical and non-medical users. Standard web search is by far the most common interface to this information. It is therefore of interest to find out how well web search engines work for diagnostic queries and what factors contribute to successes and failures. Among diseases, rare (or orphan) diseases represent an especially challenging and thus interesting class to diagnose as each is rare, diverse in symptoms and usually has scattered resources associated with it. We design an evaluation approach for web search engines for rare disease diagnosis which includes 56 real life diagnostic cases, performance measures, information resources and guidelines for customising Google Search to this task. In addition, we introduce FindZebra, a specialized (vertical) rare disease search engine. FindZebra is powered by open source search technology and uses curated freely available online medical information. FindZebra outperforms Google Search in both default set-up and customised to the resources used by FindZebra. We extend FindZebra with specialized functionalities exploiting medical ontological information and UMLS medical concepts to demonstrate different ways of displaying the retrieved results to medical experts. Our results indicate that a specialized search engine can improve the diagnostic quality without compromising the ease of use of the currently widely popular standard web search. The proposed evaluation approach can be valuable for future development and benchmarking. The FindZebra search engine is available at http://www.findzebra.com/. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Balancing Efficiency and Effectiveness for Fusion-Based Search Engines in the "Big Data" Environment

ERIC Educational Resources Information Center

Li, Jieyu; Huang, Chunlan; Wang, Xiuhong; Wu, Shengli

2016-01-01

Introduction: In the big data age, we have to deal with a tremendous amount of information, which can be collected from various types of sources. For information search systems such as Web search engines or online digital libraries, the collection of documents becomes larger and larger. For some queries, an information search system needs to…

"Just the Answers, Please": Choosing a Web Search Service.

ERIC Educational Resources Information Center

Feldman, Susan

1997-01-01

Presents guidelines for selecting World Wide Web search engines. Real-life questions were used to test six search engines. Queries sought company information, product reviews, medical information, foreign information, technical reports, and current events. Compares performance and features of AltaVista, Excite, HotBot, Infoseek, Lycos, and Open…

[Study of the health food information for cancer patients on Japanese websites].

PubMed

Kishimoto, Keiko; Yoshino, Chie; Fukushima, Noriko

2010-08-01

The aim of this paper is to evaluate the reliability of websites providing health food information for cancer patients and, to assess the status to get this information online. We used four common Japanese search engines (Yahoo!, Google, goo, and MSN) to look up websites on Dec. 2, 2008. The search keywords were "health food" and "cancer". The websites for the first 100 hits generated by each search engine were screened and extracted by three conditions. We extracted 64 unique websites by the result of retrieval, of which 54 websites had information about health food factors. The two scales were used to evaluate the quality of the content on 54 websites. On the scale of reliability of information on the Web, the average score was 2.69+/-1.70 (maximum 6) and the median was 2.5. The other scale was matter need to check whether listed to use safely this information. On this scale, the average score was 0.72+/-1.22 (maximum 5) and the median was 0. Three engines showed poor correlation between the ranking and the latter score. But several websites on the top indicated 0 score. Fifty-four websites were extracted with one to four engines and the average number of search engines was 1.9. The two scales were positively correlated with the number of search engines, but these correlations were very poor. Ranking high and extraction by multiple search engines were of minor benefit to pick out more reliable information.

The Gaze of the Perfect Search Engine: Google as an Infrastructure of Dataveillance

NASA Astrophysics Data System (ADS)

Zimmer, M.

Web search engines have emerged as a ubiquitous and vital tool for the successful navigation of the growing online informational sphere. The goal of the world's largest search engine, Google, is to "organize the world's information and make it universally accessible and useful" and to create the "perfect search engine" that provides only intuitive, personalized, and relevant results. While intended to enhance intellectual mobility in the online sphere, this chapter reveals that the quest for the perfect search engine requires the widespread monitoring and aggregation of a users' online personal and intellectual activities, threatening the values the perfect search engines were designed to sustain. It argues that these search-based infrastructures of dataveillance contribute to a rapidly emerging "soft cage" of everyday digital surveillance, where they, like other dataveillance technologies before them, contribute to the curtailing of individual freedom, affect users' sense of self, and present issues of deep discrimination and social justice.

Search Engines on the World Wide Web.

ERIC Educational Resources Information Center

Walster, Dian

1997-01-01

Discusses search engines and provides methods for determining what resources are searched, the quality of the information, and the algorithms used that will improve the use of search engines on the World Wide Web, online public access catalogs, and electronic encyclopedias. Lists strategies for conducting searches and for learning about the latest…

Taming the Information Jungle with WWW Search Engines.

ERIC Educational Resources Information Center

Repman, Judi; And Others

1997-01-01

Because searching the Web with different engines often produces different results, the best strategy is to learn how each engine works. Discusses comparing search engines; qualities to consider (ease of use, relevance of hits, and speed); and six of the most popular search tools (Yahoo, Magellan. InfoSeek, Alta Vista, Lycos, and Excite). Lists…

Searching Choices: Quantifying Decision-Making Processes Using Search Engine Data.

PubMed

Moat, Helen Susannah; Olivola, Christopher Y; Chater, Nick; Preis, Tobias

2016-07-01

When making a decision, humans consider two types of information: information they have acquired through their prior experience of the world, and further information they gather to support the decision in question. Here, we present evidence that data from search engines such as Google can help us model both sources of information. We show that statistics from search engines on the frequency of content on the Internet can help us estimate the statistical structure of prior experience; and, specifically, we outline how such statistics can inform psychological theories concerning the valuation of human lives, or choices involving delayed outcomes. Turning to information gathering, we show that search query data might help measure human information gathering, and it may predict subsequent decisions. Such data enable us to compare information gathered across nations, where analyses suggest, for example, a greater focus on the future in countries with a higher per capita GDP. We conclude that search engine data constitute a valuable new resource for cognitive scientists, offering a fascinating new tool for understanding the human decision-making process. Copyright © 2016 The Authors. Topics in Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society.

Brief Report: Consistency of Search Engine Rankings for Autism Websites

ERIC Educational Resources Information Center

Reichow, Brian; Naples, Adam; Steinhoff, Timothy; Halpern, Jason; Volkmar, Fred R.

2012-01-01

The World Wide Web is one of the most common methods used by parents to find information on autism spectrum disorders and most consumers find information through search engines such as Google or Bing. However, little is known about how the search engines operate or the consistency of the results that are returned over time. This study presents the…

An Assessment, Survey, and Systems Engineering Design of Information Sharing and Discovery Systems in a Network-Centric Environment

DTIC Science & Technology

2009-12-01

type of information available through DISA search tools: Centralized Search, Federated Search , and Enterprise Search (Defense Information Systems... Federated Search , and Enterprise 41 Search services. Likewise, EFD and GCDS support COIs in discovering information by making information

Islamic Extremists Love the Internet

DTIC Science & Technology

2009-04-03

down on the West. Terrorists’ Use of Search Engines In order to find a particular blog, extremists use search engines such as Bloglines...BlogScope, and Technorati to search blog contents. Technorati, which is among the most popular blog search engines , provides current information on...of mid- January 2009 is tracking over 31.78 million blogs with 579.86 million posts.49 Other ways the terrorists use Web search engines are to

The Evolution of Web Searching.

ERIC Educational Resources Information Center

Green, David

2000-01-01

Explores the interrelation between Web publishing and information retrieval technologies and lists new approaches to Web indexing and searching. Highlights include Web directories; search engines; portalisation; Internet service providers; browser providers; meta search engines; popularity based analysis; natural language searching; links-based…

Global polar geospatial information service retrieval based on search engine and ontology reasoning

USGS Publications Warehouse

Chen, Nengcheng; E, Dongcheng; Di, Liping; Gong, Jianya; Chen, Zeqiang

2007-01-01

In order to improve the access precision of polar geospatial information service on web, a new methodology for retrieving global spatial information services based on geospatial service search and ontology reasoning is proposed, the geospatial service search is implemented to find the coarse service from web, the ontology reasoning is designed to find the refined service from the coarse service. The proposed framework includes standardized distributed geospatial web services, a geospatial service search engine, an extended UDDI registry, and a multi-protocol geospatial information service client. Some key technologies addressed include service discovery based on search engine and service ontology modeling and reasoning in the Antarctic geospatial context. Finally, an Antarctica multi protocol OWS portal prototype based on the proposed methodology is introduced.

Next-Gen Search Engines

ERIC Educational Resources Information Center

Gupta, Amardeep

2005-01-01

Current search engines--even the constantly surprising Google--seem unable to leap the next big barrier in search: the trillions of bytes of dynamically generated data created by individual web sites around the world, or what some researchers call the "deep web." The challenge now is not information overload, but information overlook.…

Information Retrieval for Education: Making Search Engines Language Aware

ERIC Educational Resources Information Center

Ott, Niels; Meurers, Detmar

2010-01-01

Search engines have been a major factor in making the web the successful and widely used information source it is today. Generally speaking, they make it possible to retrieve web pages on a topic specified by the keywords entered by the user. Yet web searching currently does not take into account which of the search results are comprehensible for…

New generation of the multimedia search engines

NASA Astrophysics Data System (ADS)

Mijes Cruz, Mario Humberto; Soto Aldaco, Andrea; Maldonado Cano, Luis Alejandro; López Rodríguez, Mario; Rodríguez Vázqueza, Manuel Antonio; Amaya Reyes, Laura Mariel; Cano Martínez, Elizabeth; Pérez Rosas, Osvaldo Gerardo; Rodríguez Espejo, Luis; Flores Secundino, Jesús Abimelek; Rivera Martínez, José Luis; García Vázquez, Mireya Saraí; Zamudio Fuentes, Luis Miguel; Sánchez Valenzuela, Juan Carlos; Montoya Obeso, Abraham; Ramírez Acosta, Alejandro Álvaro

2016-09-01

Current search engines are based upon search methods that involve the combination of words (text-based search); which has been efficient until now. However, the Internet's growing demand indicates that there's more diversity on it with each passing day. Text-based searches are becoming limited, as most of the information on the Internet can be found in different types of content denominated multimedia content (images, audio files, video files). Indeed, what needs to be improved in current search engines is: search content, and precision; as well as an accurate display of expected search results by the user. Any search can be more precise if it uses more text parameters, but it doesn't help improve the content or speed of the search itself. One solution is to improve them through the characterization of the content for the search in multimedia files. In this article, an analysis of the new generation multimedia search engines is presented, focusing the needs according to new technologies. Multimedia content has become a central part of the flow of information in our daily life. This reflects the necessity of having multimedia search engines, as well as knowing the real tasks that it must comply. Through this analysis, it is shown that there are not many search engines that can perform content searches. The area of research of multimedia search engines of new generation is a multidisciplinary area that's in constant growth, generating tools that satisfy the different needs of new generation systems.

An Improved Forensic Science Information Search.

PubMed

Teitelbaum, J

2015-01-01

Although thousands of search engines and databases are available online, finding answers to specific forensic science questions can be a challenge even to experienced Internet users. Because there is no central repository for forensic science information, and because of the sheer number of disciplines under the forensic science umbrella, forensic scientists are often unable to locate material that is relevant to their needs. The author contends that using six publicly accessible search engines and databases can produce high-quality search results. The six resources are Google, PubMed, Google Scholar, Google Books, WorldCat, and the National Criminal Justice Reference Service. Carefully selected keywords and keyword combinations, designating a keyword phrase so that the search engine will search on the phrase and not individual keywords, and prompting search engines to retrieve PDF files are among the techniques discussed. Copyright © 2015 Central Police University.

Sexual information seeking on web search engines.

PubMed

Spink, Amanda; Koricich, Andrew; Jansen, B J; Cole, Charles

2004-02-01

Sexual information seeking is an important element within human information behavior. Seeking sexually related information on the Internet takes many forms and channels, including chat rooms discussions, accessing Websites or searching Web search engines for sexual materials. The study of sexual Web queries provides insight into sexually-related information-seeking behavior, of value to Web users and providers alike. We qualitatively analyzed queries from logs of 1,025,910 Alta Vista and AlltheWeb.com Web user queries from 2001. We compared the differences in sexually-related Web searching between Alta Vista and AlltheWeb.com users. Differences were found in session duration, query outcomes, and search term choices. Implications of the findings for sexual information seeking are discussed.

How to Find Reliable ENT Info

MedlinePlus

... information about your condition may be difficult. Most search engines and directories do not rank information from your ... wants you to buy its product paid the search engine company to list it near the top. Your ...

Children's Search Engines from an Information Search Process Perspective.

ERIC Educational Resources Information Center

Broch, Elana

2000-01-01

Describes cognitive and affective characteristics of children and teenagers that may affect their Web searching behavior. Reviews literature on children's searching in online public access catalogs (OPACs) and using digital libraries. Profiles two Web search engines. Discusses some of the difficulties children have searching the Web, in the…

The Search for Extension: 7 Steps to Help People Find Research-Based Information on the Internet

ERIC Educational Resources Information Center

Hill, Paul; Rader, Heidi B.; Hino, Jeff

2012-01-01

For Extension's unbiased, research-based content to be found by people searching the Internet, it needs to be organized in a way conducive to the ranking criteria of a search engine. With proper web design and search engine optimization techniques, Extension's content can be found, recognized, and properly indexed by search engines and…

An open-source, mobile-friendly search engine for public medical knowledge.

PubMed

Samwald, Matthias; Hanbury, Allan

2014-01-01

The World Wide Web has become an important source of information for medical practitioners. To complement the capabilities of currently available web search engines we developed FindMeEvidence, an open-source, mobile-friendly medical search engine. In a preliminary evaluation, the quality of results from FindMeEvidence proved to be competitive with those from TRIP Database, an established, closed-source search engine for evidence-based medicine.

The effective use of search engines on the Internet.

PubMed

Younger, P

This article explains how nurses can get the most out of researching information on the internet using the search engine Google. It also explores some of the other types of search engines that are available. Internet users are shown how to find text, images and reports and search within sites. Copyright issues are also discussed.

Practical Tips and Strategies for Finding Information on the Internet.

ERIC Educational Resources Information Center

Armstrong, Rhonda; Flanagan, Lynn

This paper presents the most important concepts and techniques to use in successfully searching the major World Wide Web search engines and directories, explains the basics of how search engines work, and describes what is included in their indexes. Following an introduction that gives an overview of Web directories and search engines, the first…

Exploring Malaysian Trainee Teachers' Adoption of the Internet as Information Tool

ERIC Educational Resources Information Center

Teck-Chai, Lau; Kim-Hong, Yeoh; Ching-Ching, Choong

2010-01-01

This study reports the usage of three commercial Internet search engines in information seeking among trainee teachers at a teacher training institute in Malaysia. It attempts to investigate the information seeking behavior of the trainees via three Internet search engines (Google, Yahoo and MSN) as gateways to information for research in academic…

Multitasking Information Seeking and Searching Processes.

ERIC Educational Resources Information Center

Spink, Amanda; Ozmutlu, H. Cenk; Ozmutlu, Seda

2002-01-01

Presents findings from four studies of the prevalence of multitasking information seeking and searching by Web (via the Excite search engine), information retrieval system (mediated online database searching), and academic library users. Highlights include human information coordinating behavior (HICB); and implications for models of information…

Search without Boundaries Using Simple APIs

USGS Publications Warehouse

Tong, Qi

2009-01-01

The U.S. Geological Survey (USGS) Library, where the author serves as the digital services librarian, is increasingly challenged to make it easier for users to find information from many heterogeneous information sources. Information is scattered throughout different software applications (i.e., library catalog, federated search engine, link resolver, and vendor websites), and each specializes in one thing. How could the library integrate the functionalities of one application with another and provide a single point of entry for users to search across? To improve the user experience, the library launched an effort to integrate the federated search engine into the library's intranet website. The result is a simple search box that leverages the federated search engine's built-in application programming interfaces (APIs). In this article, the author describes how this project demonstrated the power of APIs and their potential to be used by other enterprise search portals inside or outside of the library.

Health search engine with e-document analysis for reliable search results.

PubMed

Gaudinat, Arnaud; Ruch, Patrick; Joubert, Michel; Uziel, Philippe; Strauss, Anne; Thonnet, Michèle; Baud, Robert; Spahni, Stéphane; Weber, Patrick; Bonal, Juan; Boyer, Celia; Fieschi, Marius; Geissbuhler, Antoine

2006-01-01

After a review of the existing practical solution available to the citizen to retrieve eHealth document, the paper describes an original specialized search engine WRAPIN. WRAPIN uses advanced cross lingual information retrieval technologies to check information quality by synthesizing medical concepts, conclusions and references contained in the health literature, to identify accurate, relevant sources. Thanks to MeSH terminology [1] (Medical Subject Headings from the U.S. National Library of Medicine) and advanced approaches such as conclusion extraction from structured document, reformulation of the query, WRAPIN offers to the user a privileged access to navigate through multilingual documents without language or medical prerequisites. The results of an evaluation conducted on the WRAPIN prototype show that results of the WRAPIN search engine are perceived as informative 65% (59% for a general-purpose search engine), reliable and trustworthy 72% (41% for the other engine) by users. But it leaves room for improvement such as the increase of database coverage, the explanation of the original functionalities and an audience adaptability. Thanks to evaluation outcomes, WRAPIN is now in exploitation on the HON web site (http://www.healthonnet.org), free of charge. Intended to the citizen it is a good alternative to general-purpose search engines when the user looks up trustworthy health and medical information or wants to check automatically a doubtful content of a Web page.

From the Director: Surfing the Web for Health Information

MedlinePlus

... Reliable Results Most Internet users first visit a search engine — like Google or Yahoo! — when seeking health information. ... medical terms like "cancer" or "diabetes" into a search engine, the top-ten results will likely include authoritative ...

Finding Business Information on the "Invisible Web": Search Utilities vs. Conventional Search Engines.

ERIC Educational Resources Information Center

Darrah, Brenda

Researchers for small businesses, which may have no access to expensive databases or market research reports, must often rely on information found on the Internet, which can be difficult to find. Although current conventional Internet search engines are now able to index over on billion documents, there are many more documents existing in…

Searching for American Indian Resources on the Internet.

ERIC Educational Resources Information Center

Pollack, Ira; Derby, Amy

This paper provides basic information on searching the Internet and lists World Wide Web sites containing resources for American Indian education. Comprehensive and topical Web directories, search engines, and meta-search engines are briefly described. Search strategies are discussed, and seven Web sites are listed that provide more advanced…

New Architectures for Presenting Search Results Based on Web Search Engines Users Experience

ERIC Educational Resources Information Center

Martinez, F. J.; Pastor, J. A.; Rodriguez, J. V.; Lopez, Rosana; Rodriguez, J. V., Jr.

2011-01-01

Introduction: The Internet is a dynamic environment which is continuously being updated. Search engines have been, currently are and in all probability will continue to be the most popular systems in this information cosmos. Method: In this work, special attention has been paid to the series of changes made to search engines up to this point,…

Query Transformations for Result Merging

DTIC Science & Technology

2014-11-01

tors, term dependence, query expansion 1. INTRODUCTION Federated search deals with the problem of aggregating results from multiple search engines . The...invidual search engines are (i) typically focused on a particular domain or a particular corpus, (ii) employ diverse retrieval models, and (iii...determine which search engines are appropri- ate for addressing the information need (resource selection), and (ii) merging the results returned by

Which Search Engine Is the Most Used One among University Students?

ERIC Educational Resources Information Center

Cavus, Nadire; Alpan, Kezban

2010-01-01

The importance of information is increasing in the information age that we are living in with internet becoming the major information resource for people with rapidly increasing number of documents. This situation makes finding information on the internet without web search engines impossible. The aim of the study is revealing most widely used…

International use of an academic nephrology World Wide Web site: from medical information resource to business tool.

PubMed

Abbott, Kevin C; Oliver, David K; Boal, Thomas R; Gadiyak, Grigorii; Boocks, Carl; Yuan, Christina M; Welch, Paul G; Poropatich, Ronald K

2002-04-01

Studies of the use of the World Wide Web to obtain medical knowledge have largely focused on patients. In particular, neither the international use of academic nephrology World Wide Web sites (websites) as primary information sources nor the use of search engines (and search strategies) to obtain medical information have been described. Visits ("hits") to the Walter Reed Army Medical Center (WRAMC) Nephrology Service website from April 30, 2000, to March 14, 2001, were analyzed for the location of originating source using Webtrends, and search engines (Google, Lycos, etc.) were analyzed manually for search strategies used. From April 30, 2000 to March 14, 2001, the WRAMC Nephrology Service website received 1,007,103 hits and 12,175 visits. These visits were from 33 different countries, and the most frequent regions were Western Europe, Asia, Australia, the Middle East, Pacific Islands, and South America. The most frequent organization using the site was the military Internet system, followed by America Online and automated search programs of online search engines, most commonly Google. The online lecture series was the most frequently visited section of the website. Search strategies used in search engines were extremely technical. The use of "robots" by standard Internet search engines to locate websites, which may be blocked by mandatory registration, has allowed users worldwide to access the WRAMC Nephrology Service website to answer very technical questions. This suggests that it is being used as an alternative to other primary sources of medical information and that the use of mandatory registration may hinder users from finding valuable sites. With current Internet technology, even a single service can become a worldwide information resource without sacrificing its primary customers.

Search Engine Liability for Copyright Infringement

NASA Astrophysics Data System (ADS)

Fitzgerald, B.; O'Brien, D.; Fitzgerald, A.

The chapter provides a broad overview to the topic of search engine liability for copyright infringement. In doing so, the chapter examines some of the key copyright law principles and their application to search engines. The chapter also provides a discussion of some of the most important cases to be decided within the courts of the United States, Australia, China and Europe regarding the liability of search engines for copyright infringement. Finally, the chapter will conclude with some thoughts for reform, including how copyright law can be amended in order to accommodate and realise the great informative power which search engines have to offer society.

The impact of search engine selection and sorting criteria on vaccination beliefs and attitudes: two experiments manipulating Google output.

PubMed

Allam, Ahmed; Schulz, Peter Johannes; Nakamoto, Kent

2014-04-02

During the past 2 decades, the Internet has evolved to become a necessity in our daily lives. The selection and sorting algorithms of search engines exert tremendous influence over the global spread of information and other communication processes. This study is concerned with demonstrating the influence of selection and sorting/ranking criteria operating in search engines on users' knowledge, beliefs, and attitudes of websites about vaccination. In particular, it is to compare the effects of search engines that deliver websites emphasizing on the pro side of vaccination with those focusing on the con side and with normal Google as a control group. We conducted 2 online experiments using manipulated search engines. A pilot study was to verify the existence of dangerous health literacy in connection with searching and using health information on the Internet by exploring the effect of 2 manipulated search engines that yielded either pro or con vaccination sites only, with a group receiving normal Google as control. A pre-post test design was used; participants were American marketing students enrolled in a study-abroad program in Lugano, Switzerland. The second experiment manipulated the search engine by applying different ratios of con versus pro vaccination webpages displayed in the search results. Participants were recruited from Amazon's Mechanical Turk platform where it was published as a human intelligence task (HIT). Both experiments showed knowledge highest in the group offered only pro vaccination sites (Z=-2.088, P=.03; Kruskal-Wallis H test [H₅]=11.30, P=.04). They acknowledged the importance/benefits (Z=-2.326, P=.02; H5=11.34, P=.04) and effectiveness (Z=-2.230, P=.03) of vaccination more, whereas groups offered antivaccination sites only showed increased concern about effects (Z=-2.582, P=.01; H₅=16.88, P=.005) and harmful health outcomes (Z=-2.200, P=.02) of vaccination. Normal Google users perceived information quality to be positive despite a small effect on knowledge and a negative effect on their beliefs and attitudes toward vaccination and willingness to recommend the information (χ²₅=14.1, P=.01). More exposure to antivaccination websites lowered participants' knowledge (J=4783.5, z=-2.142, P=.03) increased their fear of side effects (J=6496, z=2.724, P=.006), and lowered their acknowledgment of benefits (J=4805, z=-2.067, P=.03). The selection and sorting/ranking criteria of search engines play a vital role in online health information seeking. Search engines delivering websites containing credible and evidence-based medical information impact positively Internet users seeking health information. Whereas sites retrieved by biased search engines create some opinion change in users. These effects are apparently independent of users' site credibility and evaluation judgments. Users are affected beneficially or detrimentally but are unaware, suggesting they are not consciously perceptive of indicators that steer them toward the credible sources or away from the dangerous ones. In this sense, the online health information seeker is flying blind.

The Impact of Search Engine Selection and Sorting Criteria on Vaccination Beliefs and Attitudes: Two Experiments Manipulating Google Output

PubMed Central

Schulz, Peter Johannes; Nakamoto, Kent

2014-01-01

Background During the past 2 decades, the Internet has evolved to become a necessity in our daily lives. The selection and sorting algorithms of search engines exert tremendous influence over the global spread of information and other communication processes. Objective This study is concerned with demonstrating the influence of selection and sorting/ranking criteria operating in search engines on users’ knowledge, beliefs, and attitudes of websites about vaccination. In particular, it is to compare the effects of search engines that deliver websites emphasizing on the pro side of vaccination with those focusing on the con side and with normal Google as a control group. Method We conducted 2 online experiments using manipulated search engines. A pilot study was to verify the existence of dangerous health literacy in connection with searching and using health information on the Internet by exploring the effect of 2 manipulated search engines that yielded either pro or con vaccination sites only, with a group receiving normal Google as control. A pre-post test design was used; participants were American marketing students enrolled in a study-abroad program in Lugano, Switzerland. The second experiment manipulated the search engine by applying different ratios of con versus pro vaccination webpages displayed in the search results. Participants were recruited from Amazon’s Mechanical Turk platform where it was published as a human intelligence task (HIT). Results Both experiments showed knowledge highest in the group offered only pro vaccination sites (Z=–2.088, P=.03; Kruskal-Wallis H test [H5]=11.30, P=.04). They acknowledged the importance/benefits (Z=–2.326, P=.02; H5=11.34, P=.04) and effectiveness (Z=–2.230, P=.03) of vaccination more, whereas groups offered antivaccination sites only showed increased concern about effects (Z=–2.582, P=.01; H5=16.88, P=.005) and harmful health outcomes (Z=–2.200, P=.02) of vaccination. Normal Google users perceived information quality to be positive despite a small effect on knowledge and a negative effect on their beliefs and attitudes toward vaccination and willingness to recommend the information (χ2 5=14.1, P=.01). More exposure to antivaccination websites lowered participants’ knowledge (J=4783.5, z=−2.142, P=.03) increased their fear of side effects (J=6496, z=2.724, P=.006), and lowered their acknowledgment of benefits (J=4805, z=–2.067, P=.03). Conclusion The selection and sorting/ranking criteria of search engines play a vital role in online health information seeking. Search engines delivering websites containing credible and evidence-based medical information impact positively Internet users seeking health information. Whereas sites retrieved by biased search engines create some opinion change in users. These effects are apparently independent of users’ site credibility and evaluation judgments. Users are affected beneficially or detrimentally but are unaware, suggesting they are not consciously perceptive of indicators that steer them toward the credible sources or away from the dangerous ones. In this sense, the online health information seeker is flying blind. PMID:24694866

Lyceum: A Multi-Protocol Digital Library Gateway

NASA Technical Reports Server (NTRS)

Maa, Ming-Hokng; Nelson, Michael L.; Esler, Sandra L.

1997-01-01

Lyceum is a prototype scalable query gateway that provides a logically central interface to multi-protocol and physically distributed, digital libraries of scientific and technical information. Lyceum processes queries to multiple syntactically distinct search engines used by various distributed information servers from a single logically central interface without modification of the remote search engines. A working prototype (http://www.larc.nasa.gov/lyceum/) demonstrates the capabilities, potentials, and advantages of this type of meta-search engine by providing access to over 50 servers covering over 20 disciplines.

The Role of Exploratory Talk in Classroom Search Engine Tasks

ERIC Educational Resources Information Center

Knight, Simon; Mercer, Neil

2015-01-01

While search engines are commonly used by children to find information, and in classroom-based activities, children are not adept in their information seeking or evaluation of information sources. Prior work has explored such activities in isolated, individual contexts, failing to account for the collaborative, discourse-mediated nature of search…

Finding and Exploring Health Information with a Slider-Based User Interface.

PubMed

Pang, Patrick Cheong-Iao; Verspoor, Karin; Pearce, Jon; Chang, Shanton

2016-01-01

Despite the fact that search engines are the primary channel to access online health information, there are better ways to find and explore health information on the web. Search engines are prone to problems when they are used to find health information. For instance, users have difficulties in expressing health scenarios with appropriate search keywords, search results are not optimised for medical queries, and the search process does not account for users' literacy levels and reading preferences. In this paper, we describe our approach to addressing these problems by introducing a novel design using a slider-based user interface for discovering health information without the need for precise search keywords. The user evaluation suggests that the interface is easy to use and able to assist users in the process of discovering new information. This study demonstrates the potential value of adopting slider controls in the user interface of health websites for navigation and information discovery.

A unified architecture for biomedical search engines based on semantic web technologies.

PubMed

Jalali, Vahid; Matash Borujerdi, Mohammad Reza

2011-04-01

There is a huge growth in the volume of published biomedical research in recent years. Many medical search engines are designed and developed to address the over growing information needs of biomedical experts and curators. Significant progress has been made in utilizing the knowledge embedded in medical ontologies and controlled vocabularies to assist these engines. However, the lack of common architecture for utilized ontologies and overall retrieval process, hampers evaluating different search engines and interoperability between them under unified conditions. In this paper, a unified architecture for medical search engines is introduced. Proposed model contains standard schemas declared in semantic web languages for ontologies and documents used by search engines. Unified models for annotation and retrieval processes are other parts of introduced architecture. A sample search engine is also designed and implemented based on the proposed architecture in this paper. The search engine is evaluated using two test collections and results are reported in terms of precision vs. recall and mean average precision for different approaches used by this search engine.

MetaSpider: Meta-Searching and Categorization on the Web.

ERIC Educational Resources Information Center

Chen, Hsinchun; Fan, Haiyan; Chau, Michael; Zeng, Daniel

2001-01-01

Discusses the difficulty of locating relevant information on the Web and studies two approaches to addressing the low precision and poor presentation of search results: meta-search and document categorization. Introduces MetaSpider, a meta-search engine, and presents results of a user evaluation study that compared three search engines.…

Sundanese ancient manuscripts search engine using probability approach

NASA Astrophysics Data System (ADS)

Suryani, Mira; Hadi, Setiawan; Paulus, Erick; Nurma Yulita, Intan; Supriatna, Asep K.

2017-10-01

Today, Information and Communication Technology (ICT) has become a regular thing for every aspect of live include cultural and heritage aspect. Sundanese ancient manuscripts as Sundanese heritage are in damage condition and also the information that containing on it. So in order to preserve the information in Sundanese ancient manuscripts and make them easier to search, a search engine has been developed. The search engine must has good computing ability. In order to get the best computation in developed search engine, three types of probabilistic approaches: Bayesian Networks Model, Divergence from Randomness with PL2 distribution, and DFR-PL2F as derivative form DFR-PL2 have been compared in this study. The three probabilistic approaches supported by index of documents and three different weighting methods: term occurrence, term frequency, and TF-IDF. The experiment involved 12 Sundanese ancient manuscripts. From 12 manuscripts there are 474 distinct terms. The developed search engine tested by 50 random queries for three types of query. The experiment results showed that for the single query and multiple query, the best searching performance given by the combination of PL2F approach and TF-IDF weighting method. The performance has been evaluated using average time responds with value about 0.08 second and Mean Average Precision (MAP) about 0.33.

Studies on behaviour of information to extract the meaning behind the behaviour

NASA Astrophysics Data System (ADS)

Nasution, M. K. M.; Syah, R.; Elveny, M.

2017-01-01

Web as social media can be used as a reference for determining social behaviour. However, the information extraction involves a search engine is not easy to give that picture. There are several properties of the search engine to be formally disclosed to provide assurance that the information is feasible. Although quite a lot of research that has revealed the interest of the Web as social media, but a few of them that have revealed behaviour of information related to social behaviour. In this case, it needs the formal steps to present possibilities related properties. There are 12 properties that are interconnected as behaviour of information and then it reveals several meanings based on the simulation results of any search engine.

Search strategies on the Internet: general and specific.

PubMed

Bottrill, Krys

2004-06-01

Some of the most up-to-date information on scientific activity is to be found on the Internet; for example, on the websites of academic and other research institutions and in databases of currently funded research studies provided on the websites of funding bodies. Such information can be valuable in suggesting new approaches and techniques that could be applicable in a Three Rs context. However, the Internet is a chaotic medium, not subject to the meticulous classification and organisation of classical information resources. At the same time, Internet search engines do not match the sophistication of search systems used by database hosts. Also, although some offer relatively advanced features, user awareness of these tends to be low. Furthermore, much of the information on the Internet is not accessible to conventional search engines, giving rise to the concept of the "Invisible Web". General strategies and techniques for Internet searching are presented, together with a comparative survey of selected search engines. The question of how the Invisible Web can be accessed is discussed, as well as how to keep up-to-date with Internet content and improve searching skills.

Adolescents Searching for Health Information on the Internet: An Observational Study

PubMed Central

Derry, Holly A; Resnick, Paul J; Richardson, Caroline R

2003-01-01

Background Adolescents' access to health information on the Internet is partly a function of their ability to search for and find answers to their health-related questions. Adolescents may have unique health and computer literacy needs. Although many surveys, interviews, and focus groups have been utilized to understand the information-seeking and information-retrieval behavior of adolescents looking for health information online, we were unable to locate observations of individual adolescents that have been conducted in this context. Objective This study was designed to understand how adolescents search for health information using the Internet and what implications this may have on access to health information. Methods A convenience sample of 12 students (age 12-17 years) from 1 middle school and 2 high schools in southeast Michigan were provided with 6 health-related questions and asked to look for answers using the Internet. Researchers recorded 68 specific searches using software that captured screen images as well as synchronized audio recordings. Recordings were reviewed later and specific search techniques and strategies were coded. A qualitative review of the verbal communication was also performed. Results Out of 68 observed searches, 47 (69%) were successful in that the adolescent found a correct and useful answer to the health question. The majority of sites that students attempted to access were retrieved directly from search engine results (77%) or a search engine's recommended links (10%); only a small percentage were directly accessed (5%) or linked from another site (7%). The majority (83%) of followed links from search engine results came from the first 9 results. Incorrect spelling (30 of 132 search terms), number of pages visited within a site (ranging from 1-15), and overall search strategy (eg, using a search engine versus directly accessing a site), were each important determinants of success. Qualitative analysis revealed that participants used a trial-and-error approach to formulate search strings, scanned pages randomly instead of systematically, and did not consider the source of the content when searching for health information. Conclusions This study provides a useful snapshot of current adolescent searching patterns. The results have implications for constructing realistic simulations of adolescent search behavior, improving distribution and usefulness of Web sites with health information relevant to adolescents, and enhancing educators' knowledge of what specific pitfalls students are likely to encounter. PMID:14713653

Are Parents Getting it Right? A Survey of Parents' Internet Use for Children's Health Care Information.

PubMed

Pehora, Carolyne; Gajaria, Nisha; Stoute, Melyssa; Fracassa, Sonia; Serebale-O'Sullivan, Refilwe; Matava, Clyde T

2015-06-22

The use of the Internet to search for medical and health-related information is increasing and associated with concerns around quality and safety. We investigated the current use and perceptions on reliable websites for children's health information by parents. Following institutional ethics approval, we conducted a survey of parents/guardians of children presenting for day surgery. A 20-item survey instrument developed and tested by the investigators was administered. Ninety-eight percent of respondents reported that they used the Internet to search for information about their child's health. Many respondents reported beginning their search at public search engines (80%); less than 20% reported starting their search at university/hospital-based websites. Common conditions such as colds/flu, skin conditions and fever were the most frequently searched, and unique conditions directly affecting the child were second. Despite low usage levels of university/hospital-based websites for health information, the majority of respondents (74%) regarded these as providing safe, accurate, and reliable information. In contrast, only 24% of respondents regarded public search engines as providing safe and reliable information. Fifty percent of respondents reported that they cross-checked information found on the internet with a family physician. An unprecedented majority of parents and guardians are using the Internet for their child's health information. Of concern is that parents and guardians are currently not using reliable and safe sources of information. Health care providers should begin to focus on improving access to safe, accurate, and reliable information through various modalities including education, designing for multiplatform, and better search engine optimization.

Comparison of Four Search Engines and their efficacy With Emphasis on Literature Research in Addiction (Prevention and Treatment).

PubMed

Samadzadeh, Gholam Reza; Rigi, Tahereh; Ganjali, Ali Reza

2013-01-01

Surveying valuable and most recent information from internet, has become vital for researchers and scholars, because every day, thousands and perhaps millions of scientific works are brought out as digital resources which represented by internet and researchers can't ignore this great resource to find related documents for their literature search, which may not be found in any library. With regard to variety of documents presented on the internet, search engines are one of the most effective search tools for finding information. The aim of this study is to evaluate the three criteria, recall, preciseness and importance of the four search engines which are PubMed, Science Direct, Google Scholar and federated search of Iranian National Medical Digital Library in addiction (prevention and treatment) to select the most effective search engine for offering the best literature research. This research was a cross-sectional study by which four popular search engines in medical sciences were evaluated. To select keywords, medical subject heading (Mesh) was used. We entered given keywords in the search engines and after searching, 10 first entries were evaluated. Direct observation was used as a mean for data collection and they were analyzed by descriptive statistics (number, percent number and mean) and inferential statistics, One way analysis of variance (ANOVA) and post hoc Tukey in Spss. 15 statistical software. P Value < 0.05 was considered statistically significant. Results have shown that the search engines had different operations with regard to the evaluated criteria. Since P Value was 0.004 < 0.05 for preciseness and was 0.002 < 0.05 for importance, it shows significant difference among search engines. PubMed, Science Direct and Google Scholar were the best in recall, preciseness and importance respectively. As literature research is one of the most important stages of research, it's better for researchers, especially Substance-Related Disorders scholars to use different search engines with the best recall, preciseness and importance in that subject field to reach desirable results while searching and they don't depend on just one search engine.

Comparison of Four Search Engines and their efficacy With Emphasis on Literature Research in Addiction (Prevention and Treatment)

PubMed Central

Samadzadeh, Gholam Reza; Rigi, Tahereh; Ganjali, Ali Reza

2013-01-01

Background Surveying valuable and most recent information from internet, has become vital for researchers and scholars, because every day, thousands and perhaps millions of scientific works are brought out as digital resources which represented by internet and researchers can’t ignore this great resource to find related documents for their literature search, which may not be found in any library. With regard to variety of documents presented on the internet, search engines are one of the most effective search tools for finding information. Objectives The aim of this study is to evaluate the three criteria, recall, preciseness and importance of the four search engines which are PubMed, Science Direct, Google Scholar and federated search of Iranian National Medical Digital Library in addiction (prevention and treatment) to select the most effective search engine for offering the best literature research. Materials and Methods This research was a cross-sectional study by which four popular search engines in medical sciences were evaluated. To select keywords, medical subject heading (Mesh) was used. We entered given keywords in the search engines and after searching, 10 first entries were evaluated. Direct observation was used as a mean for data collection and they were analyzed by descriptive statistics (number, percent number and mean) and inferential statistics, One way analysis of variance (ANOVA) and post hoc Tukey in Spss. 15 statistical software. P Value < 0.05 was considered statistically significant. Results Results have shown that the search engines had different operations with regard to the evaluated criteria. Since P Value was 0.004 < 0.05 for preciseness and was 0.002 < 0.05 for importance, it shows significant difference among search engines. PubMed, Science Direct and Google Scholar were the best in recall, preciseness and importance respectively. Conclusions As literature research is one of the most important stages of research, it's better for researchers, especially Substance-Related Disorders scholars to use different search engines with the best recall, preciseness and importance in that subject field to reach desirable results while searching and they don’t depend on just one search engine. PMID:24971257

Using internet search engines and library catalogs to locate toxicology information.

PubMed

Wukovitz, L D

2001-01-12

The increasing importance of the Internet demands that toxicologists become aquainted with its resources. To find information, researchers must be able to effectively use Internet search engines, directories, subject-oriented websites, and library catalogs. The article will explain these resources, explore their benefits and weaknesses, and identify skills that help the researcher to improve search results and critically evaluate sources for their relevancy, validity, accuracy, and timeliness.

Use of controlled vocabularies to improve biomedical information retrieval tasks.

PubMed

Pasche, Emilie; Gobeill, Julien; Vishnyakova, Dina; Ruch, Patrick; Lovis, Christian

2013-01-01

The high heterogeneity of biomedical vocabulary is a major obstacle for information retrieval in large biomedical collections. Therefore, using biomedical controlled vocabularies is crucial for managing these contents. We investigate the impact of query expansion based on controlled vocabularies to improve the effectiveness of two search engines. Our strategy relies on the enrichment of users' queries with additional terms, directly derived from such vocabularies applied to infectious diseases and chemical patents. We observed that query expansion based on pathogen names resulted in improvements of the top-precision of our first search engine, while the normalization of diseases degraded the top-precision. The expansion of chemical entities, which was performed on the second search engine, positively affected the mean average precision. We have shown that query expansion of some types of biomedical entities has a great potential to improve search effectiveness; therefore a fine-tuning of query expansion strategies could help improving the performances of search engines.

A New Archive and Internet Search Engine May Change the Nature of On-Line Research.

ERIC Educational Resources Information Center

Selingo, Jeffrey

1998-01-01

In the process of trying to preserve Internet history by archiving it, a company has developed a powerful Internet search engine that provides information on Web site usage patterns, which can act as a relatively objective source of information about information sources and can link sources that a researcher might otherwise miss. However, issues…

Setting the public agenda for online health search: a white paper and action agenda.

PubMed

Greenberg, Liza; D'Andrea, Guy; Lorence, Dan

2004-06-08

Searches for health information are among the most common reasons that consumers use the Internet. Both consumers and quality experts have raised concerns about the quality of information on the Web and the ability of consumers to find accurate information that meets their needs. To produce a national stakeholder-driven agenda for research, technical improvements, and education that will improve the results of consumer searches for health information on the Internet. URAC, a national accreditation organization, and Consumer WebWatch (CWW), a project of Consumers Union (a consumer advocacy organization), conducted a review of factors influencing the results of online health searches. The organizations convened two stakeholder groups of consumers, quality experts, search engine experts, researchers, health-care providers, informatics specialists, and others. Meeting participants reviewed existing information and developed recommendations for improving the results of online consumer searches for health information. Participants were not asked to vote on or endorse the recommendations. Our working definition of a quality Web site was one that contained accurate, reliable, and complete information. The Internet has greatly improved access to health information for consumers. There is great variation in how consumers seek information via the Internet, and in how successful they are in searching for health information. Further, there is variation among Web sites, both in quality and accessibility. Many Web site features affect the capability of search engines to find and index them. Research is needed to define quality elements of Web sites that could be retrieved by search engines and understand how to meet the needs of different types of searchers. Technological research should seek to develop more sophisticated approaches for tagging information, and to develop searches that "learn" from consumer behavior. Finally, education initiatives are needed to help consumers search more effectively and to help them critically evaluate the information they find.

Setting the Public Agenda for Online Health Search: A White Paper and Action Agenda

PubMed Central

D'Andrea, Guy; Lorence, Dan

2004-01-01

Background Searches for health information are among the most common reasons that consumers use the Internet. Both consumers and quality experts have raised concerns about the quality of information on the Web and the ability of consumers to find accurate information that meets their needs. Objective To produce a national stakeholder-driven agenda for research, technical improvements, and education that will improve the results of consumer searches for health information on the Internet. Methods URAC, a national accreditation organization, and Consumer WebWatch (CWW), a project of Consumers Union (a consumer advocacy organization), conducted a review of factors influencing the results of online health searches. The organizations convened two stakeholder groups of consumers, quality experts, search engine experts, researchers, health-care providers, informatics specialists, and others. Meeting participants reviewed existing information and developed recommendations for improving the results of online consumer searches for health information. Participants were not asked to vote on or endorse the recommendations. Our working definition of a quality Web site was one that contained accurate, reliable, and complete information. Results The Internet has greatly improved access to health information for consumers. There is great variation in how consumers seek information via the Internet, and in how successful they are in searching for health information. Further, there is variation among Web sites, both in quality and accessibility. Many Web site features affect the capability of search engines to find and index them. Conclusions Research is needed to define quality elements of Web sites that could be retrieved by search engines and understand how to meet the needs of different types of searchers. Technological research should seek to develop more sophisticated approaches for tagging information, and to develop searches that "learn" from consumer behavior. Finally, education initiatives are needed to help consumers search more effectively and to help them critically evaluate the information they find. PMID:15249267

BIOMedical Search Engine Framework: Lightweight and customized implementation of domain-specific biomedical search engines.

PubMed

Jácome, Alberto G; Fdez-Riverola, Florentino; Lourenço, Anália

2016-07-01

Text mining and semantic analysis approaches can be applied to the construction of biomedical domain-specific search engines and provide an attractive alternative to create personalized and enhanced search experiences. Therefore, this work introduces the new open-source BIOMedical Search Engine Framework for the fast and lightweight development of domain-specific search engines. The rationale behind this framework is to incorporate core features typically available in search engine frameworks with flexible and extensible technologies to retrieve biomedical documents, annotate meaningful domain concepts, and develop highly customized Web search interfaces. The BIOMedical Search Engine Framework integrates taggers for major biomedical concepts, such as diseases, drugs, genes, proteins, compounds and organisms, and enables the use of domain-specific controlled vocabulary. Technologies from the Typesafe Reactive Platform, the AngularJS JavaScript framework and the Bootstrap HTML/CSS framework support the customization of the domain-oriented search application. Moreover, the RESTful API of the BIOMedical Search Engine Framework allows the integration of the search engine into existing systems or a complete web interface personalization. The construction of the Smart Drug Search is described as proof-of-concept of the BIOMedical Search Engine Framework. This public search engine catalogs scientific literature about antimicrobial resistance, microbial virulence and topics alike. The keyword-based queries of the users are transformed into concepts and search results are presented and ranked accordingly. The semantic graph view portraits all the concepts found in the results, and the researcher may look into the relevance of different concepts, the strength of direct relations, and non-trivial, indirect relations. The number of occurrences of the concept shows its importance to the query, and the frequency of concept co-occurrence is indicative of biological relations meaningful to that particular scope of research. Conversely, indirect concept associations, i.e. concepts related by other intermediary concepts, can be useful to integrate information from different studies and look into non-trivial relations. The BIOMedical Search Engine Framework supports the development of domain-specific search engines. The key strengths of the framework are modularity and extensibilityin terms of software design, the use of open-source consolidated Web technologies, and the ability to integrate any number of biomedical text mining tools and information resources. Currently, the Smart Drug Search keeps over 1,186,000 documents, containing more than 11,854,000 annotations for 77,200 different concepts. The Smart Drug Search is publicly accessible at http://sing.ei.uvigo.es/sds/. The BIOMedical Search Engine Framework is freely available for non-commercial use at https://github.com/agjacome/biomsef. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Surfing the web during pandemic flu: availability of World Health Organization recommendations on prevention

PubMed Central

2010-01-01

Background People often search for information on influenza A(H1N1)v prevention on the web. The extent to which information found on the Internet is consistent with recommendations issued by the World Health Organization is unknown. Methods We conducted a search for "swine flu" accessing 3 of the most popular search engines through different proxy servers located in 4 English-speaking countries (Australia, Canada, UK, USA). We explored each site resulting from the searches, up to 4 clicks starting from the search engine page, analyzing availability of World Health Organization recommendations for swine flu prevention. Results Information on hand cleaning was reported on 79% of the 147 websites analyzed; staying home when sick was reported on 77.5% of the websites; disposing tissues after sneezing on 75.5% of the websites. Availability of other recommendations was lower. The probability of finding preventative recommendations consistent with World Health Organization varied by country, type of website, and search engine. Conclusions Despite media coverage on H1N1 influenza, relevant information for prevention is not easily found on the web. Strategies to improve information delivery to the general public through this channel should be improved. PMID:20854690

Surfing the web during pandemic flu: availability of World Health Organization recommendations on prevention.

PubMed

Gesualdo, Francesco; Romano, Mariateresa; Pandolfi, Elisabetta; Rizzo, Caterina; Ravà, Lucilla; Lucente, Daniela; Tozzi, Alberto E

2010-09-20

People often search for information on influenza A(H1N1)v prevention on the web. The extent to which information found on the Internet is consistent with recommendations issued by the World Health Organization is unknown. We conducted a search for "swine flu" accessing 3 of the most popular search engines through different proxy servers located in 4 English-speaking countries (Australia, Canada, UK, USA). We explored each site resulting from the searches, up to 4 clicks starting from the search engine page, analyzing availability of World Health Organization recommendations for swine flu prevention. Information on hand cleaning was reported on 79% of the 147 websites analyzed; staying home when sick was reported on 77.5% of the websites; disposing tissues after sneezing on 75.5% of the websites. Availability of other recommendations was lower. The probability of finding preventative recommendations consistent with World Health Organization varied by country, type of website, and search engine. Despite media coverage on H1N1 influenza, relevant information for prevention is not easily found on the web. Strategies to improve information delivery to the general public through this channel should be improved.

Patient-Centered Tools for Medication Information Search

PubMed Central

Wilcox, Lauren; Feiner, Steven; Elhadad, Noémie; Vawdrey, David; Tran, Tran H.

2016-01-01

Recent research focused on online health information seeking highlights a heavy reliance on general-purpose search engines. However, current general-purpose search interfaces do not necessarily provide adequate support for non-experts in identifying suitable sources of health information. Popular search engines have recently introduced search tools in their user interfaces for a range of topics. In this work, we explore how such tools can support non-expert, patient-centered health information search. Scoping the current work to medication-related search, we report on findings from a formative study focused on the design of patient-centered, medication-information search tools. Our study included qualitative interviews with patients, family members, and domain experts, as well as observations of their use of Remedy, a technology probe embodying a set of search tools. Post-operative cardiothoracic surgery patients and their visiting family members used the tools to find information about their hospital medications and were interviewed before and after their use. Domain experts conducted similar search tasks and provided qualitative feedback on their preferences and recommendations for designing these tools. Findings from our study suggest the importance of four valuation principles underlying our tools: credibility, readability, consumer perspective, and topical relevance. PMID:28163972

Patient-Centered Tools for Medication Information Search.

PubMed

Wilcox, Lauren; Feiner, Steven; Elhadad, Noémie; Vawdrey, David; Tran, Tran H

2014-05-20

Recent research focused on online health information seeking highlights a heavy reliance on general-purpose search engines. However, current general-purpose search interfaces do not necessarily provide adequate support for non-experts in identifying suitable sources of health information. Popular search engines have recently introduced search tools in their user interfaces for a range of topics. In this work, we explore how such tools can support non-expert, patient-centered health information search. Scoping the current work to medication-related search, we report on findings from a formative study focused on the design of patient-centered, medication-information search tools. Our study included qualitative interviews with patients, family members, and domain experts, as well as observations of their use of Remedy, a technology probe embodying a set of search tools. Post-operative cardiothoracic surgery patients and their visiting family members used the tools to find information about their hospital medications and were interviewed before and after their use. Domain experts conducted similar search tasks and provided qualitative feedback on their preferences and recommendations for designing these tools. Findings from our study suggest the importance of four valuation principles underlying our tools: credibility, readability, consumer perspective, and topical relevance.

Enhanced identification of eligibility for depression research using an electronic medical record search engine.

PubMed

Seyfried, Lisa; Hanauer, David A; Nease, Donald; Albeiruti, Rashad; Kavanagh, Janet; Kales, Helen C

2009-12-01

Electronic medical records (EMRs) have become part of daily practice for many physicians. Attempts have been made to apply electronic search engine technology to speed EMR review. This was a prospective, observational study to compare the speed and clinical accuracy of a medical record search engine vs. manual review of the EMR. Three raters reviewed 49 cases in the EMR to screen for eligibility in a depression study using the electronic medical record search engine (EMERSE). One week later raters received a scrambled set of the same patients including 9 distractor cases, and used manual EMR review to determine eligibility. For both methods, accuracy was assessed for the original 49 cases by comparison with a gold standard rater. Use of EMERSE resulted in considerable time savings; chart reviews using EMERSE were significantly faster than traditional manual review (p=0.03). The percent agreement of raters with the gold standard (e.g. concurrent validity) using either EMERSE or manual review was not significantly different. Using a search engine optimized for finding clinical information in the free-text sections of the EMR can provide significant time savings while preserving clinical accuracy. The major power of this search engine is not from a more advanced and sophisticated search algorithm, but rather from a user interface designed explicitly to help users search the entire medical record in a way that protects health information.

Enhanced Identification of Eligibility for Depression Research Using an Electronic Medical Record Search Engine

PubMed Central

Seyfried, Lisa; Hanauer, David; Nease, Donald; Albeiruti, Rashad; Kavanagh, Janet; Kales, Helen C.

2009-01-01

Purpose Electronic medical records (EMR) have become part of daily practice for many physicians. Attempts have been made to apply electronic search engine technology to speed EMR review. This was a prospective, observational study to compare the speed and accuracy of electronic search engine vs. manual review of the EMR. Methods Three raters reviewed 49 cases in the EMR to screen for eligibility in a depression study using the electronic search engine (EMERSE). One week later raters received a scrambled set of the same patients including 9 distractor cases, and used manual EMR review to determine eligibility. For both methods, accuracy was assessed for the original 49 cases by comparison with a gold standard rater. Results Use of EMERSE resulted in considerable time savings; chart reviews using EMERSE were significantly faster than traditional manual review (p=0.03). The percent agreement of raters with the gold standard (e.g. concurrent validity) using either EMERSE or manual review was not significantly different. Conclusions Using a search engine optimized for finding clinical information in the free-text sections of the EMR can provide significant time savings while preserving reliability. The major power of this search engine is not from a more advanced and sophisticated search algorithm, but rather from a user interface designed explicitly to help users search the entire medical record in a way that protects health information. PMID:19560962

Anamneses-Based Internet Information Supply: Can a Combination of an Expert System and Meta-Search Engine Help Consumers find the Health Information they Require?

PubMed Central

Honekamp, Wilfried; Ostermann, Herwig

2010-01-01

An increasing number of people search for health information online. During the last 10 years various researchers have determined the requirements for an ideal consumer health information system. The aim of this study was to figure out, whether medical laymen can find a more accurate diagnosis for a given anamnesis via the developed prototype health information system than via ordinary internet search. In a randomized controlled trial, the prototype information system was evaluated by the assessment of two sample cases. Participants had to determine the diagnosis of a patient with a headache via information found searching the web. A patient’s history sheet and a computer with internet access were provided to the participants and they were guided through the study by an especially designed study website. The intervention group used the prototype information system; the control group used common search engines and portals. The numbers of correct diagnoses in each group were compared. A total of 140 (60/80) participants took part in two study sections. In the first case, which determined a common diagnosis, both groups did equally well. In the second section, which determined a less common and more complex case, the intervention group did significantly better (P=0.031) due to the tailored information supply. Using medical expert systems in combination with a portal searching meta-search engine represents a feasible strategy to provide reliable patient-tailored information and can ultimately contribute to patient safety with respect to information found via the internet. PMID:20502597

Improved Search Techniques

NASA Technical Reports Server (NTRS)

Albornoz, Caleb Ronald

2012-01-01

Thousands of millions of documents are stored and updated daily in the World Wide Web. Most of the information is not efficiently organized to build knowledge from the stored data. Nowadays, search engines are mainly used by users who rely on their skills to look for the information needed. This paper presents different techniques search engine users can apply in Google Search to improve the relevancy of search results. According to the Pew Research Center, the average person spends eight hours a month searching for the right information. For instance, a company that employs 1000 employees wastes $2.5 million dollars on looking for nonexistent and/or not found information. The cost is very high because decisions are made based on the information that is readily available to use. Whenever the information necessary to formulate an argument is not available or found, poor decisions may be made and mistakes will be more likely to occur. Also, the survey indicates that only 56% of Google users feel confident with their current search skills. Moreover, just 76% of the information that is available on the Internet is accurate.

An Annotated and Federated Digital Library of Marine Animal Sounds

DTIC Science & Technology

2005-01-01

of the annotations and the relevant segment delimitation points and linkages to other relevant metadata fields; e) search engines that support the...annotators to add information to the same recording, and search engines that permit either all-annotator or specific-annotator searches. To our knowledge

Utilization of a radiology-centric search engine.

PubMed

Sharpe, Richard E; Sharpe, Megan; Siegel, Eliot; Siddiqui, Khan

2010-04-01

Internet-based search engines have become a significant component of medical practice. Physicians increasingly rely on information available from search engines as a means to improve patient care, provide better education, and enhance research. Specialized search engines have emerged to more efficiently meet the needs of physicians. Details about the ways in which radiologists utilize search engines have not been documented. The authors categorized every 25th search query in a radiology-centric vertical search engine by radiologic subspecialty, imaging modality, geographic location of access, time of day, use of abbreviations, misspellings, and search language. Musculoskeletal and neurologic imagings were the most frequently searched subspecialties. The least frequently searched were breast imaging, pediatric imaging, and nuclear medicine. Magnetic resonance imaging and computed tomography were the most frequently searched modalities. A majority of searches were initiated in North America, but all continents were represented. Searches occurred 24 h/day in converted local times, with a majority occurring during the normal business day. Misspellings and abbreviations were common. Almost all searches were performed in English. Search engine utilization trends are likely to mirror trends in diagnostic imaging in the region from which searches originate. Internet searching appears to function as a real-time clinical decision-making tool, a research tool, and an educational resource. A more thorough understanding of search utilization patterns can be obtained by analyzing phrases as actually entered as well as the geographic location and time of origination. This knowledge may contribute to the development of more efficient and personalized search engines.

Query Log Analysis of an Electronic Health Record Search Engine

PubMed Central

Yang, Lei; Mei, Qiaozhu; Zheng, Kai; Hanauer, David A.

2011-01-01

We analyzed a longitudinal collection of query logs of a full-text search engine designed to facilitate information retrieval in electronic health records (EHR). The collection, 202,905 queries and 35,928 user sessions recorded over a course of 4 years, represents the information-seeking behavior of 533 medical professionals, including frontline practitioners, coding personnel, patient safety officers, and biomedical researchers for patient data stored in EHR systems. In this paper, we present descriptive statistics of the queries, a categorization of information needs manifested through the queries, as well as temporal patterns of the users’ information-seeking behavior. The results suggest that information needs in medical domain are substantially more sophisticated than those that general-purpose web search engines need to accommodate. Therefore, we envision there exists a significant challenge, along with significant opportunities, to provide intelligent query recommendations to facilitate information retrieval in EHR. PMID:22195150

Evaluating a federated medical search engine: tailoring the methodology and reporting the evaluation outcomes.

PubMed

Saparova, D; Belden, J; Williams, J; Richardson, B; Schuster, K

2014-01-01

Federated medical search engines are health information systems that provide a single access point to different types of information. Their efficiency as clinical decision support tools has been demonstrated through numerous evaluations. Despite their rigor, very few of these studies report holistic evaluations of medical search engines and even fewer base their evaluations on existing evaluation frameworks. To evaluate a federated medical search engine, MedSocket, for its potential net benefits in an established clinical setting. This study applied the Human, Organization, and Technology (HOT-fit) evaluation framework in order to evaluate MedSocket. The hierarchical structure of the HOT-factors allowed for identification of a combination of efficiency metrics. Human fit was evaluated through user satisfaction and patterns of system use; technology fit was evaluated through the measurements of time-on-task and the accuracy of the found answers; and organization fit was evaluated from the perspective of system fit to the existing organizational structure. Evaluations produced mixed results and suggested several opportunities for system improvement. On average, participants were satisfied with MedSocket searches and confident in the accuracy of retrieved answers. However, MedSocket did not meet participants' expectations in terms of download speed, access to information, and relevance of the search results. These mixed results made it necessary to conclude that in the case of MedSocket, technology fit had a significant influence on the human and organization fit. Hence, improving technological capabilities of the system is critical before its net benefits can become noticeable. The HOT-fit evaluation framework was instrumental in tailoring the methodology for conducting a comprehensive evaluation of the search engine. Such multidimensional evaluation of the search engine resulted in recommendations for system improvement.

Evaluating a Federated Medical Search Engine

PubMed Central

Belden, J.; Williams, J.; Richardson, B.; Schuster, K.

2014-01-01

Summary Background Federated medical search engines are health information systems that provide a single access point to different types of information. Their efficiency as clinical decision support tools has been demonstrated through numerous evaluations. Despite their rigor, very few of these studies report holistic evaluations of medical search engines and even fewer base their evaluations on existing evaluation frameworks. Objectives To evaluate a federated medical search engine, MedSocket, for its potential net benefits in an established clinical setting. Methods This study applied the Human, Organization, and Technology (HOT-fit) evaluation framework in order to evaluate MedSocket. The hierarchical structure of the HOT-factors allowed for identification of a combination of efficiency metrics. Human fit was evaluated through user satisfaction and patterns of system use; technology fit was evaluated through the measurements of time-on-task and the accuracy of the found answers; and organization fit was evaluated from the perspective of system fit to the existing organizational structure. Results Evaluations produced mixed results and suggested several opportunities for system improvement. On average, participants were satisfied with MedSocket searches and confident in the accuracy of retrieved answers. However, MedSocket did not meet participants’ expectations in terms of download speed, access to information, and relevance of the search results. These mixed results made it necessary to conclude that in the case of MedSocket, technology fit had a significant influence on the human and organization fit. Hence, improving technological capabilities of the system is critical before its net benefits can become noticeable. Conclusions The HOT-fit evaluation framework was instrumental in tailoring the methodology for conducting a comprehensive evaluation of the search engine. Such multidimensional evaluation of the search engine resulted in recommendations for system improvement. PMID:25298813

How to Find Reliable ENT Info

MedlinePlus

... about your condition may be difficult. Most search engines and directories do not rank information from your ... you to buy its product paid the search engine company to list it near the top. Your ...

[Information about electroconvulsive therapy on the internet].

PubMed

Degraeve, G; Van Heeringen, C; Audenaert, K

2006-01-01

This article aims to provide a quantitative and qualitative assessment of the information about electroconvulsive therapy that is currently available on the internet. We carried out a quantitative assessment by entering five search terms into eight (meta)search engines. We achieved our qualitative assessment by visiting the first twenty websites generated by each search on one of the search engines, in particular Google (www.google.com), and by scoring these websites with an adapted Sandvik-score. We conclude that the scored websites are technically sound but are incomplete as far as content is concerned.

Searches Conducted for Engineers.

ERIC Educational Resources Information Center

Lorenz, Patricia

This paper reports an industrial information specialist's experience in performing online searches for engineers and surveys the databases used. Engineers seeking assistance fall into three categories: (1) those who recognize the value of online retrieval; (2) referrals by colleagues; and (3) those who do not seek help. As more successful searches…

What do patients know about their low back pain? An analysis of the quality of information available on the Internet.

PubMed

Galbusera, Fabio; Brayda-Bruno, Marco; Freutel, Maren; Seitz, Andreas; Steiner, Malte; Wehrle, Esther; Wilke, Hans-Joachim

2012-01-01

Previous surveys showed a poor quality of the web sites providing health information about low back pain. However, the rapid and continuous evolution of the Internet content may question the current validity of those investigations. The present study is aimed to quantitatively assess the quality of the Internet information about low back pain retrieved with the most commonly employed search engines. An Internet search with the keywords "low back pain" has been performed with Google, Yahoo!® and Bing™ in the English language. The top 30 hits obtained with each search engine were evaluated by five independent raters and averaged following criteria derived from previous works. All search results were categorized as declaring compliant to a quality standard for health information (e.g. HONCode) or not and based on the web site type (Institutional, Free informative, Commercial, News, Social Network, Unknown). The quality of the hits retrieved by the three search engines was extremely similar. The web sites had a clear purpose, were easy to navigate, and mostly lacked in validity and quality of the provided links. The conformity to a quality standard was correlated with a marked greater quality of the web sites in all respects. Institutional web sites had the best validity and ease of use. Free informative web sites had good quality but a markedly lower validity compared to Institutional websites. Commercial web sites provided more biased information. News web sites were well designed and easy to use, but lacked in validity. The average quality of the hits retrieved by the most commonly employed search engines could be defined as satisfactory and favorably comparable with previous investigations. Awareness of the user about checking the quality of the information remains of concern.

An assessment of the visibility of MeSH-indexed medical web catalogs through search engines.

PubMed

Zweigenbaum, P; Darmoni, S J; Grabar, N; Douyère, M; Benichou, J

2002-01-01

Manually indexed Internet health catalogs such as CliniWeb or CISMeF provide resources for retrieving high-quality health information. Users of these quality-controlled subject gateways are most often referred to them by general search engines such as Google, AltaVista, etc. This raises several questions, among which the following: what is the relative visibility of medical Internet catalogs through search engines? This study addresses this issue by measuring and comparing the visibility of six major, MeSH-indexed health catalogs through four different search engines (AltaVista, Google, Lycos, Northern Light) in two languages (English and French). Over half a million queries were sent to the search engines; for most of these search engines, according to our measures at the time the queries were sent, the most visible catalog for English MeSH terms was CliniWeb and the most visible one for French MeSH terms was CISMeF.

Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE).

PubMed

Hanauer, David A; Mei, Qiaozhu; Law, James; Khanna, Ritu; Zheng, Kai

2015-06-01

This paper describes the University of Michigan's nine-year experience in developing and using a full-text search engine designed to facilitate information retrieval (IR) from narrative documents stored in electronic health records (EHRs). The system, called the Electronic Medical Record Search Engine (EMERSE), functions similar to Google but is equipped with special functionalities for handling challenges unique to retrieving information from medical text. Key features that distinguish EMERSE from general-purpose search engines are discussed, with an emphasis on functions crucial to (1) improving medical IR performance and (2) assuring search quality and results consistency regardless of users' medical background, stage of training, or level of technical expertise. Since its initial deployment, EMERSE has been enthusiastically embraced by clinicians, administrators, and clinical and translational researchers. To date, the system has been used in supporting more than 750 research projects yielding 80 peer-reviewed publications. In several evaluation studies, EMERSE demonstrated very high levels of sensitivity and specificity in addition to greatly improved chart review efficiency. Increased availability of electronic data in healthcare does not automatically warrant increased availability of information. The success of EMERSE at our institution illustrates that free-text EHR search engines can be a valuable tool to help practitioners and researchers retrieve information from EHRs more effectively and efficiently, enabling critical tasks such as patient case synthesis and research data abstraction. EMERSE, available free of charge for academic use, represents a state-of-the-art medical IR tool with proven effectiveness and user acceptance. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector

NASA Astrophysics Data System (ADS)

König, Florian; van Velsen, Lex; Paramythis, Alexandros

This paper provides an overview of Prospector, a personalized Internet meta-search engine, which utilizes a combination of ontological information, ratings-based models of user interests, and complementary theme-oriented group models to recommend (through re-ranking) search results obtained from an underlying search engine. Re-ranking brings “closer to the top” those items that are of particular interest to a user or have high relevance to a given theme. A user-based, real-world evaluation has shown that the system is effective in promoting results of interest, but lags behind Google in user acceptance, possibly due to the absence of features popularized by said search engine. Overall, users would consider employing a personalized search engine to perform searches with terms that require disambiguation and / or contextualization.

Web Search Studies: Multidisciplinary Perspectives on Web Search Engines

NASA Astrophysics Data System (ADS)

Zimmer, Michael

Perhaps the most significant tool of our internet age is the web search engine, providing a powerful interface for accessing the vast amount of information available on the world wide web and beyond. While still in its infancy compared to the knowledge tools that precede it - such as the dictionary or encyclopedia - the impact of web search engines on society and culture has already received considerable attention from a variety of academic disciplines and perspectives. This article aims to organize a meta-discipline of “web search studies,” centered around a nucleus of major research on web search engines from five key perspectives: technical foundations and evaluations; transaction log analyses; user studies; political, ethical, and cultural critiques; and legal and policy analyses.

Where people look for online health information.

PubMed

LaValley, Susan A; Kiviniemi, Marc T; Gage-Bouchard, Elizabeth A

2017-06-01

To identify health-related websites Americans are using, demographic characteristics associated with certain website type and how website type shapes users' online information seeking experiences. Data from the Health Information National Trends Survey 4 Cycle 1 were used. User-identified websites were categorised into four types: government sponsored, commercially based, academically affiliated and search engines. Logistic regression analyses examined associations between users' sociodemographic characteristics and website type, and associations between website type and information search experience. Respondents reported using: commercial websites (71.8%), followed by a search engines (11.6%), academically affiliated sites (11.1%) and government-sponsored websites (5.5%). Older age was associated with the use of academic websites (OR 1.03, 95% CI 1.02, 1.04); younger age with commercial website use (OR 0.97, 95% CI 0.95, 0.98). Search engine use predicted increased levels of frustration, effort and concern over website information quality, while commercial website use predicted decreased levels of these same measures. Health information seekers experience varying levels of frustration, effort and concern related to their online searching. There is a need for continued efforts by librarians and health care professionals to train seekers of online health information to select websites using established guidelines and quality criteria. © 2016 Health Libraries Group.

Design implications for task-specific search utilities for retrieval and re-engineering of code

NASA Astrophysics Data System (ADS)

Iqbal, Rahat; Grzywaczewski, Adam; Halloran, John; Doctor, Faiyaz; Iqbal, Kashif

2017-05-01

The importance of information retrieval systems is unquestionable in the modern society and both individuals as well as enterprises recognise the benefits of being able to find information effectively. Current code-focused information retrieval systems such as Google Code Search, Codeplex or Koders produce results based on specific keywords. However, these systems do not take into account developers' context such as development language, technology framework, goal of the project, project complexity and developer's domain expertise. They also impose additional cognitive burden on users in switching between different interfaces and clicking through to find the relevant code. Hence, they are not used by software developers. In this paper, we discuss how software engineers interact with information and general-purpose information retrieval systems (e.g. Google, Yahoo!) and investigate to what extent domain-specific search and recommendation utilities can be developed in order to support their work-related activities. In order to investigate this, we conducted a user study and found that software engineers followed many identifiable and repeatable work tasks and behaviours. These behaviours can be used to develop implicit relevance feedback-based systems based on the observed retention actions. Moreover, we discuss the implications for the development of task-specific search and collaborative recommendation utilities embedded with the Google standard search engine and Microsoft IntelliSense for retrieval and re-engineering of code. Based on implicit relevance feedback, we have implemented a prototype of the proposed collaborative recommendation system, which was evaluated in a controlled environment simulating the real-world situation of professional software engineers. The evaluation has achieved promising initial results on the precision and recall performance of the system.

Tracing medical information over the Internet.

PubMed

Mutairi, S M

2000-05-01

The Internet became with do doubt a huge and valuable source of information for researchers. The wealth of information on the Internet is second to none and medical information is no exception. Yet with the vast expansion of the Internet and the World Wide Web in specie, to find the kind of information one is looking for, he/she needs to browse thousands of web sites and the experience would be like digging into a stack of hay looking for a needle. That's why search engines and subject indexes, as means to overcome this problem, were introduced and grew so rapidly. In general, there are three approaches to retrieve data from the World Wide Web; the subject directories, search engines and detailed subject indexes. However, there is no single comprehensive search engine or directory and it is recommended to use more than one with different keywords and synonymous.

Problems of information support in scientific research

NASA Astrophysics Data System (ADS)

Shamaev, V. G.; Gorshkov, A. B.

2015-11-01

This paper reports on the creation of the open access Akustika portal (AKDATA.RU) designed to provide Russian-language easy-to-read and search information on acoustics and related topics. The absence of a Russian-language publication in foreign databases means that it is effectively lost for much of the scientific community. The portal has three interrelated sections: the Akustika information search system (ISS) (Acoustics), full-text archive of the Akusticheskii Zhurnal (Acoustic Journal), and 'Signal'naya informatsiya' ('Signaling information') on acoustics. The paper presents a description of the Akustika ISS, including its structure, content, interface, and information search capabilities for basic and applied research in diverse areas of science, engineering, biology, medicine, etc. The intended users of the portal are physicists, engineers, and engineering technologists interested in expanding their research activities and seeking to increase their knowledge base. Those studying current trends in the Russian-language contribution to international science may also find the portal useful.

Our Commitment to Reliable Health and Medical Information

MedlinePlus

... 000 visitors world-wide per day. HONcode Toolbar: search engine and checker of the certification status Automatically checks ... HONcode status when browsing health web sites. The search engine indexes only HONcode-certified sites. HONcodeHunt currently includes ...

Informational content of official pharmaceutical industry web sites about treatments for erectile dysfunction.

PubMed

Waack, Katherine E; Ernst, Michael E; Graber, Mark A

2004-12-01

In the last 5 years, several treatments have become available for erectile dysfunction (ED). During this same period, consumer use of the Internet for health information has increased rapidly. In traditional direct-to-consumer advertisements, viewers are often referred to a pharmaceutical company Web site for further information. To evaluate the accessibility and informational content of 5 pharmaceutical company Web sites about ED treatments. Using 10 popular search engines and 1 specialized search engine, the accessibility of the official pharmaceutical company-sponsored Web site was determined by searching under brand and generic names. One company also manufactures an ED device; this site was also included. A structured, explicit review of information found on these sites was conducted. Of 110 searches (1 for each treatment, including corresponding generic drug name, using each search engine), 68 yielded the official pharmaceutical company Web site within the first 10 links. Removal of outliers (for both brand and generic name searches) resulted in 68 of 77 searches producing the pharmaceutical company Web site for the brand-name drug in the top 10 links. Although all pharmaceutical company Web sites contained general information on adverse effects and contraindications to use, only 2 sites gave actual percentages. Three sites provided references for their materials or discussed other treatment or drug options, while 4 of the sites contained profound advertising or emotive content. None mentioned cost of the therapy. The information contained on pharmaceutical company Web sites for ED treatments is superficial and aimed primarily at consumers. It is largely promotional and provides only limited information needed to effectively compare treatment options.

Improving Web Search for Difficult Queries

ERIC Educational Resources Information Center

Wang, Xuanhui

2009-01-01

Search engines have now become essential tools in all aspects of our life. Although a variety of information needs can be served very successfully, there are still a lot of queries that search engines can not answer very effectively and these queries always make users feel frustrated. Since it is quite often that users encounter such "difficult…

Search Engines: A Primer on Finding Information on the World Wide Web.

ERIC Educational Resources Information Center

Maddux, Cleborne

1996-01-01

Presents an annotated list of several World Wide Web search engines, including Yahoo, Infoseek, Alta Vista, Magellan, Lycos, Webcrawler, Excite, Deja News, and the LISZT Directory of discussion groups. Uniform Resource Locators (URLs) are included. Discussion assesses performance and describes rules and syntax for refining or limiting a search.…

Development and tuning of an original search engine for patent libraries in medicinal chemistry.

PubMed

Pasche, Emilie; Gobeill, Julien; Kreim, Olivier; Oezdemir-Zaech, Fatma; Vachon, Therese; Lovis, Christian; Ruch, Patrick

2014-01-01

The large increase in the size of patent collections has led to the need of efficient search strategies. But the development of advanced text-mining applications dedicated to patents of the biomedical field remains rare, in particular to address the needs of the pharmaceutical & biotech industry, which intensively uses patent libraries for competitive intelligence and drug development. We describe here the development of an advanced retrieval engine to search information in patent collections in the field of medicinal chemistry. We investigate and combine different strategies and evaluate their respective impact on the performance of the search engine applied to various search tasks, which covers the putatively most frequent search behaviours of intellectual property officers in medical chemistry: 1) a prior art search task; 2) a technical survey task; and 3) a variant of the technical survey task, sometimes called known-item search task, where a single patent is targeted. The optimal tuning of our engine resulted in a top-precision of 6.76% for the prior art search task, 23.28% for the technical survey task and 46.02% for the variant of the technical survey task. We observed that co-citation boosting was an appropriate strategy to improve prior art search tasks, while IPC classification of queries was improving retrieval effectiveness for technical survey tasks. Surprisingly, the use of the full body of the patent was always detrimental for search effectiveness. It was also observed that normalizing biomedical entities using curated dictionaries had simply no impact on the search tasks we evaluate. The search engine was finally implemented as a web-application within Novartis Pharma. The application is briefly described in the report. We have presented the development of a search engine dedicated to patent search, based on state of the art methods applied to patent corpora. We have shown that a proper tuning of the system to adapt to the various search tasks clearly increases the effectiveness of the system. We conclude that different search tasks demand different information retrieval engines' settings in order to yield optimal end-user retrieval.

Development and tuning of an original search engine for patent libraries in medicinal chemistry

PubMed Central

2014-01-01

Background The large increase in the size of patent collections has led to the need of efficient search strategies. But the development of advanced text-mining applications dedicated to patents of the biomedical field remains rare, in particular to address the needs of the pharmaceutical & biotech industry, which intensively uses patent libraries for competitive intelligence and drug development. Methods We describe here the development of an advanced retrieval engine to search information in patent collections in the field of medicinal chemistry. We investigate and combine different strategies and evaluate their respective impact on the performance of the search engine applied to various search tasks, which covers the putatively most frequent search behaviours of intellectual property officers in medical chemistry: 1) a prior art search task; 2) a technical survey task; and 3) a variant of the technical survey task, sometimes called known-item search task, where a single patent is targeted. Results The optimal tuning of our engine resulted in a top-precision of 6.76% for the prior art search task, 23.28% for the technical survey task and 46.02% for the variant of the technical survey task. We observed that co-citation boosting was an appropriate strategy to improve prior art search tasks, while IPC classification of queries was improving retrieval effectiveness for technical survey tasks. Surprisingly, the use of the full body of the patent was always detrimental for search effectiveness. It was also observed that normalizing biomedical entities using curated dictionaries had simply no impact on the search tasks we evaluate. The search engine was finally implemented as a web-application within Novartis Pharma. The application is briefly described in the report. Conclusions We have presented the development of a search engine dedicated to patent search, based on state of the art methods applied to patent corpora. We have shown that a proper tuning of the system to adapt to the various search tasks clearly increases the effectiveness of the system. We conclude that different search tasks demand different information retrieval engines' settings in order to yield optimal end-user retrieval. PMID:24564220

Quality of Web-based information on obsessive compulsive disorder.

PubMed

Klila, Hedi; Chatton, Anne; Zermatten, Ariane; Khan, Riaz; Preisig, Martin; Khazaal, Yasser

2013-01-01

The Internet is increasingly used as a source of information for mental health issues. The burden of obsessive compulsive disorder (OCD) may lead persons with diagnosed or undiagnosed OCD, and their relatives, to search for good quality information on the Web. This study aimed to evaluate the quality of Web-based information on English-language sites dealing with OCD and to compare the quality of websites found through a general and a medically specialized search engine. Keywords related to OCD were entered into Google and OmniMedicalSearch. Websites were assessed on the basis of accountability, interactivity, readability, and content quality. The "Health on the Net" (HON) quality label and the Brief DISCERN scale score were used as possible content quality indicators. Of the 235 links identified, 53 websites were analyzed. The content quality of the OCD websites examined was relatively good. The use of a specialized search engine did not offer an advantage in finding websites with better content quality. A score ≥16 on the Brief DISCERN scale is associated with better content quality. This study shows the acceptability of the content quality of OCD websites. There is no advantage in searching for information with a specialized search engine rather than a general one. The Internet offers a number of high quality OCD websites. It remains critical, however, to have a provider-patient talk about the information found on the Web.

NASA Image eXchange (NIX)

NASA Technical Reports Server (NTRS)

vonOfenheim. William H. C.; Heimerl, N. Lynn; Binkley, Robert L.; Curry, Marty A.; Slater, Richard T.; Nolan, Gerald J.; Griswold, T. Britt; Kovach, Robert D.; Corbin, Barney H.; Hewitt, Raymond W.

1998-01-01

This paper discusses the technical aspects of and the project background for the NASA Image exchange (NIX). NIX, which provides a single entry point to search selected image databases at the NASA Centers, is a meta-search engine (i.e., a search engine that communicates with other search engines). It uses these distributed digital image databases to access photographs, animations, and their associated descriptive information (meta-data). NIX is available for use at the following URL: http://nix.nasa.gov./NIX, which was sponsored by NASAs Scientific and Technical Information (STI) Program, currently serves images from seven NASA Centers. Plans are under way to link image databases from three additional NASA Centers. images and their associated meta-data, which are accessible by NIX, reside at the originating Centers, and NIX utilizes a virtual central site that communicates with each of these sites. Incorporated into the virtual central site are several protocols to support searches from a diverse collection of database engines. The searches are performed in parallel to ensure optimization of response times. To augment the search capability, browse functionality with pre-defined categories has been built into NIX, thereby ensuring dissemination of 'best-of-breed' imagery. As a final recourse, NIX offers access to a help desk via an on-line form to help locate images and information either within the scope of NIX or from available external sources.

Federated Search and the Library Web Site: A Study of Association of Research Libraries Member Web Sites

ERIC Educational Resources Information Center

Williams, Sarah C.

2010-01-01

The purpose of this study was to investigate how federated search engines are incorporated into the Web sites of libraries in the Association of Research Libraries. In 2009, information was gathered for each library in the Association of Research Libraries with a federated search engine. This included the name of the federated search service and…

Seeking health information online: does Wikipedia matter?

PubMed

Laurent, Michaël R; Vickers, Tim J

2009-01-01

OBJECTIVE To determine the significance of the English Wikipedia as a source of online health information. DESIGN The authors measured Wikipedia's ranking on general Internet search engines by entering keywords from MedlinePlus, NHS Direct Online, and the National Organization of Rare Diseases as queries into search engine optimization software. We assessed whether article quality influenced this ranking. The authors tested whether traffic to Wikipedia coincided with epidemiological trends and news of emerging health concerns, and how it compares to MedlinePlus. MEASUREMENTS Cumulative incidence and average position of Wikipedia compared to other Web sites among the first 20 results on general Internet search engines (Google, Google UK, Yahoo, and MSN, and page view statistics for selected Wikipedia articles and MedlinePlus pages. RESULTS Wikipedia ranked among the first ten results in 71-85% of search engines and keywords tested. Wikipedia surpassed MedlinePlus and NHS Direct Online (except for queries from the latter on Google UK), and ranked higher with quality articles. Wikipedia ranked highest for rare diseases, although its incidence in several categories decreased. Page views increased parallel to the occurrence of 20 seasonal disorders and news of three emerging health concerns. Wikipedia articles were viewed more often than MedlinePlus Topic (p = 0.001) but for MedlinePlus Encyclopedia pages, the trend was not significant (p = 0.07-0.10). CONCLUSIONS Based on its search engine ranking and page view statistics, the English Wikipedia is a prominent source of online health information compared to the other online health information providers studied.

Multi-source and ontology-based retrieval engine for maize mutant phenotypes

PubMed Central

Green, Jason M.; Harnsomburana, Jaturon; Schaeffer, Mary L.; Lawrence, Carolyn J.; Shyu, Chi-Ren

2011-01-01

Model Organism Databases, including the various plant genome databases, collect and enable access to massive amounts of heterogeneous information, including sequence data, gene product information, images of mutant phenotypes, etc, as well as textual descriptions of many of these entities. While a variety of basic browsing and search capabilities are available to allow researchers to query and peruse the names and attributes of phenotypic data, next-generation search mechanisms that allow querying and ranking of text descriptions are much less common. In addition, the plant community needs an innovative way to leverage the existing links in these databases to search groups of text descriptions simultaneously. Furthermore, though much time and effort have been afforded to the development of plant-related ontologies, the knowledge embedded in these ontologies remains largely unused in available plant search mechanisms. Addressing these issues, we have developed a unique search engine for mutant phenotypes from MaizeGDB. This advanced search mechanism integrates various text description sources in MaizeGDB to aid a user in retrieving desired mutant phenotype information. Currently, descriptions of mutant phenotypes, loci and gene products are utilized collectively for each search, though expansion of the search mechanism to include other sources is straightforward. The retrieval engine, to our knowledge, is the first engine to exploit the content and structure of available domain ontologies, currently the Plant and Gene Ontologies, to expand and enrich retrieval results in major plant genomic databases. Database URL: http:www.PhenomicsWorld.org/QBTA.php PMID:21558151

A fuzzy-match search engine for physician directories.

PubMed

Rastegar-Mojarad, Majid; Kadolph, Christopher; Ye, Zhan; Wall, Daniel; Murali, Narayana; Lin, Simon

2014-11-04

A search engine to find physicians' information is a basic but crucial function of a health care provider's website. Inefficient search engines, which return no results or incorrect results, can lead to patient frustration and potential customer loss. A search engine that can handle misspellings and spelling variations of names is needed, as the United States (US) has culturally, racially, and ethnically diverse names. The Marshfield Clinic website provides a search engine for users to search for physicians' names. The current search engine provides an auto-completion function, but it requires an exact match. We observed that 26% of all searches yielded no results. The goal was to design a fuzzy-match algorithm to aid users in finding physicians easier and faster. Instead of an exact match search, we used a fuzzy algorithm to find similar matches for searched terms. In the algorithm, we solved three types of search engine failures: "Typographic", "Phonetic spelling variation", and "Nickname". To solve these mismatches, we used a customized Levenshtein distance calculation that incorporated Soundex coding and a lookup table of nicknames derived from US census data. Using the "Challenge Data Set of Marshfield Physician Names," we evaluated the accuracy of fuzzy-match engine-top ten (90%) and compared it with exact match (0%), Soundex (24%), Levenshtein distance (59%), and fuzzy-match engine-top one (71%). We designed, created a reference implementation, and evaluated a fuzzy-match search engine for physician directories. The open-source code is available at the codeplex website and a reference implementation is available for demonstration at the datamarsh website.

Examining the themes of STD-related Internet searches to increase specificity of disease forecasting using Internet search terms.

PubMed

Johnson, Amy K; Mikati, Tarek; Mehta, Supriya D

2016-11-09

US surveillance of sexually transmitted diseases (STDs) is often delayed and incomplete which creates missed opportunities to identify and respond to trends in disease. Internet search engine data has the potential to be an efficient, economical and representative enhancement to the established surveillance system. Google Trends allows the download of de-identified search engine data, which has been used to demonstrate the positive and statistically significant association between STD-related search terms and STD rates. In this study, search engine user content was identified by surveying specific exposure groups of individuals (STD clinic patients and university students) aged 18-35. Participants were asked to list the terms they use to search for STD-related information. Google Correlate was used to validate search term content. On average STD clinic participant queries were longer compared to student queries. STD clinic participants were more likely to report using search terms that were related to symptomatology such as describing symptoms of STDs, while students were more likely to report searching for general information. These differences in search terms by subpopulation have implications for STD surveillance in populations at most risk for disease acquisition.

Quality of anaesthesia-related information accessed via Internet searches.

PubMed

Caron, S; Berton, J; Beydon, L

2007-08-01

We conducted a study to examine the quality and stability of information available from the Internet on four anaesthesia-related topics. In January 2006, we searched using four key words (porphyria, scleroderma, transfusion risk, and epidural analgesia risk) with five search engines (Google, HotBot, AltaVista, Excite, and Yahoo). We used a published scoring system (NetScoring) to evaluate the first 15 sites identified by each of these 20 searches. We also used a simple four-point scale to assess the first 100 sites in the Google search on one of our four topics ('epidural analgesia risk'). In November 2006, we conducted a second evaluation, using three search engines (Google, AltaVista, and Yahoo) with 14 synonyms for 'epidural analgesia risk'. The five search engines performed similarly. NetScoring scores were lower for transfusion risk (P < 0.001). One or more high-quality sites was identified consistently among the first 15 sites in each search. Quality scored using the simple scale correlated closely with medical content and design by NetScoring and with the number of references (P < 0.05). Synonyms of 'epidural analgesia risk' yielded similar results. The quality of accessed information improved somewhat over the 11 month period with Yahoo and AltaVista, but declined with Google. The Internet is a valuable tool for obtaining medical information, but the quality of websites varies between different topics. A simple rating scale may facilitate the quality scoring on individual websites. Differences in precise search terms used for a given topic did not appear to affect the quality of the information obtained.

Use of Web Search Engines and Personalisation in Information Searching for Educational Purposes

ERIC Educational Resources Information Center

Salehi, Sara; Du, Jia Tina; Ashman, Helen

2018-01-01

Introduction: Students increasingly depend on Web search for educational purposes. This causes concerns among education providers as some evidence indicates that in higher education, the disadvantages of Web search and personalised information are not justified by the benefits. Method: One hundred and twenty university students were surveyed about…

Directing the public to evidence-based online content

PubMed Central

Cooper, Crystale Purvis; Gelb, Cynthia A; Vaughn, Alexandra N; Smuland, Jenny; Hughes, Alexandra G; Hawkins, Nikki A

2015-01-01

To direct online users searching for gynecologic cancer information to accurate content, the Centers for Disease Control and Prevention’s (CDC) ‘Inside Knowledge: Get the Facts About Gynecologic Cancer’ campaign sponsored search engine advertisements in English and Spanish. From June 2012 to August 2013, advertisements appeared when US Google users entered search terms related to gynecologic cancer. Users who clicked on the advertisements were directed to relevant content on the CDC website. Compared with the 3 months before the initiative (March–May 2012), visits to the CDC web pages linked to the advertisements were 26 times higher after the initiative began (June–August 2012) (p<0.01), and 65 times higher when the search engine advertisements were supplemented with promotion on television and additional websites (September 2012–August 2013) (p<0.01). Search engine advertisements can direct users to evidence-based content at a highly teachable moment—when they are seeking relevant information. PMID:25053580

Electronic Biomedical Literature Search for Budding Researcher

PubMed Central

Thakre, Subhash B.; Thakre S, Sushama S.; Thakre, Amol D.

2013-01-01

Search for specific and well defined literature related to subject of interest is the foremost step in research. When we are familiar with topic or subject then we can frame appropriate research question. Appropriate research question is the basis for study objectives and hypothesis. The Internet provides a quick access to an overabundance of the medical literature, in the form of primary, secondary and tertiary literature. It is accessible through journals, databases, dictionaries, textbooks, indexes, and e-journals, thereby allowing access to more varied, individualised, and systematic educational opportunities. Web search engine is a tool designed to search for information on the World Wide Web, which may be in the form of web pages, images, information, and other types of files. Search engines for internet-based search of medical literature include Google, Google scholar, Scirus, Yahoo search engine, etc., and databases include MEDLINE, PubMed, MEDLARS, etc. Several web-libraries (National library Medicine, Cochrane, Web of Science, Medical matrix, Emory libraries) have been developed as meta-sites, providing useful links to health resources globally. A researcher must keep in mind the strengths and limitations of a particular search engine/database while searching for a particular type of data. Knowledge about types of literature, levels of evidence, and detail about features of search engine as available, user interface, ease of access, reputable content, and period of time covered allow their optimal use and maximal utility in the field of medicine. Literature search is a dynamic and interactive process; there is no one way to conduct a search and there are many variables involved. It is suggested that a systematic search of literature that uses available electronic resource effectively, is more likely to produce quality research. PMID:24179937

Electronic biomedical literature search for budding researcher.

PubMed

Thakre, Subhash B; Thakre S, Sushama S; Thakre, Amol D

2013-09-01

Search for specific and well defined literature related to subject of interest is the foremost step in research. When we are familiar with topic or subject then we can frame appropriate research question. Appropriate research question is the basis for study objectives and hypothesis. The Internet provides a quick access to an overabundance of the medical literature, in the form of primary, secondary and tertiary literature. It is accessible through journals, databases, dictionaries, textbooks, indexes, and e-journals, thereby allowing access to more varied, individualised, and systematic educational opportunities. Web search engine is a tool designed to search for information on the World Wide Web, which may be in the form of web pages, images, information, and other types of files. Search engines for internet-based search of medical literature include Google, Google scholar, Scirus, Yahoo search engine, etc., and databases include MEDLINE, PubMed, MEDLARS, etc. Several web-libraries (National library Medicine, Cochrane, Web of Science, Medical matrix, Emory libraries) have been developed as meta-sites, providing useful links to health resources globally. A researcher must keep in mind the strengths and limitations of a particular search engine/database while searching for a particular type of data. Knowledge about types of literature, levels of evidence, and detail about features of search engine as available, user interface, ease of access, reputable content, and period of time covered allow their optimal use and maximal utility in the field of medicine. Literature search is a dynamic and interactive process; there is no one way to conduct a search and there are many variables involved. It is suggested that a systematic search of literature that uses available electronic resource effectively, is more likely to produce quality research.

Is It "Writing on Water" or "Strike It Rich?" The Experiences of Prospective Teachers in Using Search Engines

ERIC Educational Resources Information Center

Sahin, Abdurrahman; Cermik, Hulya; Dogan, Birsen

2010-01-01

Information searching skills have become increasingly important for prospective teachers with the exponential growth of learning materials on the web. This study is an attempt to understand the experiences of prospective teachers with search engines through metaphoric images and to further investigate whether their experiences are related to the…

Can people find patient decision aids on the Internet?

PubMed

Morris, Debra; Drake, Elizabeth; Saarimaki, Anton; Bennett, Carol; O'Connor, Annette

2008-12-01

To determine if people could find patient decision aids (PtDAs) on the Internet using the most popular general search engines. We chose five medical conditions for which English language PtDAs were available from at least three different developers. The search engines used were: Google (www.google.com), Yahoo! (www.yahoo.com), and MSN (www.msn.com). For each condition and search engine we ran six searches using a combination of search terms. We coded all non-sponsored Web pages that were linked from the first page of the search results. Most first page results linked to informational Web pages about the condition, only 16% linked to PtDAs. PtDAs were more readily found for the breast cancer surgery decision (our searches found seven of the nine developers). The searches using Yahoo and Google search engines were more likely to find PtDAs. The following combination of search terms: condition, treatment, decision (e.g. breast cancer surgery decision) was most successful across all search engines (29%). While some terms and search engines were more successful, few resulted in direct links to PtDAs. Finding PtDAs would be improved with use of standardized labelling, providing patients with specific Web site addresses or access to an independent PtDA clearinghouse.

Semantic interpretation of search engine resultant

NASA Astrophysics Data System (ADS)

Nasution, M. K. M.

2018-01-01

In semantic, logical language can be interpreted in various forms, but the certainty of meaning is included in the uncertainty, which directly always influences the role of technology. One results of this uncertainty applies to search engines as user interfaces with information spaces such as the Web. Therefore, the behaviour of search engine results should be interpreted with certainty through semantic formulation as interpretation. Behaviour formulation shows there are various interpretations that can be done semantically either temporary, inclusion, or repeat.

An assessment of the visibility of MeSH-indexed medical web catalogs through search engines.

PubMed Central

Zweigenbaum, P.; Darmoni, S. J.; Grabar, N.; Douyère, M.; Benichou, J.

2002-01-01

Manually indexed Internet health catalogs such as CliniWeb or CISMeF provide resources for retrieving high-quality health information. Users of these quality-controlled subject gateways are most often referred to them by general search engines such as Google, AltaVista, etc. This raises several questions, among which the following: what is the relative visibility of medical Internet catalogs through search engines? This study addresses this issue by measuring and comparing the visibility of six major, MeSH-indexed health catalogs through four different search engines (AltaVista, Google, Lycos, Northern Light) in two languages (English and French). Over half a million queries were sent to the search engines; for most of these search engines, according to our measures at the time the queries were sent, the most visible catalog for English MeSH terms was CliniWeb and the most visible one for French MeSH terms was CISMeF. PMID:12463965

A cognitive evaluation of four online search engines for answering definitional questions posed by physicians.

PubMed

Yu, Hong; Kaufman, David

2007-01-01

The Internet is having a profound impact on physicians' medical decision making. One recent survey of 277 physicians showed that 72% of physicians regularly used the Internet to research medical information and 51% admitted that information from web sites influenced their clinical decisions. This paper describes the first cognitive evaluation of four state-of-the-art Internet search engines: Google (i.e., Google and Scholar.Google), MedQA, Onelook, and PubMed for answering definitional questions (i.e., questions with the format of "What is X?") posed by physicians. Onelook is a portal for online definitions, and MedQA is a question answering system that automatically generates short texts to answer specific biomedical questions. Our evaluation criteria include quality of answer, ease of use, time spent, and number of actions taken. Our results show that MedQA outperforms Onelook and PubMed in most of the criteria, and that MedQA surpasses Google in time spent and number of actions, two important efficiency criteria. Our results show that Google is the best system for quality of answer and ease of use. We conclude that Google is an effective search engine for medical definitions, and that MedQA exceeds the other search engines in that it provides users direct answers to their questions; while the users of the other search engines have to visit several sites before finding all of the pertinent information.

Qualitative assessment of online information about age-related macular degeneration available in Portuguese.

PubMed

Agi, Jorge; Kasahara, Niro; Lottenberg, Claudio Luiz

2018-06-07

To evaluate the quality of online information on age-related macular degeneration available in Portuguese. The search term "age-related macular degeneration" was used to browse the web using four different search engines. The first 40 websites appearing on match lists provided by each search engine were recorded and those listed in at least three tab pages selected. The Sandvik Severity Index was used as to assess website quality. Quality of information available on selected websites was rated average (mean Sandvik Score 7.08±2.23). Most websites disseminating information about age-related macular degeneration were of average quality. The need to readjust web-based information to target lay public and promote increased understanding was emphasized.

DRUMS: a human disease related unique gene mutation search engine.

PubMed

Li, Zuofeng; Liu, Xingnan; Wen, Jingran; Xu, Ye; Zhao, Xin; Li, Xuan; Liu, Lei; Zhang, Xiaoyan

2011-10-01

With the completion of the human genome project and the development of new methods for gene variant detection, the integration of mutation data and its phenotypic consequences has become more important than ever. Among all available resources, locus-specific databases (LSDBs) curate one or more specific genes' mutation data along with high-quality phenotypes. Although some genotype-phenotype data from LSDB have been integrated into central databases little effort has been made to integrate all these data by a search engine approach. In this work, we have developed disease related unique gene mutation search engine (DRUMS), a search engine for human disease related unique gene mutation as a convenient tool for biologists or physicians to retrieve gene variant and related phenotype information. Gene variant and phenotype information were stored in a gene-centred relational database. Moreover, the relationships between mutations and diseases were indexed by the uniform resource identifier from LSDB, or another central database. By querying DRUMS, users can access the most popular mutation databases under one interface. DRUMS could be treated as a domain specific search engine. By using web crawling, indexing, and searching technologies, it provides a competitively efficient interface for searching and retrieving mutation data and their relationships to diseases. The present system is freely accessible at http://www.scbit.org/glif/new/drums/index.html. © 2011 Wiley-Liss, Inc.

Agreement between Medline searches using the Medline-CD-Rom and Internet Pubmed, BioMedNet, Medscape and Gateway search-engines.

PubMed

Caro-Rojas, Rosa Angela; Eslava-Schmalbach, Javier H

2005-01-01

To compare the information obtained from the Medline database using Internet commercial search engines with that obtained from a compact disc (Medline-CD). An agreement study was carried out based on 101 clinical scenarios provided by specialists in internal medicine, pharmacy, gynaecology-obstetrics, surgery and paediatrics. 175 search strategies were employed using the connector AND plus text within quotation marks. The search was limited to 1991-1999. Internet search-engines were selected by common criteria. Identical search strategies were independently applied to and masked from Internet search engines, as well as the Medline-CD. 3,488 articles were obtained using 129 search strategies. Agreement with the Medline-CD was 54% for PubMed, 57% for Gateway, 54% for Medscape and 65% for BioMedNet. The highest agreement rate for a given speciality (paediatrics) was 78.1% for BioMedNet, having greater -/- than +/+ agreement. Even though free access to Medline has encouraged the boom and growth of evidence-based medicine, these results must be considered within the context of which search engine was selected for doing the searches. The Internet search engines studied showed a poor agreement with the Medline-CD, the rate of agreement differing according to speciality, thus significantly affecting searches and their reproducibility. Software designed for conducting Medline database searches, including the Medline-CD, must be standardised and validated.

A web search on environmental topics: what is the role of ranking?

PubMed

Covolo, Loredana; Filisetti, Barbara; Mascaretti, Silvia; Limina, Rosa Maria; Gelatti, Umberto

2013-12-01

Although the Internet is easy to use, the mechanisms and logic behind a Web search are often unknown. Reliable information can be obtained, but it may not be visible as the Web site is not located in the first positions of search results. The possible risks of adverse health effects arising from environmental hazards are issues of increasing public interest, and therefore the information about these risks, particularly on topics for which there is no scientific evidence, is very crucial. The aim of this study was to investigate whether the presentation of information on some environmental health topics differed among various search engines, assuming that the most reliable information should come from institutional Web sites. Five search engines were used: Google, Yahoo!, Bing, Ask, and AOL. The following topics were searched in combination with the word "health": "nuclear energy," "electromagnetic waves," "air pollution," "waste," and "radon." For each topic three key words were used. The first 30 search results for each query were considered. The ranking variability among the search engines and the type of search results were analyzed for each topic and for each key word. The ranking of institutional Web sites was given particular consideration. Variable results were obtained when surfing the Internet on different environmental health topics. Multivariate logistic regression analysis showed that, when searching for radon and air pollution topics, it is more likely to find institutional Web sites in the first 10 positions compared with nuclear power (odds ratio=3.4, 95% confidence interval 2.1-5.4 and odds ratio=2.9, 95% confidence interval 1.8-4.7, respectively) and also when using Google compared with Bing (odds ratio=3.1, 95% confidence interval 1.9-5.1). The increasing use of online information could play an important role in forming opinions. Web users should become more aware of the importance of finding reliable information, and health institutions should be able to make that information more visible.

Pharmaceutical company internet sites as sources of information about antidepressant medications.

PubMed

Graber, Mark A; Weckmann, Michelle

2002-01-01

To determine the informational content of nine pharmaceutical company websites about the antidepressant medication marketed by the company. A structured, explicit review of materials found on pharmaceutical company websites about nine antidepressants for which no generic drug is available was conducted using eight popular search engines. The accessibility of these websites was also determined using these search engines. Of 72 searches (one for each drug using each search engine), 46 yielded the pharmaceutical company website within the top 10 links. When outliers were removed, the company website was found in the top 10 links for 45 of 56 searches. All of the websites contain information of an advertising and emotive nature. Of the nine company websites, three contain anecdotal information; only two mention electroconvulsive therapy and four mention other types of drug therapy; and only one mentions the tradenames of other drugs. None of the websites mention drug costs, only one has efficacy statistics for the company's drug and, although all of the websites mention at least one adverse effect of the company's drug, only one lists percentages for adverse effects. The information about drugs for treating depression on pharmaceutical company websites aimed at consumers is limited and makes it difficult for consumers to compare drugs.

The Web: Can We Make It Easier To Find Information?

ERIC Educational Resources Information Center

Maddux, Cleborne D.

1999-01-01

Reviews problems with the World Wide Web that can be attributed to human error or ineptitude, and provides suggestions for improvement. Discusses poor Web design, poor use of search engines, and poor quality control by search engines and directories. (AEF)

Concept Mapping Your Web Searches: A Design Rationale and Web-Enabled Application

ERIC Educational Resources Information Center

Lee, Y.-J.

2004-01-01

Although it has become very common to use World Wide Web-based information in many educational settings, there has been little research on how to better search and organize Web-based information. This paper discusses the shortcomings of Web search engines and Web browsers as learning environments and describes an alternative Web search environment…

Clinician search behaviors may be influenced by search engine design.

PubMed

Lau, Annie Y S; Coiera, Enrico; Zrimec, Tatjana; Compton, Paul

2010-06-30

Searching the Web for documents using information retrieval systems plays an important part in clinicians' practice of evidence-based medicine. While much research focuses on the design of methods to retrieve documents, there has been little examination of the way different search engine capabilities influence clinician search behaviors. Previous studies have shown that use of task-based search engines allows for faster searches with no loss of decision accuracy compared with resource-based engines. We hypothesized that changes in search behaviors may explain these differences. In all, 75 clinicians (44 doctors and 31 clinical nurse consultants) were randomized to use either a resource-based or a task-based version of a clinical information retrieval system to answer questions about 8 clinical scenarios in a controlled setting in a university computer laboratory. Clinicians using the resource-based system could select 1 of 6 resources, such as PubMed; clinicians using the task-based system could select 1 of 6 clinical tasks, such as diagnosis. Clinicians in both systems could reformulate search queries. System logs unobtrusively capturing clinicians' interactions with the systems were coded and analyzed for clinicians' search actions and query reformulation strategies. The most frequent search action of clinicians using the resource-based system was to explore a new resource with the same query, that is, these clinicians exhibited a "breadth-first" search behaviour. Of 1398 search actions, clinicians using the resource-based system conducted 401 (28.7%, 95% confidence interval [CI] 26.37-31.11) in this way. In contrast, the majority of clinicians using the task-based system exhibited a "depth-first" search behavior in which they reformulated query keywords while keeping to the same task profiles. Of 585 search actions conducted by clinicians using the task-based system, 379 (64.8%, 95% CI 60.83-68.55) were conducted in this way. This study provides evidence that different search engine designs are associated with different user search behaviors.

Socio-Psycho-Linguistic Determined Expert-Search System (SPLDESS) Development with Multimedia Illustration Elements

NASA Astrophysics Data System (ADS)

Ponomarev, Vasily

SPLDESS development with the elements of a multimedia illustration of traditional hypertext search results by Internet search engine provides research of information propagation innovative effect during the public access information-recruiting networks of information kiosks formation at the experimental stage with the mirrors at the constantly updating portal for Internet users. Author of this publication put the emphasis on a condition of pertinent search engine results of the total answer by the user inquiries, that provide the politically correct and not usurping socially-network data mining effect at urgent monitoring. Development of the access by devices of the new communication types with the newest technologies of data transmission, multimedia and an information exchange from the first innovation line usage support portal is presented also (including the device of social-psycho-linguistic determination according the author's conception).

Automatic sorting of toxicological information into the IUCLID (International Uniform Chemical Information Database) endpoint-categories making use of the semantic search engine Go3R.

PubMed

Sauer, Ursula G; Wächter, Thomas; Hareng, Lars; Wareing, Britta; Langsch, Angelika; Zschunke, Matthias; Alvers, Michael R; Landsiedel, Robert

2014-06-01

The knowledge-based search engine Go3R, www.Go3R.org, has been developed to assist scientists from industry and regulatory authorities in collecting comprehensive toxicological information with a special focus on identifying available alternatives to animal testing. The semantic search paradigm of Go3R makes use of expert knowledge on 3Rs methods and regulatory toxicology, laid down in the ontology, a network of concepts, terms, and synonyms, to recognize the contents of documents. Search results are automatically sorted into a dynamic table of contents presented alongside the list of documents retrieved. This table of contents allows the user to quickly filter the set of documents by topics of interest. Documents containing hazard information are automatically assigned to a user interface following the endpoint-specific IUCLID5 categorization scheme required, e.g. for REACH registration dossiers. For this purpose, complex endpoint-specific search queries were compiled and integrated into the search engine (based upon a gold standard of 310 references that had been assigned manually to the different endpoint categories). Go3R sorts 87% of the references concordantly into the respective IUCLID5 categories. Currently, Go3R searches in the 22 million documents available in the PubMed and TOXNET databases. However, it can be customized to search in other databases including in-house databanks. Copyright © 2013 Elsevier Ltd. All rights reserved.

Using the Internet in Career Education. Practice Application Brief No. 1.

ERIC Educational Resources Information Center

Wagner, Judith O.

The World Wide Web has a wealth of information on career planning, individual jobs, and job search methods that counselors and teachers can use. Search engines such as Yahoo! and Magellan, organized like library tools, and engines such as AltaVista and HotBot search words or phrases. Web indexes offer a variety of features. The criteria for…

[Quality of health information about epilepsy on the Internet: Evaluation of French websites].

PubMed

Auvin, S; Dupont, S

2013-03-01

The Internet is now the single largest source of health information and is used by many patients who are affected by epilepsy and their families. To assess the quality of information provided by French website on the different forms of epilepsy and their treatment, we used search engines (French pages from Bing, Google and Yahoo) to look for information using the French equivalent of three keywords epilepsy (Épilepsie); epilepsy treatment (Épilepsie traitement) and seizure (Convulsions). The websites were evaluated for content quality by using an adaptation of the validated DISCERN rating instrument. Each website was evaluated by three investigators (a naive observer, a pediatric neurologist and a neurologist). Most of the information on epilepsy and its treatment were from community websites. We found six French websites which were scored higher than half of the maximal value of our scoring system (≥27.5/55): www.passeportsante.net; fr.wikipedia.org; www.fondation-epilepsie.fr; www.epilepsie-france.fr; www.doctissimo.fr; www.caducee.net. This study provides a list of French websites that have been evaluated for the quality of their information. We did not observe any correlation between the quality of the information and priority on search engine listings. Websites sponsored by patients associations and by institutions should update their content more frequently or work on their search engine indexation to appear higher on search engine listings. Copyright © 2012. Published by Elsevier Masson SAS.

Seeking Health Information Online: Does Wikipedia Matter?

PubMed Central

Laurent, Michaël R.; Vickers, Tim J.

2009-01-01

Objective To determine the significance of the English Wikipedia as a source of online health information. Design The authors measured Wikipedia's ranking on general Internet search engines by entering keywords from MedlinePlus, NHS Direct Online, and the National Organization of Rare Diseases as queries into search engine optimization software. We assessed whether article quality influenced this ranking. The authors tested whether traffic to Wikipedia coincided with epidemiological trends and news of emerging health concerns, and how it compares to MedlinePlus. Measurements Cumulative incidence and average position of Wikipedia® compared to other Web sites among the first 20 results on general Internet search engines (Google®, Google UK®, Yahoo®, and MSN®), and page view statistics for selected Wikipedia articles and MedlinePlus pages. Results Wikipedia ranked among the first ten results in 71–85% of search engines and keywords tested. Wikipedia surpassed MedlinePlus and NHS Direct Online (except for queries from the latter on Google UK), and ranked higher with quality articles. Wikipedia ranked highest for rare diseases, although its incidence in several categories decreased. Page views increased parallel to the occurrence of 20 seasonal disorders and news of three emerging health concerns. Wikipedia articles were viewed more often than MedlinePlus Topic (p = 0.001) but for MedlinePlus Encyclopedia pages, the trend was not significant (p = 0.07–0.10). Conclusions Based on its search engine ranking and page view statistics, the English Wikipedia is a prominent source of online health information compared to the other online health information providers studied. PMID:19390105

Combining Search Engines for Comparative Proteomics

PubMed Central

Tabb, David

2012-01-01

Many proteomics laboratories have found spectral counting to be an ideal way to recognize biomarkers that differentiate cohorts of samples. This approach assumes that proteins that differ in quantity between samples will generate different numbers of identifiable tandem mass spectra. Increasingly, researchers are employing multiple search engines to maximize the identifications generated from data collections. This talk evaluates four strategies to combine information from multiple search engines in comparative proteomics. The “Count Sum” model pools the spectra across search engines. The “Vote Counting” model combines the judgments from each search engine by protein. Two other models employ parametric and non-parametric analyses of protein-specific p-values from different search engines. We evaluated the four strategies in two different data sets. The ABRF iPRG 2009 study generated five LC-MS/MS analyses of “red” E. coli and five analyses of “yellow” E. coli. NCI CPTAC Study 6 generated five concentrations of Sigma UPS1 spiked into a yeast background. All data were identified with X!Tandem, Sequest, MyriMatch, and TagRecon. For both sample types, “Vote Counting” appeared to manage the diverse identification sets most effectively, yielding heightened discrimination as more search engines were added.

Suicide and the Internet: Changes in the accessibility of suicide-related information between 2007 and 2014.

PubMed

Biddle, Lucy; Derges, Jane; Mars, Becky; Heron, Jon; Donovan, Jenny L; Potokar, John; Piper, Martyn; Wyllie, Clare; Gunnell, David

2016-01-15

Following the ongoing concerns about cyber-suicide, we investigate changes between 2007 and 2014 in material likely to be accessed by suicidal individuals searching for methods of suicide. 12 search terms relating to suicide methods were applied to four search engines and the top ten hits from each were categorised and analysed for content. The frequency of each category of site across all searches, using particular search terms and engines, was counted. Key changes: growth of blogs and discussion forums (from 3% of hits, 2007 to 18.5% of hits, 2014); increase in hits linking to general information sites - especially factual sites that detail and evaluate suicide methods (from 9%, 2007 to 21.7%, 2014). Hits for dedicated suicide sites increased (from 19% to 23%), while formal help sites were less visible (from 13% to 6.5%). Overall, 54% of hits contained information about new high-lethality methods. We did not search for help sites so cannot assess the balance of suicide promoting versus preventing sites available online. Social media was beyond the scope of this study. Working with ISPs and search engines would help optimise support sites. Better site moderation and implementation of suicide reporting guidelines should be encouraged. Copyright © 2015 Elsevier B.V. All rights reserved.

Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers.

PubMed

Hultman, Gretchen; McEwan, Reed; Pakhomov, Serguei; Lindemann, Elizabeth; Skube, Steven; Melton, Genevieve B

2017-01-01

NLP-PIER (Natural Language Processing - Patient Information Extraction for Research) is a self-service platform with a search engine for clinical researchers to perform natural language processing (NLP) queries using clinical notes. We conducted user-centered testing of NLP-PIER's usability to inform future design decisions. Quantitative and qualitative data were analyzed. Our findings will be used to improve the usability of NLP-PIER.

Modern Techniques for Searching the Chemical Literature.

ERIC Educational Resources Information Center

Holm, Bart E.

The chemists' information needs are for current awareness, selective dissemination, and retrospective search services, of research, development, engineering, production, and marketing information located internally or externally, and contained in journals, patents, theses, reports, data files, information services, and from people. This paper is…

Roogle: an information retrieval engine for clinical data warehouse.

PubMed

Cuggia, Marc; Garcelon, Nicolas; Campillo-Gimenez, Boris; Bernicot, Thomas; Laurent, Jean-François; Garin, Etienne; Happe, André; Duvauferrier, Régis

2011-01-01

High amount of relevant information is contained in reports stored in the electronic patient records and associated metadata. R-oogle is a project aiming at developing information retrieval engines adapted to these reports and designed for clinicians. The system consists in a data warehouse (full-text reports and structured data) imported from two different hospital information systems. Information retrieval is performed using metadata-based semantic and full-text search methods (as Google). Applications may be biomarkers identification in a translational approach, search of specific cases, and constitution of cohorts, professional practice evaluation, and quality control assessment.

Document Clustering Approach for Meta Search Engine

NASA Astrophysics Data System (ADS)

Kumar, Naresh, Dr.

2017-08-01

The size of WWW is growing exponentially with ever change in technology. This results in huge amount of information with long list of URLs. Manually it is not possible to visit each page individually. So, if the page ranking algorithms are used properly then user search space can be restricted up to some pages of searched results. But available literatures show that no single search system can provide qualitative results from all the domains. This paper provides solution to this problem by introducing a new meta search engine that determine the relevancy of query corresponding to web page and cluster the results accordingly. The proposed approach reduces the user efforts, improves the quality of results and performance of the meta search engine.

Qualitative assessment of online information about age-related macular degeneration available in Portuguese

PubMed Central

Agi, Jorge; Kasahara, Niro; Lottenberg, Claudio Luiz

2018-01-01

ABSTRACT Objective: To evaluate the quality of online information on age-related macular degeneration available in Portuguese. Methods: The search term “age-related macular degeneration” was used to browse the web using four different search engines. The first 40 websites appearing on match lists provided by each search engine were recorded and those listed in at least three tab pages selected. The Sandvik Severity Index was used as to assess website quality. Results: Quality of information available on selected websites was rated average (mean Sandvik Score 7.08±2.23). Conclusion: Most websites disseminating information about age-related macular degeneration were of average quality. The need to readjust web-based information to target lay public and promote increased understanding was emphasized. PMID:29898089

Making "E" Visible: To Draw Patrons Past the Googles of the World, We Need to Revolutionize How Electronic Resources Are Promoted

ERIC Educational Resources Information Center

Williams, Lesley

2006-01-01

In a survey of a representative sample of over 3300 online information consumers and their information-seeking behavior, survey findings indicate that 84 percent of information searches begin with a search engine. Library web sites were selected by just one percent of respondents as the source used to begin an information search and 72 percent had…

Moving beyond a Google Search: Google Earth, SketchUp, Spreadsheet, and More

ERIC Educational Resources Information Center

Siegle, Del

2007-01-01

Google has been the search engine of choice for most Web surfers for the past half decade. More recently, the creative founders of the popular search engine have been busily creating and testing a variety of useful products that will appeal to gifted learners of varying ages. The purpose of this paper is to share information about three of these…

Real-time earthquake monitoring using a search engine method.

PubMed

Zhang, Jie; Zhang, Haijiang; Chen, Enhong; Zheng, Yi; Kuang, Wenhuan; Zhang, Xiong

2014-12-04

When an earthquake occurs, seismologists want to use recorded seismograms to infer its location, magnitude and source-focal mechanism as quickly as possible. If such information could be determined immediately, timely evacuations and emergency actions could be undertaken to mitigate earthquake damage. Current advanced methods can report the initial location and magnitude of an earthquake within a few seconds, but estimating the source-focal mechanism may require minutes to hours. Here we present an earthquake search engine, similar to a web search engine, that we developed by applying a computer fast search method to a large seismogram database to find waveforms that best fit the input data. Our method is several thousand times faster than an exact search. For an Mw 5.9 earthquake on 8 March 2012 in Xinjiang, China, the search engine can infer the earthquake's parameters in <1 s after receiving the long-period surface wave data.

Real-time earthquake monitoring using a search engine method

PubMed Central

Zhang, Jie; Zhang, Haijiang; Chen, Enhong; Zheng, Yi; Kuang, Wenhuan; Zhang, Xiong

2014-01-01

When an earthquake occurs, seismologists want to use recorded seismograms to infer its location, magnitude and source-focal mechanism as quickly as possible. If such information could be determined immediately, timely evacuations and emergency actions could be undertaken to mitigate earthquake damage. Current advanced methods can report the initial location and magnitude of an earthquake within a few seconds, but estimating the source-focal mechanism may require minutes to hours. Here we present an earthquake search engine, similar to a web search engine, that we developed by applying a computer fast search method to a large seismogram database to find waveforms that best fit the input data. Our method is several thousand times faster than an exact search. For an Mw 5.9 earthquake on 8 March 2012 in Xinjiang, China, the search engine can infer the earthquake’s parameters in <1 s after receiving the long-period surface wave data. PMID:25472861

The role of Social Media and internet search engines in information provision and dissemination to patients with Kidney Stone Disease (KSD): A systematic review from EAU Young Academic Urologists (YAU).

PubMed

Jamnadass, Enakshee; Aboumarzouk, Omar; Kallidonis, Panagiotis; Emiliani, Esteban; Tailly, Thomas; Hruby, Stephan; Sanguedolce, Francesco; Atis, Gokhan; Özsoy, Mehmet; Greco, Francesco; Somani, Bhaskar K

2018-06-21

Kidney stone disease (KSD) affects millions of people worldwide and has an increasing incidence. Social media (SoMe) and search engines are both gaining in usage, whilst also being used by patients to research their conditions and aid in managing them. With this in mind, many authors have expressed the belief that SoMe and search engines can be used by patients and healthcare professionals to improve treatment compliance, and to help counselling and management of conditions such as KSD. We wanted to determine whether SoMe and search engines play a role in the management and/or prevention of KSD. The databases MEDLINE, Embase, CINAHL, Scopus and Cochrane Library were used to search for relevant English language literature from inception to December 2017. Results were screened by title, abstract, and then full text, according to the inclusion and exclusion criteria. The data was then analysed independently by the authors not involved in the original study. After initial identification of 2137 records and screening of 42 articles, 10 studies met the inclusion and exclusion criteria. The papers included focused on a variety of SoMe forms including two papers each on twitter, YouTube, smartphone apps and google search engine and one paper on google insights and google analytics. Regarding patient centered advice, while 2 papers covered advice on dietary, fluid intake and management options, two additional papers each covered advice on fluid advice and management options only, while no such advice was given by 3 of the SoMe published papers. SoMe and search engines provide valuable information to patients with kidney stone disease. However, whilst the information provided regarding dietary aspects and fluid management was good, it was not comprehensive enough to include advice on other aspects of KSD prevention.

Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.

PubMed

Hanauer, David A; Wu, Danny T Y; Yang, Lei; Mei, Qiaozhu; Murkowski-Steffy, Katherine B; Vydiswaran, V G Vinod; Zheng, Kai

2017-03-01

The utility of biomedical information retrieval environments can be severely limited when users lack expertise in constructing effective search queries. To address this issue, we developed a computer-based query recommendation algorithm that suggests semantically interchangeable terms based on an initial user-entered query. In this study, we assessed the value of this approach, which has broad applicability in biomedical information retrieval, by demonstrating its application as part of a search engine that facilitates retrieval of information from electronic health records (EHRs). The query recommendation algorithm utilizes MetaMap to identify medical concepts from search queries and indexed EHR documents. Synonym variants from UMLS are used to expand the concepts along with a synonym set curated from historical EHR search logs. The empirical study involved 33 clinicians and staff who evaluated the system through a set of simulated EHR search tasks. User acceptance was assessed using the widely used technology acceptance model. The search engine's performance was rated consistently higher with the query recommendation feature turned on vs. off. The relevance of computer-recommended search terms was also rated high, and in most cases the participants had not thought of these terms on their own. The questions on perceived usefulness and perceived ease of use received overwhelmingly positive responses. A vast majority of the participants wanted the query recommendation feature to be available to assist in their day-to-day EHR search tasks. Challenges persist for users to construct effective search queries when retrieving information from biomedical documents including those from EHRs. This study demonstrates that semantically-based query recommendation is a viable solution to addressing this challenge. Published by Elsevier Inc.

What Can Pictures Tell Us About Web Pages? Improving Document Search Using Images.

PubMed

Rodriguez-Vaamonde, Sergio; Torresani, Lorenzo; Fitzgibbon, Andrew W

2015-06-01

Traditional Web search engines do not use the images in the HTML pages to find relevant documents for a given query. Instead, they typically operate by computing a measure of agreement between the keywords provided by the user and only the text portion of each page. In this paper we study whether the content of the pictures appearing in a Web page can be used to enrich the semantic description of an HTML document and consequently boost the performance of a keyword-based search engine. We present a Web-scalable system that exploits a pure text-based search engine to find an initial set of candidate documents for a given query. Then, the candidate set is reranked using visual information extracted from the images contained in the pages. The resulting system retains the computational efficiency of traditional text-based search engines with only a small additional storage cost needed to encode the visual information. We test our approach on one of the TREC Million Query Track benchmarks where we show that the exploitation of visual content yields improvement in accuracies for two distinct text-based search engines, including the system with the best reported performance on this benchmark. We further validate our approach by collecting document relevance judgements on our search results using Amazon Mechanical Turk. The results of this experiment confirm the improvement in accuracy produced by our image-based reranker over a pure text-based system.

Does the Internet provide patients or clinicians with useful information regarding faecal incontinence? An observational study.

PubMed

Leo, C A; Murphy, J; Hodgkinson, J D; Vaizey, C J; Maeda, Y

2018-01-01

The Internet has become an important platform for information communication. This study aim to investigate the utility of social media and search engines to disseminate faecal incontinence information. We looked into Social media platforms and search engines. There was not a direct patient recruitment and any available information from patients was already on public domain at the time of search. A quantitative analysis of types and volumes of information regarding faecal incontinence was made. Twelve valid pages were identified on Facebook: 5 (41%) pages were advertising commercial incontinence products, 4 (33%) pages were dedicated to patients support groups and 3 (25%) pages provided healthcare information. Also we found 192 Facebook posts. On Twitter, 2890 tweets were found of which 51% tweets provided healthcare information; 675 (45%) were sent by healthcare professionals to patients, 530 tweets (35.3%) were between healthcare professionals, 201 tweets (13.4%) were from medical journals or scientific books and 103 tweets (7%) were from hospitals or clinics with information about events and meetings. The second commonest type of tweets was advertising commercial incontinence products 27%. Patients tweeted to exchange information and advice between themselves (20.5%). In contrast, search engines as Google/Yahoo/Bing had a higher proportion of healthcare information (over 70%). Internet appears to have potential to be a useful platform for patients to learn about faecal incontinence and share information; however, given one lack of focus of available data, patients may struggle to identify valid and useful information.

The Development of Information Search Expertise of Research Students

ERIC Educational Resources Information Center

Kai-Wah Chu, Samuel; Law, Nancy

2008-01-01

This study identifies the development of information search expertise of 12 beginning research students (six in education and six in engineering) who were provided with a set of systematic search training sessions over a period of one year. The study adopts a longitudinal approach in investigating whether there were different stages in the…

Millennial Undergraduate Research Strategies in Web and Library Information Retrieval Systems

ERIC Educational Resources Information Center

Porter, Brandi

2011-01-01

This article summarizes the author's dissertation regarding search strategies of millennial undergraduate students in Web and library online information retrieval systems. Millennials bring a unique set of search characteristics and strategies to their research since they have never known a world without the Web. Through the use of search engines,…

Research Trends with Cross Tabulation Search Engine

ERIC Educational Resources Information Center

Yin, Chengjiu; Hirokawa, Sachio; Yau, Jane Yin-Kim; Hashimoto, Kiyota; Tabata, Yoshiyuki; Nakatoh, Tetsuya

2013-01-01

To help researchers in building a knowledge foundation of their research fields which could be a time-consuming process, the authors have developed a Cross Tabulation Search Engine (CTSE). Its purpose is to assist researchers in 1) conducting research surveys, 2) efficiently and effectively retrieving information (such as important researchers,…

New Quality Metrics for Web Search Results

NASA Astrophysics Data System (ADS)

Metaxas, Panagiotis Takis; Ivanova, Lilia; Mustafaraj, Eni

Web search results enjoy an increasing importance in our daily lives. But what can be said about their quality, especially when querying a controversial issue? The traditional information retrieval metrics of precision and recall do not provide much insight in the case of web information retrieval. In this paper we examine new ways of evaluating quality in search results: coverage and independence. We give examples on how these new metrics can be calculated and what their values reveal regarding the two major search engines, Google and Yahoo. We have found evidence of low coverage for commercial and medical controversial queries, and high coverage for a political query that is highly contested. Given the fact that search engines are unwilling to tune their search results manually, except in a few cases that have become the source of bad publicity, low coverage and independence reveal the efforts of dedicated groups to manipulate the search results.

Search without Boundaries Using Simple APIs

ERIC Educational Resources Information Center

Tong, Qi (Helen)

2009-01-01

The U.S. Geological Survey (USGS) Library, where the author serves as the digital services librarian, is increasingly challenged to make it easier for users to find information from many heterogeneous information sources. Information is scattered throughout different software applications (i.e., library catalog, federated search engine, link…

Cochlear implantation: An assessment of quality and readability of web-based information aimed at patients.

PubMed

Seymour, Nicky; Lakhani, Raj; Hartley, Benjamin; Cochrane, Lesley; Jephson, Christopher

2015-01-01

Patients should have access to high-quality health information websites on which to base their decision-making. There are concerns regarding the accuracy and quality of some health websites. We aimed to objectively measure website quality related to cochlear implantation. Selected patient-information websites were scored, depending on how highly they ranked on search engines and if they were ranked on more than one of the search engines used. The top 40 websites from three major search engines were analysed. The quality of each website was scored using the DISCERN tool and the readability was scored using the Flesch-Kincaid reading ease and the Gunning-Fog index. The average Flesch-Kincaid score was 49.7, giving an average reading age of a 15-17 years old, and the average Gunning-fog score was 13.1, which equals that of an 18 years old. Internet-based information regarding cochlear implantation is of varied quality and is written above the expected reading level of an average person.

Online Information 96. Proceedings of the International Online Information Meeting (20th, London, England, UK, December 3-5, 1996).

ERIC Educational Resources Information Center

Raitt, David I., Ed.; Jeapes, Ben, Ed.

This proceedings volume contains 68 papers. Subjects addressed include: access to information; the future of information managers/librarians; intelligent agents; changing roles of library users; disintermediation; Internet review sites; World Wide Web (WWW) search engines; Java; online searching; future of online education; integrated information…

Evaluation of Quality and Readability of Health Information Websites Identified through India's Major Search Engines.

PubMed

Raj, S; Sharma, V L; Singh, A J; Goel, S

2016-01-01

Background. The available health information on websites should be reliable and accurate in order to make informed decisions by community. This study was done to assess the quality and readability of health information websites on World Wide Web in India. Methods. This cross-sectional study was carried out in June 2014. The key words "Health" and "Information" were used on search engines "Google" and "Yahoo." Out of 50 websites (25 from each search engines), after exclusion, 32 websites were evaluated. LIDA tool was used to assess the quality whereas the readability was assessed using Flesch Reading Ease Score (FRES), Flesch-Kincaid Grade Level (FKGL), and SMOG. Results. Forty percent of websites (n = 13) were sponsored by government. Health On the Net Code of Conduct (HONcode) certification was present on 50% (n = 16) of websites. The mean LIDA score (74.31) was average. Only 3 websites scored high on LIDA score. Only five had readability scores at recommended sixth-grade level. Conclusion. Most health information websites had average quality especially in terms of usability and reliability and were written at high readability levels. Efforts are needed to develop the health information websites which can help general population in informed decision making.

Complex dynamics of our economic life on different scales: insights from search engine query data.

PubMed

Preis, Tobias; Reith, Daniel; Stanley, H Eugene

2010-12-28

Search engine query data deliver insight into the behaviour of individuals who are the smallest possible scale of our economic life. Individuals are submitting several hundred million search engine queries around the world each day. We study weekly search volume data for various search terms from 2004 to 2010 that are offered by the search engine Google for scientific use, providing information about our economic life on an aggregated collective level. We ask the question whether there is a link between search volume data and financial market fluctuations on a weekly time scale. Both collective 'swarm intelligence' of Internet users and the group of financial market participants can be regarded as a complex system of many interacting subunits that react quickly to external changes. We find clear evidence that weekly transaction volumes of S&P 500 companies are correlated with weekly search volume of corresponding company names. Furthermore, we apply a recently introduced method for quantifying complex correlations in time series with which we find a clear tendency that search volume time series and transaction volume time series show recurring patterns.

Evidence-based Medicine Search: a customizable federated search engine.

PubMed

Bracke, Paul J; Howse, David K; Keim, Samuel M

2008-04-01

This paper reports on the development of a tool by the Arizona Health Sciences Library (AHSL) for searching clinical evidence that can be customized for different user groups. The AHSL provides services to the University of Arizona's (UA's) health sciences programs and to the University Medical Center. Librarians at AHSL collaborated with UA College of Medicine faculty to create an innovative search engine, Evidence-based Medicine (EBM) Search, that provides users with a simple search interface to EBM resources and presents results organized according to an evidence pyramid. EBM Search was developed with a web-based configuration component that allows the tool to be customized for different specialties. Informal and anecdotal feedback from physicians indicates that EBM Search is a useful tool with potential in teaching evidence-based decision making. While formal evaluation is still being planned, a tool such as EBM Search, which can be configured for specific user populations, may help lower barriers to information resources in an academic health sciences center.

Evidence-based Medicine Search: a customizable federated search engine

PubMed Central

Bracke, Paul J.; Howse, David K.; Keim, Samuel M.

2008-01-01

Purpose: This paper reports on the development of a tool by the Arizona Health Sciences Library (AHSL) for searching clinical evidence that can be customized for different user groups. Brief Description: The AHSL provides services to the University of Arizona's (UA's) health sciences programs and to the University Medical Center. Librarians at AHSL collaborated with UA College of Medicine faculty to create an innovative search engine, Evidence-based Medicine (EBM) Search, that provides users with a simple search interface to EBM resources and presents results organized according to an evidence pyramid. EBM Search was developed with a web-based configuration component that allows the tool to be customized for different specialties. Outcomes/Conclusion: Informal and anecdotal feedback from physicians indicates that EBM Search is a useful tool with potential in teaching evidence-based decision making. While formal evaluation is still being planned, a tool such as EBM Search, which can be configured for specific user populations, may help lower barriers to information resources in an academic health sciences center. PMID:18379665

A method for the design and development of medical or health care information websites to optimize search engine results page rankings on Google.

PubMed

Dunne, Suzanne; Cummins, Niamh Maria; Hannigan, Ailish; Shannon, Bill; Dunne, Colum; Cullen, Walter

2013-08-27

The Internet is a widely used source of information for patients searching for medical/health care information. While many studies have assessed existing medical/health care information on the Internet, relatively few have examined methods for design and delivery of such websites, particularly those aimed at the general public. This study describes a method of evaluating material for new medical/health care websites, or for assessing those already in existence, which is correlated with higher rankings on Google's Search Engine Results Pages (SERPs). A website quality assessment (WQA) tool was developed using criteria related to the quality of the information to be contained in the website in addition to an assessment of the readability of the text. This was retrospectively applied to assess existing websites that provide information about generic medicines. The reproducibility of the WQA tool and its predictive validity were assessed in this study. The WQA tool demonstrated very high reproducibility (intraclass correlation coefficient=0.95) between 2 independent users. A moderate to strong correlation was found between WQA scores and rankings on Google SERPs. Analogous correlations were seen between rankings and readability of websites as determined by Flesch Reading Ease and Flesch-Kincaid Grade Level scores. The use of the WQA tool developed in this study is recommended as part of the design phase of a medical or health care information provision website, along with assessment of readability of the material to be used. This may ensure that the website performs better on Google searches. The tool can also be used retrospectively to make improvements to existing websites, thus, potentially enabling better Google search result positions without incurring the costs associated with Search Engine Optimization (SEO) professionals or paid promotion.

A Web Search on Environmental Topics: What Is the Role of Ranking?

PubMed Central

Filisetti, Barbara; Mascaretti, Silvia; Limina, Rosa Maria; Gelatti, Umberto

2013-01-01

Abstract Background: Although the Internet is easy to use, the mechanisms and logic behind a Web search are often unknown. Reliable information can be obtained, but it may not be visible as the Web site is not located in the first positions of search results. The possible risks of adverse health effects arising from environmental hazards are issues of increasing public interest, and therefore the information about these risks, particularly on topics for which there is no scientific evidence, is very crucial. The aim of this study was to investigate whether the presentation of information on some environmental health topics differed among various search engines, assuming that the most reliable information should come from institutional Web sites. Materials and Methods: Five search engines were used: Google, Yahoo!, Bing, Ask, and AOL. The following topics were searched in combination with the word “health”: “nuclear energy,” “electromagnetic waves,” “air pollution,” “waste,” and “radon.” For each topic three key words were used. The first 30 search results for each query were considered. The ranking variability among the search engines and the type of search results were analyzed for each topic and for each key word. The ranking of institutional Web sites was given particular consideration. Results: Variable results were obtained when surfing the Internet on different environmental health topics. Multivariate logistic regression analysis showed that, when searching for radon and air pollution topics, it is more likely to find institutional Web sites in the first 10 positions compared with nuclear power (odds ratio=3.4, 95% confidence interval 2.1–5.4 and odds ratio=2.9, 95% confidence interval 1.8–4.7, respectively) and also when using Google compared with Bing (odds ratio=3.1, 95% confidence interval 1.9–5.1). Conclusions: The increasing use of online information could play an important role in forming opinions. Web users should become more aware of the importance of finding reliable information, and health institutions should be able to make that information more visible. PMID:24083368

9th Annual Systems Engineering Conference: Volume 4 Thursday

DTIC Science & Technology

2006-10-26

Connectivity, Speed, Volume • Enterprise application integration • Workflow integration or multi-media • Federated search capability • Link analysis and...categorization, federated search & automated discovery of information — Collaborative tools to quickly share relevant information Built on commercial

Effects of Brief Integrated Information Literacy Education Sessions on Undergraduate Engineering Students' Interdisciplinary Research

ERIC Educational Resources Information Center

Talikka, Marja; Soukka, Risto; Eskelinen, Harri

2018-01-01

Engineering students often conduct information searches without sufficient consideration of the context of their research topic. This article discusses how development of a new information literacy (IL) mindset through instruction in integrated IL education affects students' understanding of research problems and formulation of information search…

Internet Power Searching: The Advanced Manual. 2nd Edition. Neal-Schuman NetGuide Series.

ERIC Educational Resources Information Center

Bradley, Phil

This handbook provides information on how Internet search engines and related software and utilities work and how to use them in order to improve search techniques. The book begins with an introduction to the Internet. Part 1 contains the following chapters that cover mining the Internet for information: "An Introduction to Search…

Autonomous entropy-based intelligent experimental design

NASA Astrophysics Data System (ADS)

Malakar, Nabin Kumar

2011-07-01

The aim of this thesis is to explore the application of probability and information theory in experimental design, and to do so in a way that combines what we know about inference and inquiry in a comprehensive and consistent manner. Present day scientific frontiers involve data collection at an ever-increasing rate. This requires that we find a way to collect the most relevant data in an automated fashion. By following the logic of the scientific method, we couple an inference engine with an inquiry engine to automate the iterative process of scientific learning. The inference engine involves Bayesian machine learning techniques to estimate model parameters based upon both prior information and previously collected data, while the inquiry engine implements data-driven exploration. By choosing an experiment whose distribution of expected results has the maximum entropy, the inquiry engine selects the experiment that maximizes the expected information gain. The coupled inference and inquiry engines constitute an autonomous learning method for scientific exploration. We apply it to a robotic arm to demonstrate the efficacy of the method. Optimizing inquiry involves searching for an experiment that promises, on average, to be maximally informative. If the set of potential experiments is described by many parameters, the search involves a high-dimensional entropy space. In such cases, a brute force search method will be slow and computationally expensive. We develop an entropy-based search algorithm, called nested entropy sampling, to select the most informative experiment. This helps to reduce the number of computations necessary to find the optimal experiment. We also extended the method of maximizing entropy, and developed a method of maximizing joint entropy so that it could be used as a principle of collaboration between two robots. This is a major achievement of this thesis, as it allows the information-based collaboration between two robotic units towards a same goal in an automated fashion.

How do Consumers Search for and Appraise Information on Medicines on the Internet? A Qualitative Study Using Focus Groups

PubMed Central

Aslani, Parisa; Williams, Kylie A

2003-01-01

Background Many consumers use the Internet to find information about their medicines. It is widely acknowledged that health information on the Internet is of variable quality and therefore the search and appraisal skills of consumers are important for selecting and assessing this information. The way consumers choose and evaluate information on medicines on the Internet is important because it has been shown that written information on medicines can influence consumer attitudes to and use of medicines. Objective To explore consumer experiences in searching for and appraising Internet-based information on medicines. Methods Six focus groups (N = 46 participants) were conducted in metropolitan Sydney, Australia from March to May 2003 with consumers who had used the Internet for information on medicines. Verbatim transcripts of the group discussions were analyzed using a grounded theory approach. Results All participants reported using a search engine to find information on medicines. Choice of search engine was determined by factors such as the workplace or educational environments, or suggestions by family or friends. Some participants found information solely by typing the medicine name (drug or brand name) into the search engine, while others searched using broader terms. Search skills ranged widely from more-advanced (using quotation marks and phrases) to less-than-optimal (such as typing in questions and full sentences). Many participants selected information from the first page of search results by looking for keywords and descriptions in the search results, and by looking for the source of the information as apparent in the URL. Opinions on credible sources of information on medicines varied with some participants regarding information by pharmaceutical companies as the "official" information on a medicine, and others preferring what they considered to be impartial sources such as governments, organizations, and educational institutions. It was clear that although most participants were skeptical of trusting information on the Internet, they had not paid conscious attention to how they selected information on medicines. Despite this, it was evident that participants viewed the Internet as an important source for information on medicines. Conclusions The results showed that there was a range of search and appraisal skills among participants, with many reporting a limited awareness of how they found and evaluated Internet-based information on medicines. Poor interpretation of written information on medicines has been shown to lead to anxiety and poor compliance to therapy. This issue is more important for Internet-based information since it is not subject to quality control and standardization as is written information on medicines. Therefore, there is a need for promoting consumer search and appraisal skills when using this information. Educating consumers in how to find and interpret Internet-based information on medicines may help them use their medicines in a safer and more-effective way. PMID:14713661

Publicizing Your Web Resources for Maximum Exposure.

ERIC Educational Resources Information Center

Smith, Kerry J.

2001-01-01

Offers advice to librarians for marketing their Web sites on Internet search engines. Advises against relying solely on spiders and recommends adding metadata to the source code and delivering that information directly to the search engines. Gives an overview of metadata and typical coding for meta tags. Includes Web addresses for a number of…

Digging Deeper: The Deep Web.

ERIC Educational Resources Information Center

Turner, Laura

2001-01-01

Focuses on the Deep Web, defined as Web content in searchable databases of the type that can be found only by direct query. Discusses the problems of indexing; inability to find information not indexed in the search engine's database; and metasearch engines. Describes 10 sites created to access online databases or directly search them. Lists ways…

Are Health Videos from Hospitals, Health Organizations, and Active Users Available to Health Consumers? An Analysis of Diabetes Health Video Ranking in YouTube

PubMed Central

Borras-Morell, Jose-Enrique; Martinez-Millana, Antonio; Karlsen, Randi

2017-01-01

Health consumers are increasingly using the Internet to search for health information. The existence of overloaded, inaccurate, obsolete, or simply incorrect health information available on the Internet is a serious obstacle for finding relevant and good-quality data that actually helps patients. Search engines of multimedia Internet platforms are thought to help users to find relevant information according to their search. But, is the information recovered by those search engines from quality sources? Is the health information uploaded from reliable sources, such as hospitals and health organizations, easily available to patients? The availability of videos is directly related to the ranking position in YouTube search. The higher the ranking of the information is, the more accessible it is. The aim of this study is to analyze the ranking evolution of diabetes health videos on YouTube in order to discover how videos from reliable channels, such as hospitals and health organizations, are evolving in the ranking. The analysis was done by tracking the ranking of 2372 videos on a daily basis during a 30-day period using 20 diabetes-related queries. Our conclusions are that the current YouTube algorithm favors the presence of reliable videos in upper rank positions in diabetes-related searches. PMID:28243314

Are Health Videos from Hospitals, Health Organizations, and Active Users Available to Health Consumers? An Analysis of Diabetes Health Video Ranking in YouTube.

PubMed

Fernandez-Llatas, Carlos; Traver, Vicente; Borras-Morell, Jose-Enrique; Martinez-Millana, Antonio; Karlsen, Randi

2017-01-01

Health consumers are increasingly using the Internet to search for health information. The existence of overloaded, inaccurate, obsolete, or simply incorrect health information available on the Internet is a serious obstacle for finding relevant and good-quality data that actually helps patients. Search engines of multimedia Internet platforms are thought to help users to find relevant information according to their search. But, is the information recovered by those search engines from quality sources? Is the health information uploaded from reliable sources, such as hospitals and health organizations, easily available to patients? The availability of videos is directly related to the ranking position in YouTube search. The higher the ranking of the information is, the more accessible it is. The aim of this study is to analyze the ranking evolution of diabetes health videos on YouTube in order to discover how videos from reliable channels, such as hospitals and health organizations, are evolving in the ranking. The analysis was done by tracking the ranking of 2372 videos on a daily basis during a 30-day period using 20 diabetes-related queries. Our conclusions are that the current YouTube algorithm favors the presence of reliable videos in upper rank positions in diabetes-related searches.

Characterizing Internet Searchers of Smoking Cessation Information

PubMed Central

Graham, Amanda L

2006-01-01

Background The Internet is a viable channel to deliver evidence-based smoking cessation treatment that has the potential to make a large population impact on reducing smoking prevalence. There is high demand for smoking cessation information and support on the Internet. Approximately 7% (10.2 million) of adult American Internet users have searched for information on quitting smoking. Little is known about these individuals, their smoking status, what type of cessation services they are seeking on the Internet, or how frequently these searches for cessation information are conducted. Objective The primary goal of this study was to characterize individuals who search for smoking cessation information on the Internet to determine appropriate triage and treatment strategies. The secondary goal was to estimate the incidence of searches for cessation information using publicly available search engine data. Methods We recruited individuals who clicked on a link to a leading smoking cessation website (QuitNet) from within the results of a search engine query. Individuals were “intercepted” before seeing the QuitNet home page and were invited to participate in the study. Those accepting the invitation were routed to an online survey about demographics, smoking characteristics, preferences for specific cessation services, and Internet search patterns. To determine the generalizability of our sample, national datasets on search engine usage patterns, market share, and keyword rankings were examined. These datasets were then used to estimate the number of queries for smoking cessation information each year. Results During the 10-day study period, 2265 individuals were recruited and 29% (N = 655) responded. Of these, 59% were female and overall tended to be younger than the previously characterized general Internet population. Most (76%) respondents were current smokers; 17% had quit within the last 7 days, and 7% had quit more than 7 days ago. Slightly more than half of active smokers (53%) indicated that they were planning to quit in the next 30 days. Smokers were more likely to seek information on how to quit and on medications; former smokers were more interested in how to cope with withdrawal. All participants rated withdrawal information and individually tailored information as being more useful, while displaying little interest in telephone counseling, expert support, or peer support. Publicly available data from large search engines suggest that 4 million Americans search for resources on smoking cessation each year. Conclusions This study adds to the limited data available on individuals who search for smoking cessation information on the Internet, supports the prior estimates of the size of the population, and indicates that these individuals are in appropriate stages for both active cessation interventions and aggressive relapse prevention efforts. Continued development and evaluation of online interventions is warranted, and organizations seeking to promote cessation should carefully evaluate the Internet as a possible modality for treatment and as a gateway to other traditional programs. PMID:17032633

Strategies for Information Retrieval and Virtual Teaming to Mitigate Risk on NASA's Missions

NASA Technical Reports Server (NTRS)

Topousis, Daria; Williams, Gregory; Murphy, Keri

2007-01-01

Following the loss of NASA's Space Shuttle Columbia in 2003, it was determined that problems in the agency's organization created an environment that led to the accident. One component of the proposed solution resulted in the formation of the NASA Engineering Network (NEN), a suite of information retrieval and knowledge sharing tools. This paper describes the implementation of this set of search, portal, content management, and semantic technologies, including a unique meta search capability for data from distributed engineering resources. NEN's communities of practice are formed along engineering disciplines where users leverage their knowledge and best practices to collaborate and take informal learning back to their personal jobs and embed it into the procedures of the agency. These results offer insight into using traditional engineering disciplines for virtual teaming and problem solving.

Web information retrieval based on ontology

NASA Astrophysics Data System (ADS)

Zhang, Jian

2013-03-01

The purpose of the Information Retrieval (IR) is to find a set of documents that are relevant for a specific information need of a user. Traditional Information Retrieval model commonly used in commercial search engine is based on keyword indexing system and Boolean logic queries. One big drawback of traditional information retrieval is that they typically retrieve information without an explicitly defined domain of interest to the users so that a lot of no relevance information returns to users, which burden the user to pick up useful answer from these no relevance results. In order to tackle this issue, many semantic web information retrieval models have been proposed recently. The main advantage of Semantic Web is to enhance search mechanisms with the use of Ontology's mechanisms. In this paper, we present our approach to personalize web search engine based on ontology. In addition, key techniques are also discussed in our paper. Compared to previous research, our works concentrate on the semantic similarity and the whole process including query submission and information annotation.

Peeling the Onion: Okapi System Architecture and Software Design Issues.

ERIC Educational Resources Information Center

Jones, S.; And Others

1997-01-01

Discusses software design issues for Okapi, an information retrieval system that incorporates both search engine and user interface and supports weighted searching, relevance feedback, and query expansion. The basic search system, adjacency searching, and moving toward a distributed system are discussed. (Author/LRW)

Essie: A Concept-based Search Engine for Structured Biomedical Text

PubMed Central

Ide, Nicholas C.; Loane, Russell F.; Demner-Fushman, Dina

2007-01-01

This article describes the algorithms implemented in the Essie search engine that is currently serving several Web sites at the National Library of Medicine. Essie is a phrase-based search engine with term and concept query expansion and probabilistic relevancy ranking. Essie’s design is motivated by an observation that query terms are often conceptually related to terms in a document, without actually occurring in the document text. Essie’s performance was evaluated using data and standard evaluation methods from the 2003 and 2006 Text REtrieval Conference (TREC) Genomics track. Essie was the best-performing search engine in the 2003 TREC Genomics track and achieved results comparable to those of the highest-ranking systems on the 2006 TREC Genomics track task. Essie shows that a judicious combination of exploiting document structure, phrase searching, and concept based query expansion is a useful approach for information retrieval in the biomedical domain. PMID:17329729

Preliminary comparison of the Essie and PubMed search engines for answering clinical questions using MD on Tap, a PDA-based program for accessing biomedical literature.

PubMed

Sutton, Victoria R; Hauser, Susan E

2005-01-01

MD on Tap, a PDA application that searches and retrieves biomedical literature, is specifically designed for use by mobile healthcare professionals. With the goal of improving the usability of the application, a preliminary comparison was made of two search engines (PubMed and Essie) to determine which provided most efficient path to the desired clinically-relevant information.

iPixel: a visual content-based and semantic search engine for retrieving digitized mammograms by using collective intelligence.

PubMed

Alor-Hernández, Giner; Pérez-Gallardo, Yuliana; Posada-Gómez, Rubén; Cortes-Robles, Guillermo; Rodríguez-González, Alejandro; Aguilar-Laserre, Alberto A

2012-09-01

Nowadays, traditional search engines such as Google, Yahoo and Bing facilitate the retrieval of information in the format of images, but the results are not always useful for the users. This is mainly due to two problems: (1) the semantic keywords are not taken into consideration and (2) it is not always possible to establish a query using the image features. This issue has been covered in different domains in order to develop content-based image retrieval (CBIR) systems. The expert community has focussed their attention on the healthcare domain, where a lot of visual information for medical analysis is available. This paper provides a solution called iPixel Visual Search Engine, which involves semantics and content issues in order to search for digitized mammograms. iPixel offers the possibility of retrieving mammogram features using collective intelligence and implementing a CBIR algorithm. Our proposal compares not only features with similar semantic meaning, but also visual features. In this sense, the comparisons are made in different ways: by the number of regions per image, by maximum and minimum size of regions per image and by average intensity level of each region. iPixel Visual Search Engine supports the medical community in differential diagnoses related to the diseases of the breast. The iPixel Visual Search Engine has been validated by experts in the healthcare domain, such as radiologists, in addition to experts in digital image analysis.

Usability evaluation of an experimental text summarization system and three search engines: implications for the reengineering of health care interfaces.

PubMed

Kushniruk, Andre W; Kan, Min-Yem; McKeown, Kathleen; Klavans, Judith; Jordan, Desmond; LaFlamme, Mark; Patel, Vimia L

2002-01-01

This paper describes the comparative evaluation of an experimental automated text summarization system, Centrifuser and three conventional search engines - Google, Yahoo and About.com. Centrifuser provides information to patients and families relevant to their questions about specific health conditions. It then produces a multidocument summary of articles retrieved by a standard search engine, tailored to the user's question. Subjects, consisting of friends or family of hospitalized patients, were asked to "think aloud" as they interacted with the four systems. The evaluation involved audio- and video recording of subject interactions with the interfaces in situ at a hospital. Results of the evaluation show that subjects found Centrifuser's summarization capability useful and easy to understand. In comparing Centrifuser to the three search engines, subjects' ratings varied; however, specific interface features were deemed useful across interfaces. We conclude with a discussion of the implications for engineering Web-based retrieval systems.

Towards Identifying and Reducing the Bias of Disease Information Extracted from Search Engine Data

PubMed Central

Huang, Da-Cang; Wang, Jin-Feng; Huang, Ji-Xia; Sui, Daniel Z.; Zhang, Hong-Yan; Hu, Mao-Gui; Xu, Cheng-Dong

2016-01-01

The estimation of disease prevalence in online search engine data (e.g., Google Flu Trends (GFT)) has received a considerable amount of scholarly and public attention in recent years. While the utility of search engine data for disease surveillance has been demonstrated, the scientific community still seeks ways to identify and reduce biases that are embedded in search engine data. The primary goal of this study is to explore new ways of improving the accuracy of disease prevalence estimations by combining traditional disease data with search engine data. A novel method, Biased Sentinel Hospital-based Area Disease Estimation (B-SHADE), is introduced to reduce search engine data bias from a geographical perspective. To monitor search trends on Hand, Foot and Mouth Disease (HFMD) in Guangdong Province, China, we tested our approach by selecting 11 keywords from the Baidu index platform, a Chinese big data analyst similar to GFT. The correlation between the number of real cases and the composite index was 0.8. After decomposing the composite index at the city level, we found that only 10 cities presented a correlation of close to 0.8 or higher. These cities were found to be more stable with respect to search volume, and they were selected as sample cities in order to estimate the search volume of the entire province. After the estimation, the correlation improved from 0.8 to 0.864. After fitting the revised search volume with historical cases, the mean absolute error was 11.19% lower than it was when the original search volume and historical cases were combined. To our knowledge, this is the first study to reduce search engine data bias levels through the use of rigorous spatial sampling strategies. PMID:27271698

Towards Identifying and Reducing the Bias of Disease Information Extracted from Search Engine Data.

PubMed

Huang, Da-Cang; Wang, Jin-Feng; Huang, Ji-Xia; Sui, Daniel Z; Zhang, Hong-Yan; Hu, Mao-Gui; Xu, Cheng-Dong

2016-06-01

The estimation of disease prevalence in online search engine data (e.g., Google Flu Trends (GFT)) has received a considerable amount of scholarly and public attention in recent years. While the utility of search engine data for disease surveillance has been demonstrated, the scientific community still seeks ways to identify and reduce biases that are embedded in search engine data. The primary goal of this study is to explore new ways of improving the accuracy of disease prevalence estimations by combining traditional disease data with search engine data. A novel method, Biased Sentinel Hospital-based Area Disease Estimation (B-SHADE), is introduced to reduce search engine data bias from a geographical perspective. To monitor search trends on Hand, Foot and Mouth Disease (HFMD) in Guangdong Province, China, we tested our approach by selecting 11 keywords from the Baidu index platform, a Chinese big data analyst similar to GFT. The correlation between the number of real cases and the composite index was 0.8. After decomposing the composite index at the city level, we found that only 10 cities presented a correlation of close to 0.8 or higher. These cities were found to be more stable with respect to search volume, and they were selected as sample cities in order to estimate the search volume of the entire province. After the estimation, the correlation improved from 0.8 to 0.864. After fitting the revised search volume with historical cases, the mean absolute error was 11.19% lower than it was when the original search volume and historical cases were combined. To our knowledge, this is the first study to reduce search engine data bias levels through the use of rigorous spatial sampling strategies.

Buckets: Smart Objects for Digital Libraries

NASA Technical Reports Server (NTRS)

Nelson, Michael L.

2001-01-01

Current discussion of digital libraries (DLs) is often dominated by the merits of the respective storage, search and retrieval functionality of archives, repositories, search engines, search interfaces and database systems. While these technologies are necessary for information management, the information content is more important than the systems used for its storage and retrieval. Digital information should have the same long-term survivability prospects as traditional hardcopy information and should be protected to the extent possible from evolving search engine technologies and vendor vagaries in database management systems. Information content and information retrieval systems should progress on independent paths and make limited assumptions about the status or capabilities of the other. Digital information can achieve independence from archives and DL systems through the use of buckets. Buckets are an aggregative, intelligent construct for publishing in DLs. Buckets allow the decoupling of information content from information storage and retrieval. Buckets exist within the Smart Objects and Dumb Archives model for DLs in that many of the functionalities and responsibilities traditionally associated with archives are pushed down (making the archives dumber) into the buckets (making them smarter). Some of the responsibilities imbued to buckets are the enforcement of their terms and conditions, and maintenance and display of their contents.

Where to search top-K biomedical ontologies?

PubMed

Oliveira, Daniela; Butt, Anila Sahar; Haller, Armin; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh

2018-03-20

Searching for precise terms and terminological definitions in the biomedical data space is problematic, as researchers find overlapping, closely related and even equivalent concepts in a single or multiple ontologies. Search engines that retrieve ontological resources often suggest an extensive list of search results for a given input term, which leads to the tedious task of selecting the best-fit ontological resource (class or property) for the input term and reduces user confidence in the retrieval engines. A systematic evaluation of these search engines is necessary to understand their strengths and weaknesses in different search requirements. We have implemented seven comparable Information Retrieval ranking algorithms to search through ontologies and compared them against four search engines for ontologies. Free-text queries have been performed, the outcomes have been judged by experts and the ranking algorithms and search engines have been evaluated against the expert-based ground truth (GT). In addition, we propose a probabilistic GT that is developed automatically to provide deeper insights and confidence to the expert-based GT as well as evaluating a broader range of search queries. The main outcome of this work is the identification of key search factors for biomedical ontologies together with search requirements and a set of recommendations that will help biomedical experts and ontology engineers to select the best-suited retrieval mechanism in their search scenarios. We expect that this evaluation will allow researchers and practitioners to apply the current search techniques more reliably and that it will help them to select the right solution for their daily work. The source code (of seven ranking algorithms), ground truths and experimental results are available at https://github.com/danielapoliveira/bioont-search-benchmark.

Optimizing Online Suicide Prevention: A Search Engine-Based Tailored Approach.

PubMed

Arendt, Florian; Scherr, Sebastian

2017-11-01

Search engines are increasingly used to seek suicide-related information online, which can serve both harmful and helpful purposes. Google acknowledges this fact and presents a suicide-prevention result for particular search terms. Unfortunately, the result is only presented to a limited number of visitors. Hence, Google is missing the opportunity to provide help to vulnerable people. We propose a two-step approach to a tailored optimization: First, research will identify the risk factors. Second, search engines will reweight algorithms according to the risk factors. In this study, we show that the query share of the search term "poisoning" on Google shows substantial peaks corresponding to peaks in actual suicidal behavior. Accordingly, thresholds for showing the suicide-prevention result should be set to the lowest levels during the spring, on Sundays and Mondays, on New Year's Day, and on Saturdays following Thanksgiving. Search engines can help to save lives globally by utilizing a more tailored approach to suicide prevention.

Practical and Efficient Searching in Proteomics: A Cross Engine Comparison

PubMed Central

Paulo, Joao A.

2014-01-01

Background Analysis of large datasets produced by mass spectrometry-based proteomics relies on database search algorithms to sequence peptides and identify proteins. Several such scoring methods are available, each based on different statistical foundations and thereby not producing identical results. Here, the aim is to compare peptide and protein identifications using multiple search engines and examine the additional proteins gained by increasing the number of technical replicate analyses. Methods A HeLa whole cell lysate was analyzed on an Orbitrap mass spectrometer for 10 technical replicates. The data were combined and searched using Mascot, SEQUEST, and Andromeda. Comparisons were made of peptide and protein identifications among the search engines. In addition, searches using each engine were performed with incrementing number of technical replicates. Results The number and identity of peptides and proteins differed across search engines. For all three search engines, the differences in proteins identifications were greater than the differences in peptide identifications indicating that the major source of the disparity may be at the protein inference grouping level. The data also revealed that analysis of 2 technical replicates can increase protein identifications by up to 10-15%, while a third replicate results in an additional 4-5%. Conclusions The data emphasize two practical methods of increasing the robustness of mass spectrometry data analysis. The data show that 1) using multiple search engines can expand the number of identified proteins (union) and validate protein identifications (intersection), and 2) analysis of 2 or 3 technical replicates can substantially expand protein identifications. Moreover, information can be extracted from a dataset by performing database searching with different engines and performing technical repeats, which requires no additional sample preparation and effectively utilizes research time and effort. PMID:25346847

Practical and Efficient Searching in Proteomics: A Cross Engine Comparison.

PubMed

Paulo, Joao A

2013-10-01

Analysis of large datasets produced by mass spectrometry-based proteomics relies on database search algorithms to sequence peptides and identify proteins. Several such scoring methods are available, each based on different statistical foundations and thereby not producing identical results. Here, the aim is to compare peptide and protein identifications using multiple search engines and examine the additional proteins gained by increasing the number of technical replicate analyses. A HeLa whole cell lysate was analyzed on an Orbitrap mass spectrometer for 10 technical replicates. The data were combined and searched using Mascot, SEQUEST, and Andromeda. Comparisons were made of peptide and protein identifications among the search engines. In addition, searches using each engine were performed with incrementing number of technical replicates. The number and identity of peptides and proteins differed across search engines. For all three search engines, the differences in proteins identifications were greater than the differences in peptide identifications indicating that the major source of the disparity may be at the protein inference grouping level. The data also revealed that analysis of 2 technical replicates can increase protein identifications by up to 10-15%, while a third replicate results in an additional 4-5%. The data emphasize two practical methods of increasing the robustness of mass spectrometry data analysis. The data show that 1) using multiple search engines can expand the number of identified proteins (union) and validate protein identifications (intersection), and 2) analysis of 2 or 3 technical replicates can substantially expand protein identifications. Moreover, information can be extracted from a dataset by performing database searching with different engines and performing technical repeats, which requires no additional sample preparation and effectively utilizes research time and effort.

A Search Engine That's Aware of Your Needs

NASA Technical Reports Server (NTRS)

2005-01-01

Internet research can be compared to trying to drink from a firehose. Such a wealth of information is available that even the simplest inquiry can sometimes generate tens of thousands of leads, more information than most people can handle, and more burdensome than most can endure. Like everyone else, NASA scientists rely on the Internet as a primary search tool. Unlike the average user, though, NASA scientists perform some pretty sophisticated, involved research. To help manage the Internet and to allow researchers at NASA to gain better, more efficient access to the wealth of information, the Agency needed a search tool that was more refined and intelligent than the typical search engine. Partnership NASA funded Stottler Henke, Inc., of San Mateo, California, a cutting-edge software company, with a Small Business Innovation Research (SBIR) contract to develop the Aware software for searching through the vast stores of knowledge quickly and efficiently. The partnership was through NASA s Ames Research Center.

Detection and Monitoring of Improvised Explosive Device Education Networks through the World Wide Web

DTIC Science & Technology

2009-06-01

search engines are not up to this task, as they have been optimized to catalog information quickly and efficiently for user ease of access while promoting retail commerce at the same time. This thesis presents a performance analysis of a new search engine algorithm designed to help find IED education networks using the Nutch open-source search engine architecture. It reveals which web pages are more important via references from other web pages regardless of domain. In addition, this thesis discusses potential evaluation and monitoring techniques to be used in conjunction

Web Spam, Social Propaganda and the Evolution of Search Engine Rankings

NASA Astrophysics Data System (ADS)

Metaxas, Panagiotis Takis

Search Engines have greatly influenced the way we experience the web. Since the early days of the web, users have been relying on them to get informed and make decisions. When the web was relatively small, web directories were built and maintained using human experts to screen and categorize pages according to their characteristics. By the mid 1990's, however, it was apparent that the human expert model of categorizing web pages does not scale. The first search engines appeared and they have been evolving ever since, taking over the role that web directories used to play.

Discovery in a World of Mashups

NASA Astrophysics Data System (ADS)

King, T. A.; Ritschel, B.; Hourcle, J. A.; Moon, I. S.

2014-12-01

When the first digital information was stored electronically, discovery of what existed was through file names and the organization of the file system. With the advent of networks, digital information was shared on a wider scale, but discovery remained based on file and folder names. With a growing number of information sources, named based discovery quickly became ineffective. The keyword based search engine was one of the first types of a mashup in the world of Web 1.0. Embedded links from one document to another with prescribed relationships between files and the world of Web 2.0 was formed. Search engines like Google used the links to improve search results and a worldwide mashup was formed. While a vast improvement, the need for semantic (meaning rich) discovery was clear, especially for the discovery of scientific data. In response, every science discipline defined schemas to describe their type of data. Some core schemas where shared, but most schemas are custom tailored even though they share many common concepts. As with the networking of information sources, science increasingly relies on data from multiple disciplines. So there is a need to bring together multiple sources of semantically rich information. We explore how harvesting, conceptual mapping, facet based search engines, search term promotion, and style sheets can be combined to create the next generation of mashups in the emerging world of Web 3.0. We use NASA's Planetary Data System and NASA's Heliophysics Data Environment to illustrate how to create a multi-discipline mash-up.

Googling NDIS: Evaluating the Quality of Online Information about the National Disability Insurance Scheme for Caregivers of Deaf Children

ERIC Educational Resources Information Center

Simpson, Andrea; Baldwin, Elizabeth Margaret

2017-01-01

This study sought to analyze and evaluate the accessibility, availability and quality of online information regarding the National Disability Insurance Scheme (NDIS) and hearing loss. The most common search engine keyword terms a caregiver may enter when conducting a web search was determined using a keyword search tool. The top websites linked…

Progressively Fostering Students' Chemical Information Skills in a Three-Year Chemical Engineering Program in France

ERIC Educational Resources Information Center

Gozzi, Christel; Arnoux, Marie-Jose´; Breuzard, Jere´my; Marchal, Claire; Nikitine, Clémence; Renaudat, Alice; Toulgoat, Fabien

2016-01-01

Literature searches are essential for scientists. Thus, courses on how to do a good literature search have been integrated in studies at CPE Lyon for many years. Recently, we modified our pedagogical approach in order to initiate students progressively in the search for chemical information. In addition, this new teaching organization is now based…

Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS.

PubMed

De-Arteaga, Maria; Eggel, Ivan; Do, Bao; Rubin, Daniel; Kahn, Charles E; Müller, Henning

2015-08-01

Information search has changed the way we manage knowledge and the ubiquity of information access has made search a frequent activity, whether via Internet search engines or increasingly via mobile devices. Medical information search is in this respect no different and much research has been devoted to analyzing the way in which physicians aim to access information. Medical image search is a much smaller domain but has gained much attention as it has different characteristics than search for text documents. While web search log files have been analysed many times to better understand user behaviour, the log files of hospital internal systems for search in a PACS/RIS (Picture Archival and Communication System, Radiology Information System) have rarely been analysed. Such a comparison between a hospital PACS/RIS search and a web system for searching images of the biomedical literature is the goal of this paper. Objectives are to identify similarities and differences in search behaviour of the two systems, which could then be used to optimize existing systems and build new search engines. Log files of the ARRS GoldMiner medical image search engine (freely accessible on the Internet) containing 222,005 queries, and log files of Stanford's internal PACS/RIS search called radTF containing 18,068 queries were analysed. Each query was preprocessed and all query terms were mapped to the RadLex (Radiology Lexicon) terminology, a comprehensive lexicon of radiology terms created and maintained by the Radiological Society of North America, so the semantic content in the queries and the links between terms could be analysed, and synonyms for the same concept could be detected. RadLex was mainly created for the use in radiology reports, to aid structured reporting and the preparation of educational material (Lanlotz, 2006) [1]. In standard medical vocabularies such as MeSH (Medical Subject Headings) and UMLS (Unified Medical Language System) specific terms of radiology are often underrepresented, therefore RadLex was considered to be the best option for this task. The results show a surprising similarity between the usage behaviour in the two systems, but several subtle differences can also be noted. The average number of terms per query is 2.21 for GoldMiner and 2.07 for radTF, the used axes of RadLex (anatomy, pathology, findings, …) have almost the same distribution with clinical findings being the most frequent and the anatomical entity the second; also, combinations of RadLex axes are extremely similar between the two systems. Differences include a longer length of the sessions in radTF than in GoldMiner (3.4 and 1.9 queries per session on average). Several frequent search terms overlap but some strong differences exist in the details. In radTF the term "normal" is frequent, whereas in GoldMiner it is not. This makes intuitive sense, as in the literature normal cases are rarely described whereas in clinical work the comparison with normal cases is often a first step. The general similarity in many points is likely due to the fact that users of the two systems are influenced by their daily behaviour in using standard web search engines and follow this behaviour in their professional search. This means that many results and insights gained from standard web search can likely be transferred to more specialized search systems. Still, specialized log files can be used to find out more on reformulations and detailed strategies of users to find the right content. Copyright © 2015 Elsevier Inc. All rights reserved.

Directing the public to evidence-based online content.

PubMed

Cooper, Crystale Purvis; Gelb, Cynthia A; Vaughn, Alexandra N; Smuland, Jenny; Hughes, Alexandra G; Hawkins, Nikki A

2015-04-01

To direct online users searching for gynecologic cancer information to accurate content, the Centers for Disease Control and Prevention's (CDC) 'Inside Knowledge: Get the Facts About Gynecologic Cancer' campaign sponsored search engine advertisements in English and Spanish. From June 2012 to August 2013, advertisements appeared when US Google users entered search terms related to gynecologic cancer. Users who clicked on the advertisements were directed to relevant content on the CDC website. Compared with the 3 months before the initiative (March-May 2012), visits to the CDC web pages linked to the advertisements were 26 times higher after the initiative began (June-August 2012) (p<0.01), and 65 times higher when the search engine advertisements were supplemented with promotion on television and additional websites (September 2012-August 2013) (p<0.01). Search engine advertisements can direct users to evidence-based content at a highly teachable moment--when they are seeking relevant information. © The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Competitive Intelligence on the Internet-Going for the Gold.

ERIC Educational Resources Information Center

Kassler, Helene

2000-01-01

Discussion of competitive intelligence (CI) focuses on recent Web sties and several search techniques that provide valuable CI information. Highlights include links that display business relationships; information from vendors; general business sites; search engine strategies; local business newspapers; job postings; patent and trademark…

Public hospital quality report awareness: evidence from National and Californian Internet searches and social media mentions, 2012.

PubMed

Huesch, Marco D; Currid-Halkett, Elizabeth; Doctor, Jason N

2014-03-11

Publicly available hospital quality reports seek to inform consumers of important healthcare quality and affordability attributes, and may inform consumer decision-making. To understand how much consumers search for such information online on one Internet search engine, whether they mention such information in social media and how positively they view this information. A leading Internet search engine (Google) was the main focus of the study. Google Trends and Google Adwords keyword analyses were performed for national and Californian searches between 1 August 2012 and 31 July 2013 for keywords related to 'top hospital', best hospital', and 'hospital quality', as well as for six specific hospital quality reports. Separately, a proprietary social media monitoring tool was used to investigate blog, forum, social media and traditional media mentions of, and sentiment towards, major public reports of hospital quality in California in 2012. (1) Counts of searches for keywords performed on Google; (2) counts of and (3) sentiment of mentions of public reports on social media. National Google search volume for 75 hospital quality-related terms averaged 610 700 searches per month with strong variation by keyword and by state. A commercial report (Healthgrades) was more commonly searched for nationally on Google than the federal government's Hospital Compare, which otherwise dominated quality-related search terms. Social media references in California to quality reports were generally few, and commercially produced hospital quality reports were more widely mentioned than state (Office of Statewide Healthcare Planning and Development (OSHPD)), or non-profit (CalHospitalCompare) reports. Consumers are somewhat aware of hospital quality based on Internet search activity and social media disclosures. Public stakeholders may be able to broaden their quality dissemination initiatives by advertising on Google or Twitter and using social media interactively with consumers looking for relevant information.

Critical Reading of the Web

ERIC Educational Resources Information Center

Griffin, Teresa; Cohen, Deb

2012-01-01

The ubiquity and familiarity of the world wide web means that students regularly turn to it as a source of information. In doing so, they "are said to rely heavily on simple search engines, such as Google to find what they want." Researchers have also investigated how students use search engines, concluding that "the young web users tended to…

Web Search Engines: Key To Locating Information for All Users or Only the Cognoscenti?

ERIC Educational Resources Information Center

Tomaiuolo, Nicholas G.; Packer, Joan G.

This paper describes a study that attempted to ascertain the degree of success that undergraduates and graduate students, with varying levels of experience using the World Wide Web and Web search engines, and without librarian instruction or intervention, had in locating relevant material on specific topics furnished by the investigators. Because…

Automating Information Discovery Within the Invisible Web

NASA Astrophysics Data System (ADS)

Sweeney, Edwina; Curran, Kevin; Xie, Ermai

A Web crawler or spider crawls through the Web looking for pages to index, and when it locates a new page it passes the page on to an indexer. The indexer identifies links, keywords, and other content and stores these within its database. This database is searched by entering keywords through an interface and suitable Web pages are returned in a results page in the form of hyperlinks accompanied by short descriptions. The Web, however, is increasingly moving away from being a collection of documents to a multidimensional repository for sounds, images, audio, and other formats. This is leading to a situation where certain parts of the Web are invisible or hidden. The term known as the "Deep Web" has emerged to refer to the mass of information that can be accessed via the Web but cannot be indexed by conventional search engines. The concept of the Deep Web makes searches quite complex for search engines. Google states that the claim that conventional search engines cannot find such documents as PDFs, Word, PowerPoint, Excel, or any non-HTML page is not fully accurate and steps have been taken to address this problem by implementing procedures to search items such as academic publications, news, blogs, videos, books, and real-time information. However, Google still only provides access to a fraction of the Deep Web. This chapter explores the Deep Web and the current tools available in accessing it.

The quality of information on the Internet on orthodontic retainer wear: a cross-sectional study.

PubMed

Doğramacı, Esma J; Rossi-Fedele, Giampiero

2016-03-01

The objectives of this study were to assess the accessibility, usability, reliability and quality of information on the Internet written for the lay public about orthodontic retainers, and to elucidate the different retention protocols encouraged. A cross-sectional, observational study. Online, using a computer connected to the Internet in Australia. Two search terms; 'orthodontic retainer' and 'how long should someone wear a retainer after their braces are removed?' were entered alternatively into five search engines. Twenty results for each search term per search engine that fulfilled the inclusion criteria were evaluated in terms of accessibility, usability, reliability and quality of information using the LIDA and DISCERN instruments, ensuring there were no internal or cross-search engine duplicates. Any information about frequency and duration of retainer wear was also collected. Two hundred different websites were identified and assessed. The median overall LIDA score was 72%, corresponding to a moderate quality level. The median total DISCERN score was 47%. Twenty-two websites recommended patients adhere to the specific protocol prescribed to them by their practitioner. There were 45 (22.5%) and 28 (14%) websites advising indefinite use of removable and bonded retainers respectively. Information about retainers on the Internet is easily accessible and usable, though the quality of the content is generally of a moderate level. However, the information is not always accurate and reliable. Both full-time and part-time wear of removable retainers was suggested over greatly varying time periods. Indefinite wear of removable and bonded retainers was also advocated.

Preliminary comparison of the Essie and PubMed search engines for answering clinical questions using MD on Tap, a PDA-based program for accessing biomedical literature

PubMed Central

Sutton, Victoria R.; Hauser, Susan E.

2005-01-01

MD on Tap, a PDA application that searches and retrieves biomedical literature, is specifically designed for use by mobile healthcare professionals. With the goal of improving the usability of the application, a preliminary comparison was made of two search engines (PubMed and Essie) to determine which provided most efficient path to the desired clinically-relevant information. PMID:16779415

World Wide Web Search Engines: AltaVista and Yahoo.

ERIC Educational Resources Information Center

Machovec, George S., Ed.

1996-01-01

Examines the history, structure, and search capabilities of Internet search tools AltaVista and Yahoo. AltaVista provides relevance-ranked feedback on full-text searches. Yahoo indexes Web "citations" only but does organize information hierarchically into predefined categories. Yahoo has recently become a publicly held company and…

Automated Data Tagging in the HLA

NASA Astrophysics Data System (ADS)

Gaffney, N. I.; Miller, W. W.

2008-08-01

One of the more powerful and popular forms of data organization implemented in most popular information sharing web applications is data tagging. With a rich user base from which to gather and digest tags, many interesting and often unanticipated yet very useful associations are revealed. With regard to an existing information, the astronomical community has a rich pool of existing digitally stored and searchable data than any of the currently popular web community, such as You Tube or My Space, had when they started. In initial experiments with the search engine for the Hubble Legacy Archive, we have created a simple yet powerful scheme by which the information from a footprint service, the NED and SIMBAD catalog services, and the ADS abstracts and keywords can be used to initially tag data with standard keywords. By then ingesting this into a public ally available information search engine, such as Apache Lucene, one can create a simple and powerful data tag search engine and association system. By then augmenting this with user provided keys and usage pattern analysis, one can produce a powerful modern data mining system for any astronomical data warehouse.

Search and rescue in collapsed structures: engineering and social science aspects.

PubMed

El-Tawil, Sherif; Aguirre, Benigno

2010-10-01

This paper discusses the social science and engineering dimensions of search and rescue (SAR) in collapsed buildings. First, existing information is presented on factors that influence the behaviour of trapped victims, particularly human, physical, socioeconomic and circumstantial factors. Trapped victims are most often discussed in the context of structural collapse and injuries sustained. Most studies in this area focus on earthquakes as the type of disaster that produces the most extensive structural damage. Second, information is set out on the engineering aspects of urban search and rescue (USAR) in the United States, including the role of structural engineers in USAR operations, training and certification of structural specialists, and safety and general procedures. The use of computational simulation to link the engineering and social science aspects of USAR is discussed. This could supplement training of local SAR groups and USAR teams, allowing them to understand better the collapse process and how voids form in a rubble pile. A preliminary simulation tool developed for this purpose is described. © 2010 The Author(s). Journal compilation © Overseas Development Institute, 2010.

The LAILAPS search engine: a feature model for relevance ranking in life science databases.

PubMed

Lange, Matthias; Spies, Karl; Colmsee, Christian; Flemming, Steffen; Klapperstück, Matthias; Scholz, Uwe

2010-03-25

Efficient and effective information retrieval in life sciences is one of the most pressing challenge in bioinformatics. The incredible growth of life science databases to a vast network of interconnected information systems is to the same extent a big challenge and a great chance for life science research. The knowledge found in the Web, in particular in life-science databases, are a valuable major resource. In order to bring it to the scientist desktop, it is essential to have well performing search engines. Thereby, not the response time nor the number of results is important. The most crucial factor for millions of query results is the relevance ranking. In this paper, we present a feature model for relevance ranking in life science databases and its implementation in the LAILAPS search engine. Motivated by the observation of user behavior during their inspection of search engine result, we condensed a set of 9 relevance discriminating features. These features are intuitively used by scientists, who briefly screen database entries for potential relevance. The features are both sufficient to estimate the potential relevance, and efficiently quantifiable. The derivation of a relevance prediction function that computes the relevance from this features constitutes a regression problem. To solve this problem, we used artificial neural networks that have been trained with a reference set of relevant database entries for 19 protein queries. Supporting a flexible text index and a simple data import format, this concepts are implemented in the LAILAPS search engine. It can easily be used both as search engine for comprehensive integrated life science databases and for small in-house project databases. LAILAPS is publicly available for SWISSPROT data at http://lailaps.ipk-gatersleben.de.

Plain Language to Communicate Physical Activity Information: A Website Content Analysis.

PubMed

Paige, Samantha R; Black, David R; Mattson, Marifran; Coster, Daniel C; Stellefson, Michael

2018-04-01

Plain language techniques are health literacy universal precautions intended to enhance health care system navigation and health outcomes. Physical activity (PA) is a popular topic on the Internet, yet it is unknown if information is communicated in plain language. This study examined how plain language techniques are included in PA websites, and if the use of plain language techniques varies according to search procedures (keyword, search engine) and website host source (government, commercial, educational/organizational). Three keywords ("physical activity," "fitness," and "exercise") were independently entered into three search engines (Google, Bing, and Yahoo) to locate a nonprobability sample of websites ( N = 61). Fourteen plain language techniques were coded within each website to examine content formatting, clarity and conciseness, and multimedia use. Approximately half ( M = 6.59; SD = 1.68) of the plain language techniques were included in each website. Keyword physical activity resulted in websites with fewer clear and concise plain language techniques ( p < .05), whereas fitness resulted in websites with more clear and concise techniques ( p < .01). Plain language techniques did not vary by search engine or the website host source. Accessing PA information that is easy to understand and behaviorally oriented may remain a challenge for users. Transdisciplinary collaborations are needed to optimize plain language techniques while communicating online PA information.

Information Literacy Standards and the World Wide Web: Results from a Student Survey on Evaluation of Internet Information Sources

ERIC Educational Resources Information Center

Taylor, Arthur; Dalal, Heather A.

2014-01-01

Introduction: This paper aims to determine how appropriate information literacy instruction is for preparing students for these unmediated searches using commercial search engines and the Web. Method. A survey was designed using the 2000 Association of College and Research Libraries literacy competency standards for higher education. Survey…

An end user evaluation of query formulation and results review tools in three medical meta-search engines.

PubMed

Leroy, Gondy; Xu, Jennifer; Chung, Wingyan; Eggers, Shauna; Chen, Hsinchun

2007-01-01

Retrieving sufficient relevant information online is difficult for many people because they use too few keywords to search and search engines do not provide many support tools. To further complicate the search, users often ignore support tools when available. Our goal is to evaluate in a realistic setting when users use support tools and how they perceive these tools. We compared three medical search engines with support tools that require more or less effort from users to form a query and evaluate results. We carried out an end user study with 23 users who were asked to find information, i.e., subtopics and supporting abstracts, for a given theme. We used a balanced within-subjects design and report on the effectiveness, efficiency and usability of the support tools from the end user perspective. We found significant differences in efficiency but did not find significant differences in effectiveness between the three search engines. Dynamic user support tools requiring less effort led to higher efficiency. Fewer searches were needed and more documents were found per search when both query reformulation and result review tools dynamically adjust to the user query. The query reformulation tool that provided a long list of keywords, dynamically adjusted to the user query, was used most often and led to more subtopics. As hypothesized, the dynamic result review tools were used more often and led to more subtopics than static ones. These results were corroborated by the usability questionnaires, which showed that support tools that dynamically optimize output were preferred.

Searching for suicide-related information on Chinese websites.

PubMed

Chen, Ying-Yeh; Hung, Galen Chin-Lun; Cheng, Qijin; Tsai, Chi-Wei; Wu, Kevin Chien-Chang

2017-12-01

Growing concerns about cyber-suicide have prompted many studies on suicide information available on the web. However, very few studies have considered non-English websites. We aimed to analyze online suicide-related information accessed through Chinese-language websites. We used Taiwan's two most popular search engines (Google and Yahoo) to explore the results returned from six suicide-related search terms in March 2016. The first three pages listing the results from each search were analyzed and rated based on the attitude towards suicide (pro-suicide, anti-suicide, neutral/mixed, not a suicide site, or error). Comparisons across different search terms were also performed. In all, 375 linked webpages were included; 16.3% of the webpages were pro-suicide and 41.3% were anti-suicide. The majority of the pro-suicide sites were user-generated webpages (96.7%). Searches using the keywords 'ways to kill yourself' (31.7%) and 'painless suicide' (28.3%) generated much larger numbers of harmful webpages than the term 'suicide' (4.3%). We conclude that collaborative efforts with internet service providers and search engines to improve the ranking of anti-suicide webpages and websites and implement online suicide reporting guidelines are highly encouraged. Copyright © 2017 Elsevier B.V. All rights reserved.

Evaluation of Quality and Readability of Health Information Websites Identified through India's Major Search Engines

PubMed Central

Raj, S.; Sharma, V. L.; Singh, A. J.; Goel, S.

2016-01-01

Background. The available health information on websites should be reliable and accurate in order to make informed decisions by community. This study was done to assess the quality and readability of health information websites on World Wide Web in India. Methods. This cross-sectional study was carried out in June 2014. The key words “Health” and “Information” were used on search engines “Google” and “Yahoo.” Out of 50 websites (25 from each search engines), after exclusion, 32 websites were evaluated. LIDA tool was used to assess the quality whereas the readability was assessed using Flesch Reading Ease Score (FRES), Flesch-Kincaid Grade Level (FKGL), and SMOG. Results. Forty percent of websites (n = 13) were sponsored by government. Health On the Net Code of Conduct (HONcode) certification was present on 50% (n = 16) of websites. The mean LIDA score (74.31) was average. Only 3 websites scored high on LIDA score. Only five had readability scores at recommended sixth-grade level. Conclusion. Most health information websites had average quality especially in terms of usability and reliability and were written at high readability levels. Efforts are needed to develop the health information websites which can help general population in informed decision making. PMID:27119025

Side effects of radiotherapy in breast cancer patients : The Internet as an information source.

PubMed

Janssen, S; Käsmann, L; Fahlbusch, F B; Rades, D; Vordermark, D

2018-02-01

Breast cancer is the most common cancer type among women necessitating adjuvant radiotherapy. As the Internet has become a major source of information for cancer patients, this study aimed to evaluate the quality of websites giving information on side effects of radiotherapy for breast cancer patients. A patients' search for the English terms "breast cancer - radiotherapy - side effects" and the corresponding German terms "Brustkrebs - Strahlentherapie - Nebenwirkungen" was carried out twice (5 months apart) using the search engine Google. The first 30 search results each were evaluated using the validated 16-question DISCERN Plus instrument, the Health on the Net Code of Conduct (HONcode) certification and the Journal of the American Medical Association (JAMA) benchmark criteria. The overall quality (DISCERN score) of the retrieved websites was further compared to queries via Bing and Yahoo search engines. The DISCERN score showed a great range, with the majority of websites ranking fair to poor. Significantly superior results were found for English websites, particularly for webpages run by hospitals/universities and nongovernmental organizations (NGO), when compared to the respective German categories. In general, only a minority of websites met all JAMA benchmarks and was HONcode certified (both languages). We did not determine a relevant temporal change in website ranking among the top ten search hits, while significant variation occurred thereafter. Mean overall DISCERN score was similar between the various search engines. The Internet can give breast cancer patients seeking information on side effects of radiotherapy an overview. However, based on the currently low overall quality of websites and the lack of transparency for the average layperson, we emphasize the value of personal contact with the treating radio-oncologist in order to integrate and interpret the information found online.

75 FR 39285 - Tennessee Valley Authority; Notice of Receipt of Updated Antitrust Information and Opportunity...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-07-08

... either the Web-based search (advanced search) engine or the ADAMS find tool in Citrix. Within 30 days.... To search for other related documents in ADAMS using the Watts Bar Nuclear Plant Unit 2 OL...

Collaborative search in electronic health records.

PubMed

Zheng, Kai; Mei, Qiaozhu; Hanauer, David A

2011-05-01

A full-text search engine can be a useful tool for augmenting the reuse value of unstructured narrative data stored in electronic health records (EHR). A prominent barrier to the effective utilization of such tools originates from users' lack of search expertise and/or medical-domain knowledge. To mitigate the issue, the authors experimented with a 'collaborative search' feature through a homegrown EHR search engine that allows users to preserve their search knowledge and share it with others. This feature was inspired by the success of many social information-foraging techniques used on the web that leverage users' collective wisdom to improve the quality and efficiency of information retrieval. The authors conducted an empirical evaluation study over a 4-year period. The user sample consisted of 451 academic researchers, medical practitioners, and hospital administrators. The data were analyzed using a social-network analysis to delineate the structure of the user collaboration networks that mediated the diffusion of knowledge of search. The users embraced the concept with considerable enthusiasm. About half of the EHR searches processed by the system (0.44 million) were based on stored search knowledge; 0.16 million utilized shared knowledge made available by other users. The social-network analysis results also suggest that the user-collaboration networks engendered by the collaborative search feature played an instrumental role in enabling the transfer of search knowledge across people and domains. Applying collaborative search, a social information-foraging technique popularly used on the web, may provide the potential to improve the quality and efficiency of information retrieval in healthcare.

Uncovering the Hidden Web, Part I: Finding What the Search Engines Don't. ERIC Digest.

ERIC Educational Resources Information Center

Mardis, Marcia

Currently, the World Wide Web contains an estimated 7.4 million sites (OCLC, 2001). Yet even the most experienced searcher, using the most robust search engines, can access only about 16% of these pages (Dahn, 2001). The other 84% of the publicly available information on the Web is referred to as the "hidden,""invisible," or…

Using JournalMap to link spatial information with ecological site descriptions

USDA-ARS?s Scientific Manuscript database

JournalMap is a scientific literature search engine that empowers you to find relevant research based on location and biophysical variables as well as traditional keyword searches. All publications are geotagged based on reported location information and plotted on a world map showing where the rese...

Internet Technology--Going beyond Google

ERIC Educational Resources Information Center

Warger, Tom

2006-01-01

Over the past dozen years, the switch from paper to electronic sources of information has been all encompassing. How can technology support the efforts of scholars to find and evaluate information? General-purpose search engines use an obscure mix of advanced algorithms to index, search, match, and rank results. Metasearch software extends the…

Investigating the Roles of Knowledge and Cognitive Abilities in Older Adult Information Seeking on the Web

PubMed Central

SHARIT, JOSEPH; HERNÁNDEZ, MARIO A.; CZAJA, SARA J.; PIROLLI, PETER

2009-01-01

This study investigated the influences of knowledge, particularly Internet, Web browser, and search engine knowledge, as well as cognitive abilities on older adult information seeking on the Internet. The emphasis on aspects of cognition was informed by a modeling framework of search engine information-seeking behavior. Participants from two older age groups were recruited: twenty people in a younger-old group (ages 60–70) and twenty people in an older-old group (ages 71–85). Ten younger adults (ages 18–39) served as a comparison group. All participants had at least some Internet search experience. The experimental task consisted of six realistic search problems, all involving information related to health and well-being and which varied in degree of complexity. The results indicated that though necessary, Internet-related knowledge was not sufficient in explaining information-seeking performance, and suggested that a combination of both knowledge and key cognitive abilities is important for successful information seeking. In addition, the cognitive abilities that were found to be critical for task performance depended on the search problem’s complexity. Also, significant differences in task performance between the younger and the two older age groups were found on complex, but not on simple problems. Overall, the results from this study have implications for instructing older adults on Internet information seeking and for the design of Web sites. PMID:20011130

Metadata, PICS and Quality.

ERIC Educational Resources Information Center

Armstrong, C. J.

1997-01-01

Discusses PICS (Platform for Internet Content Selection), the Centre for Information Quality Management (CIQM), and metadata. Highlights include filtering networked information; the quality of information; and standardizing search engines. (LRW)

The sources and popularity of online drug information: an analysis of top search engine results and web page views.

PubMed

Law, Michael R; Mintzes, Barbara; Morgan, Steven G

2011-03-01

The Internet has become a popular source of health information. However, there is little information on what drug information and which Web sites are being searched. To investigate the sources of online information about prescription drugs by assessing the most common Web sites returned in online drug searches and to assess the comparative popularity of Web pages for particular drugs. This was a cross-sectional study of search results for the most commonly dispensed drugs in the US (n=278 active ingredients) on 4 popular search engines: Bing, Google (both US and Canada), and Yahoo. We determined the number of times a Web site appeared as the first result. A linked retrospective analysis counted Wikipedia page hits for each of these drugs in 2008 and 2009. About three quarters of the first result on Google USA for both brand and generic names linked to the National Library of Medicine. In contrast, Wikipedia was the first result for approximately 80% of generic name searches on the other 3 sites. On these other sites, over two thirds of brand name searches led to industry-sponsored sites. The Wikipedia pages with the highest number of hits were mainly for opiates, benzodiazepines, antibiotics, and antidepressants. Wikipedia and the National Library of Medicine rank highly in online drug searches. Further, our results suggest that patients most often seek information on drugs with the potential for dependence, for stigmatized conditions, that have received media attention, and for episodic treatments. Quality improvement efforts should focus on these drugs.

78 FR 71024 - Petition for Exemption; Summary of Petition Received

Federal Register 2010, 2011, 2012, 2013, 2014

2013-11-27

... information you provide. Using the search function of our docket Web site, anyone can find and read the... INFORMATION CONTACT: Jay Turnberg, Federal Aviation Administration, Engine and Propeller Directorate... Exemption Docket No.: FAA-2013-0815 Petitioner: International Aero Engines, LLC Section of 14 CFR Affected...

Google search behavior for status epilepticus.

PubMed

Brigo, Francesco; Trinka, Eugen

2015-08-01

Millions of people surf the Internet every day as a source of health-care information looking for materials about symptoms, diagnosis, treatments and their possible adverse effects, or diagnostic procedures. Google is the most popular search engine and is used by patients and physicians to search for online health-related information. This study aimed to evaluate changes in Google search behavior occurring in English-speaking countries over time for the term "status epilepticus" (SE). Using Google Trends, data on global search queries for the term SE between the 1st of January 2004 and 31st of December 2014 were analyzed. Search volume numbers over time (downloaded as CSV datasets) were analyzed by applying the "health" category filter. The research trends for the term SE remained fairly constant over time. The greatest search volume for the term SE was reported in the United States, followed by India, Australia, the United Kingdom, Canada, the Netherlands, Thailand, and Germany. Most terms associated with the search queries were related to SE definition, symptoms, subtypes, and treatment. The volume of searches for some queries (nonconvulsive, focal, and refractory SE; SE definition; SE guidelines; SE symptoms; SE management; SE treatment) was enormously increased over time (search popularity has exceeded a 5000% growth since 2004). Most people use search engines to look for the term SE to obtain information on its definition, subtypes, and management. The greatest search volume occurred not only in developed countries but also in developing countries where raising awareness about SE still remains a challenging task and where there is reduced public knowledge of epilepsy. Health information seeking (the extent to which people search for health information online) reflects the health-related information needs of Internet users for a specific disease. Google Trends shows that Internet users have a great demand for information concerning some aspects of SE (definition, subtypes, symptoms, treatment, and guidelines). Policy makers and neurological scientific societies have the responsibility to try to meet these information needs and to better target public information campaigns on SE to the general population. This article is part of a Special Issue entitled "Status Epilepticus". Copyright © 2015 Elsevier Inc. All rights reserved.

Surfing for suicide methods and help: content analysis of websites retrieved with search engines in Austria and the United States.

PubMed

Till, Benedikt; Niederkrotenthaler, Thomas

2014-08-01

The Internet provides a variety of resources for individuals searching for suicide-related information. Structured content-analytic approaches to assess intercultural differences in web contents retrieved with method-related and help-related searches are scarce. We used the 2 most popular search engines (Google and Yahoo/Bing) to retrieve US-American and Austrian search results for the term suicide, method-related search terms (e.g., suicide methods, how to kill yourself, painless suicide, how to hang yourself), and help-related terms (e.g., suicidal thoughts, suicide help) on February 11, 2013. In total, 396 websites retrieved with US search engines and 335 websites from Austrian searches were analyzed with content analysis on the basis of current media guidelines for suicide reporting. We assessed the quality of websites and compared findings across search terms and between the United States and Austria. In both countries, protective outweighed harmful website characteristics by approximately 2:1. Websites retrieved with method-related search terms (e.g., how to hang yourself) contained more harmful (United States: P < .001, Austria: P < .05) and fewer protective characteristics (United States: P < .001, Austria: P < .001) compared to the term suicide. Help-related search terms (e.g., suicidal thoughts) yielded more websites with protective characteristics (United States: P = .07, Austria: P < .01). Websites retrieved with U.S. search engines generally had more protective characteristics (P < .001) than searches with Austrian search engines. Resources with harmful characteristics were better ranked than those with protective characteristics (United States: P < .01, Austria: P < .05). The quality of suicide-related websites obtained depends on the search terms used. Preventive efforts to improve the ranking of preventive web content, particularly regarding method-related search terms, seem necessary. © Copyright 2014 Physicians Postgraduate Press, Inc.

Searching for cancer information on the internet: analyzing natural language search queries.

PubMed

Bader, Judith L; Theofanos, Mary Frances

2003-12-11

Searching for health information is one of the most-common tasks performed by Internet users. Many users begin searching on popular search engines rather than on prominent health information sites. We know that many visitors to our (National Cancer Institute) Web site, cancer.gov, arrive via links in search engine result. To learn more about the specific needs of our general-public users, we wanted to understand what lay users really wanted to know about cancer, how they phrased their questions, and how much detail they used. The National Cancer Institute partnered with AskJeeves, Inc to develop a methodology to capture, sample, and analyze 3 months of cancer-related queries on the Ask.com Web site, a prominent United States consumer search engine, which receives over 35 million queries per week. Using a benchmark set of 500 terms and word roots supplied by the National Cancer Institute, AskJeeves identified a test sample of cancer queries for 1 week in August 2001. From these 500 terms only 37 appeared >or= 5 times/day over the trial test week in 17208 queries. Using these 37 terms, 204165 instances of cancer queries were found in the Ask.com query logs for the actual test period of June-August 2001. Of these, 7500 individual user questions were randomly selected for detailed analysis and assigned to appropriate categories. The exact language of sample queries is presented. Considering multiples of the same questions, the sample of 7500 individual user queries represented 76077 queries (37% of the total 3-month pool). Overall 78.37% of sampled Cancer queries asked about 14 specific cancer types. Within each cancer type, queries were sorted into appropriate subcategories including at least the following: General Information, Symptoms, Diagnosis and Testing, Treatment, Statistics, Definition, and Cause/Risk/Link. The most-common specific cancer types mentioned in queries were Digestive/Gastrointestinal/Bowel (15.0%), Breast (11.7%), Skin (11.3%), and Genitourinary (10.5%). Additional subcategories of queries about specific cancer types varied, depending on user input. Queries that were not specific to a cancer type were also tracked and categorized. Natural-language searching affords users the opportunity to fully express their information needs and can aid users naïve to the content and vocabulary. The specific queries analyzed for this study reflect news and research studies reported during the study dates and would surely change with different study dates. Analyzing queries from search engines represents one way of knowing what kinds of content to provide to users of a given Web site. Users ask questions using whole sentences and keywords, often misspelling words. Providing the option for natural-language searching does not obviate the need for good information architecture, usability engineering, and user testing in order to optimize user experience.

Searching for Cancer Information on the Internet: Analyzing Natural Language Search Queries

PubMed Central

Theofanos, Mary Frances

2003-01-01

Background Searching for health information is one of the most-common tasks performed by Internet users. Many users begin searching on popular search engines rather than on prominent health information sites. We know that many visitors to our (National Cancer Institute) Web site, cancer.gov, arrive via links in search engine result. Objective To learn more about the specific needs of our general-public users, we wanted to understand what lay users really wanted to know about cancer, how they phrased their questions, and how much detail they used. Methods The National Cancer Institute partnered with AskJeeves, Inc to develop a methodology to capture, sample, and analyze 3 months of cancer-related queries on the Ask.com Web site, a prominent United States consumer search engine, which receives over 35 million queries per week. Using a benchmark set of 500 terms and word roots supplied by the National Cancer Institute, AskJeeves identified a test sample of cancer queries for 1 week in August 2001. From these 500 terms only 37 appeared ≥ 5 times/day over the trial test week in 17208 queries. Using these 37 terms, 204165 instances of cancer queries were found in the Ask.com query logs for the actual test period of June-August 2001. Of these, 7500 individual user questions were randomly selected for detailed analysis and assigned to appropriate categories. The exact language of sample queries is presented. Results Considering multiples of the same questions, the sample of 7500 individual user queries represented 76077 queries (37% of the total 3-month pool). Overall 78.37% of sampled Cancer queries asked about 14 specific cancer types. Within each cancer type, queries were sorted into appropriate subcategories including at least the following: General Information, Symptoms, Diagnosis and Testing, Treatment, Statistics, Definition, and Cause/Risk/Link. The most-common specific cancer types mentioned in queries were Digestive/Gastrointestinal/Bowel (15.0%), Breast (11.7%), Skin (11.3%), and Genitourinary (10.5%). Additional subcategories of queries about specific cancer types varied, depending on user input. Queries that were not specific to a cancer type were also tracked and categorized. Conclusions Natural-language searching affords users the opportunity to fully express their information needs and can aid users naïve to the content and vocabulary. The specific queries analyzed for this study reflect news and research studies reported during the study dates and would surely change with different study dates. Analyzing queries from search engines represents one way of knowing what kinds of content to provide to users of a given Web site. Users ask questions using whole sentences and keywords, often misspelling words. Providing the option for natural-language searching does not obviate the need for good information architecture, usability engineering, and user testing in order to optimize user experience. PMID:14713659

Information is in the eye of the beholder: Seeking information on the MMR vaccine through an Internet search engine.

PubMed

Yom-Tov, Elad; Fernandez-Luque, Luis

2014-01-01

Vaccination campaigns are one of the most important and successful public health programs ever undertaken. People who want to learn about vaccines in order to make an informed decision on whether to vaccinate are faced with a wealth of information on the Internet, both for and against vaccinations. In this paper we develop an automated way to score Internet search queries and web pages as to the likelihood that a person making these queries or reading those pages would decide to vaccinate. We apply this method to data from a major Internet search engine, while people seek information about the Measles, Mumps and Rubella (MMR) vaccine. We show that our method is accurate, and use it to learn about the information acquisition process of people. Our results show that people who are pro-vaccination as well as people who are anti-vaccination seek similar information, but browsing this information has differing effect on their future browsing. These findings demonstrate the need for health authorities to tailor their information according to the current stance of users.

Information is in the eye of the beholder: Seeking information on the MMR vaccine through an Internet search engine

PubMed Central

Yom-Tov, Elad; Fernandez-Luque, Luis

2014-01-01

Vaccination campaigns are one of the most important and successful public health programs ever undertaken. People who want to learn about vaccines in order to make an informed decision on whether to vaccinate are faced with a wealth of information on the Internet, both for and against vaccinations. In this paper we develop an automated way to score Internet search queries and web pages as to the likelihood that a person making these queries or reading those pages would decide to vaccinate. We apply this method to data from a major Internet search engine, while people seek information about the Measles, Mumps and Rubella (MMR) vaccine. We show that our method is accurate, and use it to learn about the information acquisition process of people. Our results show that people who are pro-vaccination as well as people who are anti-vaccination seek similar information, but browsing this information has differing effect on their future browsing. These findings demonstrate the need for health authorities to tailor their information according to the current stance of users. PMID:25954435

Is the Internet a Suitable Patient Resource for Information on Common Radiological Investigations?: Radiology-Related Information on the Internet.

PubMed

Bowden, Dermot J; Yap, Lee-Chien; Sheppard, Declan G

2017-07-01

This study aimed to assess the quality of Internet information about common radiological investigations. Four search engines (Google, Bing, Yahoo, and Duckduckgo) were searched using the terms "X-ray," "cat scan," "MRI," "ultrasound," and "pet scan." The first 10 webpage results returned for each search term were recorded, and their quality and readability were analyzed by two independent reviewers (DJB and LCY), with discrepancies resolved by consensus. Analysis of information quality was conducted using validated instruments for the assessment of health-care information (DISCERN score is a multi-domain tool for assessment of health-care information quality by health-care professionals and laypeople (max 80 points)) and readability (Flesch-Kincaid and SMOG or Simple Measure of Gobbledygook scores). The search result pages were further classified into categories as follows: commercial, academic (educational/institutional), and news/magazine. Several organizations offer website accreditation for health-care information, and accreditation is recognized by the presence of a hallmark or logo on the website. The presence of any valid accreditation marks on each website was recorded. Mean scores between groups were compared for significance using the Student t test. A total of 200 webpages returned (108 unique website addresses). The average DISCERN score was <50 points for all modalities and search engines. No significant difference was seen in readability between modalities or between search engines. Websites carrying validated accreditation marks were associated with higher average DISCERN scores: X-ray (39.36 vs 25.35), computed tomography (45.45 vs 31.33), and ultrasound (40.91 vs 27.62) (P < .01). Academic/government institutions produced material with higher DISCERN scores: X-ray (40.06 vs 22.23), magnetic resonance imaging (44.69 vs 29), ultrasound (46 vs 31.91), and positron emission tomography (45.93 vs 38.31) (P < .01). Commercial websites produced material with lower mean DISCERN scores: X-ray (17.25 vs 31.69), magnetic resonance imaging (20.8 vs 40.1), ultrasound (24.11 vs 42.35), and positron emission tomography (24.5 vs 44.45) (P < .01). Although readability is adequate, the overall quality of radiology-related health-care information on the Internet is poor. High-quality online resources should be identified so that patients may avoid the use of poor-quality information derived from general search engine queries. Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Keeping Dublin Core Simple: Cross-Domain Discovery or Resource Description?; First Steps in an Information Commerce Economy: Digital Rights Management in the Emerging E-Book Environment; Interoperability: Digital Rights Management and the Emerging EBook Environment; Searching the Deep Web: Direct Query Engine Applications at the Department of Energy.

ERIC Educational Resources Information Center

Lagoze, Carl; Neylon, Eamonn; Mooney, Stephen; Warnick, Walter L.; Scott, R. L.; Spence, Karen J.; Johnson, Lorrie A.; Allen, Valerie S.; Lederman, Abe

2001-01-01

Includes four articles that discuss Dublin Core metadata, digital rights management and electronic books, including interoperability; and directed query engines, a type of search engine designed to access resources on the deep Web that is being used at the Department of Energy. (LRW)

Quality Assessment of Information on Bariatric Surgery Websites.

PubMed

Vetter, Diana; Ruhwinkel, Hendrik; Raptis, Dimitri A; Bueter, Marco

2018-05-01

The aim of this study was to assess the quality of patient information on bariatric surgery in the internet using the modified Ensuring Quality Information for Patients (EQIP) tool. Systematic review of information on bariatric surgery in the internet by entering common search terms into five search engines. The top 100 websites of every search term and search engine were assessed using the validated EQIP tool (maximum score, 36), which entails points for content, structure, and identification data of a given website. Websites at or above the 99th percentile were analyzed separately (n = 8). The median EQIP score of all included websites (n = 463) was 17 (IQR 15-19). While information on the medical problem, the indication for surgery, or the treatment alternatives was present in 84% of all websites, only 10% of the included websites contained adequate information on postoperative complications. Although quantitative information on incidence (37.5%) and treatment of complications (12.5%) was significantly better in the top 99th percentile websites, the content of relevant information such as occurrence and treatment of complications was still very limited. The overall quality of patient information on bariatric surgery in the internet is relatively poor. Especially incidence of complications and their treatment are rarely reported even on websites with a 99th percentile EQIP score.

A Method for the Design and Development of Medical or Health Care Information Websites to Optimize Search Engine Results Page Rankings on Google

PubMed Central

Cummins, Niamh Maria; Hannigan, Ailish; Shannon, Bill; Dunne, Colum; Cullen, Walter

2013-01-01

Background The Internet is a widely used source of information for patients searching for medical/health care information. While many studies have assessed existing medical/health care information on the Internet, relatively few have examined methods for design and delivery of such websites, particularly those aimed at the general public. Objective This study describes a method of evaluating material for new medical/health care websites, or for assessing those already in existence, which is correlated with higher rankings on Google's Search Engine Results Pages (SERPs). Methods A website quality assessment (WQA) tool was developed using criteria related to the quality of the information to be contained in the website in addition to an assessment of the readability of the text. This was retrospectively applied to assess existing websites that provide information about generic medicines. The reproducibility of the WQA tool and its predictive validity were assessed in this study. Results The WQA tool demonstrated very high reproducibility (intraclass correlation coefficient=0.95) between 2 independent users. A moderate to strong correlation was found between WQA scores and rankings on Google SERPs. Analogous correlations were seen between rankings and readability of websites as determined by Flesch Reading Ease and Flesch-Kincaid Grade Level scores. Conclusions The use of the WQA tool developed in this study is recommended as part of the design phase of a medical or health care information provision website, along with assessment of readability of the material to be used. This may ensure that the website performs better on Google searches. The tool can also be used retrospectively to make improvements to existing websites, thus, potentially enabling better Google search result positions without incurring the costs associated with Search Engine Optimization (SEO) professionals or paid promotion. PMID:23981848

Collaborative search in electronic health records

PubMed Central

Mei, Qiaozhu; Hanauer, David A

2011-01-01

Objective A full-text search engine can be a useful tool for augmenting the reuse value of unstructured narrative data stored in electronic health records (EHR). A prominent barrier to the effective utilization of such tools originates from users' lack of search expertise and/or medical-domain knowledge. To mitigate the issue, the authors experimented with a ‘collaborative search’ feature through a homegrown EHR search engine that allows users to preserve their search knowledge and share it with others. This feature was inspired by the success of many social information-foraging techniques used on the web that leverage users' collective wisdom to improve the quality and efficiency of information retrieval. Design The authors conducted an empirical evaluation study over a 4-year period. The user sample consisted of 451 academic researchers, medical practitioners, and hospital administrators. The data were analyzed using a social-network analysis to delineate the structure of the user collaboration networks that mediated the diffusion of knowledge of search. Results The users embraced the concept with considerable enthusiasm. About half of the EHR searches processed by the system (0.44 million) were based on stored search knowledge; 0.16 million utilized shared knowledge made available by other users. The social-network analysis results also suggest that the user-collaboration networks engendered by the collaborative search feature played an instrumental role in enabling the transfer of search knowledge across people and domains. Conclusion Applying collaborative search, a social information-foraging technique popularly used on the web, may provide the potential to improve the quality and efficiency of information retrieval in healthcare. PMID:21486887

The effect of search term on the quality and accuracy of online information regarding distal radius fractures.

PubMed

Dy, Christopher J; Taylor, Samuel A; Patel, Ronak M; Kitay, Alison; Roberts, Timothy R; Daluiski, Aaron

2012-09-01

Recent emphasis on shared decision making and patient-centered research has increased the importance of patient education and health literacy. The internet is rapidly growing as a source of self-education for patients. However, concern exists over the quality, accuracy, and readability of the information. Our objective was to determine whether the quality, accuracy, and readability of information online about distal radius fractures vary with the search term. This was a prospective evaluation of 3 search engines using 3 different search terms of varying sophistication ("distal radius fracture," "wrist fracture," and "broken wrist"). We evaluated 70 unique Web sites for quality, accuracy, and readability. We used comparative statistics to determine whether the search term affected the quality, accuracy, and readability of the Web sites found. Three orthopedic surgeons independently gauged quality and accuracy of information using a set of predetermined scoring criteria. We evaluated the readability of the Web site using the Fleisch-Kincaid score for reading grade level. There were significant differences in the quality, accuracy, and readability of information found, depending on the search term. We found higher quality and accuracy resulted from the search term "distal radius fracture," particularly compared with Web sites resulting from the term "broken wrist." The reading level was higher than recommended in 65 of the 70 Web sites and was significantly higher when searching with "distal radius fracture" than "wrist fracture" or "broken wrist." There was no correlation between Web site reading level and quality or accuracy. The readability of information about distal radius fractures in most Web sites was higher than the recommended reading level for the general public. The quality and accuracy of the information found significantly varied with the sophistication of the search term used. Physicians, professional societies, and search engines should consider efforts to improve internet access to high-quality information at an understandable level. Copyright © 2012 American Society for Surgery of the Hand. Published by Elsevier Inc. All rights reserved.

Creative Thinking of Practical Engineering Students During a Design Project

NASA Astrophysics Data System (ADS)

Waks, Shlomo; Merdler, Moti

2003-01-01

Creativity in engineering design had become an economic necessity and not merely the privilege of unique individuals. The search for new, innovative and effective ideas in engineering design stands in center of daily creative performance. This search requires sensitivity to gaps of knowledge and information, and the ability to evoke numerous, different and unique ideas about engineering problems. The source of such information or knowledge can be either extrinsic-such as provided by an instructor or expert or intrinsic, which might involve transformation from one field or context to another. Furthermore, interaction with an exterior source as well as developing an inherent drive, have an impact on the motivation to perform creatively. This article, which is based on a study conducted among Israeli practical engineering students, deals with the variations in creative thinking during various stages of a design project and the relation between creative thinking and motivation factors.

Southwell's Relaxation Search in Computer Aided Advising: An Intelligent Information System.

ERIC Educational Resources Information Center

Song, Xueshu

1992-01-01

Describes the development and validation of a microcomputer software system that enhances undergraduate students' interests in becoming engineering graduate students. The development of a database with information on engineering graduate programs is discussed, and a model that matches individual and institutional needs using Southwell's Relaxation…

Analysis of Internet Information on Lateral Lumbar Interbody Fusion.

PubMed

Belayneh, Rebekah; Mesfin, Addisu

2016-07-01

Lateral lumbar interbody fusion (LLIF) is a surgical technique that is being increasingly used. The authors' objective was to examine information on the Internet pertaining to the LLIF technique. An analysis was conducted of publicly accessible websites pertaining to LLIF. The following search engines were used: Google (www.google.com), Bing (www.bing.com), and Yahoo (www.yahoo.com). DuckDuckGo (www.duckduckgo.com) was an additional search engine used due to its emphasis on generating accurate and consistent results while protecting searchers' privacy and reducing advertisements. The top 35 websites providing information on LLIF from the 4 search engines were identified. A total of 140 websites were evaluated. Each web-site was categorized based on authorship (academic, private, medical industry, insurance company, other) and content of information. Using the search term lateral lumbar interbody fusion, 174,000 Google results, 112,000 Yahoo results, and 112,000 Bing results were obtained. DuckDuckGo does not display the number of results found for a search. From the top 140 websites collected from each website, 78 unique websites were identified. Websites were authored by a private medical group in 46.2% of the cases, an academic medical group in 26.9% of the cases, and the biomedical industry in 5.1% of the cases. Sixty-eight percent of websites reported indications, and 24.4% reported contraindications. Benefits of LLIF were reported by 69.2% of websites. Thirty-six percent of websites reported complications of LLIF. Overall, the quality of information regarding LLIF on the Internet is poor. Spine surgeons and spine societies can assist in improving the quality of the information on the Internet regarding LLIF. [Orthopedics. 2016; 39(4):e701-e707.]. Copyright 2016, SLACK Incorporated.

Workshop on Information Engines at the Frontiers of Nanoscale Thermodynamics

DTIC Science & Technology

2017-11-01

Report: Workshop on Information Engines at the Frontiers of Nanoscale Thermodynamics The views, opinions and/or findings contained in this report are... information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and...maintaining the data needed, and completing and reviewing the collection of information . Send comments regarding this burden estimate or any other

Health literacy and usability of clinical trial search engines.

PubMed

Utami, Dina; Bickmore, Timothy W; Barry, Barbara; Paasche-Orlow, Michael K

2014-01-01

Several web-based search engines have been developed to assist individuals to find clinical trials for which they may be interested in volunteering. However, these search engines may be difficult for individuals with low health and computer literacy to navigate. The authors present findings from a usability evaluation of clinical trial search tools with 41 participants across the health and computer literacy spectrum. The study consisted of 3 parts: (a) a usability study of an existing web-based clinical trial search tool; (b) a usability study of a keyword-based clinical trial search tool; and (c) an exploratory study investigating users' information needs when deciding among 2 or more candidate clinical trials. From the first 2 studies, the authors found that users with low health literacy have difficulty forming queries using keywords and have significantly more difficulty using a standard web-based clinical trial search tool compared with users with adequate health literacy. From the third study, the authors identified the search factors most important to individuals searching for clinical trials and how these varied by health literacy level.

A comparison of Boolean-based retrieval to the WAIS system for retrieval of aeronautical information

NASA Technical Reports Server (NTRS)

Marchionini, Gary; Barlow, Diane

1994-01-01

An evaluation of an information retrieval system using a Boolean-based retrieval engine and inverted file architecture and WAIS, which uses a vector-based engine, was conducted. Four research questions in aeronautical engineering were used to retrieve sets of citations from the NASA Aerospace Database which was mounted on a WAIS server and available through Dialog File 108 which served as the Boolean-based system (BBS). High recall and high precision searches were done in the BBS and terse and verbose queries were used in the WAIS condition. Precision values for the WAIS searches were consistently above the precision values for high recall BBS searches and consistently below the precision values for high precision BBS searches. Terse WAIS queries gave somewhat better precision performance than verbose WAIS queries. In every case, a small number of relevant documents retrieved by one system were not retrieved by the other, indicating the incomplete nature of the results from either retrieval system. Relevant documents in the WAIS searches were found to be randomly distributed in the retrieved sets rather than distributed by ranks. Advantages and limitations of both types of systems are discussed.

Adaptive Highlighting of Links to Assist Surfing on the Internet

DTIC Science & Technology

2002-01-01

search engines do not offer a satisfactory solution, their indexing cycle is long and creates a time lag of about one month. Moreover, sometimes search engines offer a huge amount of documents, which is hard to constrain and to increase the ratio of relevant information. A novel AI-assisted surfing method, which highlights links during surfing is studied here. The method makes use

Predicting the hand, foot, and mouth disease incidence using search engine query data and climate variables: an ecological study in Guangdong, China.

PubMed

Du, Zhicheng; Xu, Lin; Zhang, Wangjian; Zhang, Dingmei; Yu, Shicheng; Hao, Yuantao

2017-10-06

Hand, foot, and mouth disease (HFMD) has caused a substantial burden in China, especially in Guangdong Province. Based on the enhanced surveillance system, we aimed to explore whether the addition of temperate and search engine query data improves the risk prediction of HFMD. Ecological study. Information on the confirmed cases of HFMD, climate parameters and search engine query logs was collected. A total of 1.36 million HFMD cases were identified from the surveillance system during 2011-2014. Analyses were conducted at aggregate level and no confidential information was involved. A seasonal autoregressive integrated moving average (ARIMA) model with external variables (ARIMAX) was used to predict the HFMD incidence from 2011 to 2014, taking into account temperature and search engine query data (Baidu Index, BDI). Statistics of goodness-of-fit and precision of prediction were used to compare models (1) based on surveillance data only, and with the addition of (2) temperature, (3) BDI, and (4) both temperature and BDI. A high correlation between HFMD incidence and BDI ( r =0.794, p<0.001) or temperature ( r =0.657, p<0.001) was observed using both time series plot and correlation matrix. A linear effect of BDI (without lag) and non-linear effect of temperature (1 week lag) on HFMD incidence were found in a distributed lag non-linear model. Compared with the model based on surveillance data only, the ARIMAX model including BDI reached the best goodness-of-fit with an Akaike information criterion (AIC) value of -345.332, whereas the model including both BDI and temperature had the most accurate prediction in terms of the mean absolute percentage error (MAPE) of 101.745%. An ARIMAX model incorporating search engine query data significantly improved the prediction of HFMD. Further studies are warranted to examine whether including search engine query data also improves the prediction of other infectious diseases in other settings. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Predicting the hand, foot, and mouth disease incidence using search engine query data and climate variables: an ecological study in Guangdong, China

PubMed Central

Du, Zhicheng; Xu, Lin; Zhang, Wangjian; Zhang, Dingmei; Yu, Shicheng; Hao, Yuantao

2017-01-01

Objectives Hand, foot, and mouth disease (HFMD) has caused a substantial burden in China, especially in Guangdong Province. Based on the enhanced surveillance system, we aimed to explore whether the addition of temperate and search engine query data improves the risk prediction of HFMD. Design Ecological study. Setting and participants Information on the confirmed cases of HFMD, climate parameters and search engine query logs was collected. A total of 1.36 million HFMD cases were identified from the surveillance system during 2011–2014. Analyses were conducted at aggregate level and no confidential information was involved. Outcome measures A seasonal autoregressive integrated moving average (ARIMA) model with external variables (ARIMAX) was used to predict the HFMD incidence from 2011 to 2014, taking into account temperature and search engine query data (Baidu Index, BDI). Statistics of goodness-of-fit and precision of prediction were used to compare models (1) based on surveillance data only, and with the addition of (2) temperature, (3) BDI, and (4) both temperature and BDI. Results A high correlation between HFMD incidence and BDI (r=0.794, p<0.001) or temperature (r=0.657, p<0.001) was observed using both time series plot and correlation matrix. A linear effect of BDI (without lag) and non-linear effect of temperature (1 week lag) on HFMD incidence were found in a distributed lag non-linear model. Compared with the model based on surveillance data only, the ARIMAX model including BDI reached the best goodness-of-fit with an Akaike information criterion (AIC) value of −345.332, whereas the model including both BDI and temperature had the most accurate prediction in terms of the mean absolute percentage error (MAPE) of 101.745%. Conclusions An ARIMAX model incorporating search engine query data significantly improved the prediction of HFMD. Further studies are warranted to examine whether including search engine query data also improves the prediction of other infectious diseases in other settings. PMID:28988169

Evaluation of Dengue-Related Health Information on the Internet

PubMed Central

Rao, Navya R.; Mohapatra, Manaswini; Mishra, Swayamprabha; Joshi, Ashish

2012-01-01

The objective of this study was to examine the quality of dengue-related health information on the Internet. Three raters used the keyword dengue to search the Google, Yahoo!, and Bing search engines during August 2011. The first 20 websites from each search engine were examined for a total of 60 sites. Duplicate, nonfunctional, non-English, and nonoperational websites were excluded from the study, resulting in 36 sites for final analysis. The 16-item DISCERN tool was used to evaluate the quality of dengue-related health information on the Internet. Chi-square analysis and analysis of variance were performed to compare the DISCERN scores. Inter-rater reliability analysis showed significant differences in the level of agreement among the three raters. The 36 unique websites were categorized into .com, .edu, .gov, .org, and other sites. The .com sites had the lowest DISCERN scores. Educating consumers on how to find and recognize valid health information on the Internet may lead to better informed decision making. PMID:22783151

Differences and Similarities in Information Seeking: Children and Adults as Web Users.

ERIC Educational Resources Information Center

Bilal, Dania; Kirby, Joe

2002-01-01

Analyzed and compared the success and information seeking behaviors of seventh grade science students and graduate students in using the Yahooligans! Web search engine. Discusses cognitive, affective, and physical behaviors during a fact-finding task, including searching, browsing, and time to complete the task; navigational styles; and focus on…

Yahoo! Cataloging the Web.

ERIC Educational Resources Information Center

Callery, Anne

The Internet has the potential to be the ultimate information resource, but it needs to be organized in order to be useful. This paper discusses how the subject guide, "Yahoo!" is different from most web search engines, and how best to search for information on Yahoo! The strength in Yahoo! lies in the subject hierarchy. Advantages to…

Web Page Content and Quality Assessed for Shoulder Replacement.

PubMed

Matthews, John R; Harrison, Caitlyn M; Hughes, Travis M; Dezfuli, Bobby; Sheppard, Joseph

2016-01-01

The Internet has become a major source for obtaining health-related information. This study assesses and compares the quality of information available online for shoulder replacement using medical (total shoulder arthroplasty [TSA]) and nontechnical (shoulder replacement [SR]) terminology. Three evaluators reviewed 90 websites for each search term across 3 search engines (Google, Yahoo, and Bing). Websites were grouped into categories, identified as commercial or noncommercial, and evaluated with the DISCERN questionnaire. Total shoulder arthroplasty provided 53 unique sites compared to 38 websites for SR. Of the 53 TSA websites, 30% were health professional-oriented websites versus 18% of SR websites. Shoulder replacement websites provided more patient-oriented information at 48%, versus 45% of TSA websites. In total, SR websites provided 47% (42/90) noncommercial websites, with the highest number seen in Yahoo, compared with TSA at 37% (33/90), with Google providing 13 of the 33 websites (39%). Using the nonmedical terminology with Yahoo's search engine returned the most noncommercial and patient-oriented websites. However, the quality of information found online was highly variable, with most websites being unreliable and incomplete, regardless of search term.

The Brazilian Portuguese Lexicon: An Instrument for Psycholinguistic Research

PubMed Central

Estivalet, Gustavo L.; Meunier, Fanny

2015-01-01

In this article, we present the Brazilian Portuguese Lexicon, a new word-based corpus for psycholinguistic and computational linguistic research in Brazilian Portuguese. We describe the corpus development, the specific characteristics on the internet site and database for user access. We also perform distributional analyses of the corpus and comparisons to other current databases. Our main objective was to provide a large, reliable, and useful word-based corpus with a dynamic, easy-to-use, and intuitive interface with free internet access for word and word-criteria searches. We used the Núcleo Interinstitucional de Linguística Computacional’s corpus as the basic data source and developed the Brazilian Portuguese Lexicon by deriving and adding metalinguistic and psycholinguistic information about Brazilian Portuguese words. We obtained a final corpus with more than 30 million word tokens, 215 thousand word types and 25 categories of information about each word. This corpus was made available on the internet via a free-access site with two search engines: a simple search and a complex search. The simple engine basically searches for a list of words, while the complex engine accepts all types of criteria in the corpus categories. The output result presents all entries found in the corpus with the criteria specified in the input search and can be downloaded as a.csv file. We created a module in the results that delivers basic statistics about each search. The Brazilian Portuguese Lexicon also provides a pseudoword engine and specific tools for linguistic and statistical analysis. Therefore, the Brazilian Portuguese Lexicon is a convenient instrument for stimulus search, selection, control, and manipulation in psycholinguistic experiments, as also it is a powerful database for computational linguistics research and language modeling related to lexicon distribution, functioning, and behavior. PMID:26630138

The Brazilian Portuguese Lexicon: An Instrument for Psycholinguistic Research.

PubMed

Estivalet, Gustavo L; Meunier, Fanny

2015-01-01

In this article, we present the Brazilian Portuguese Lexicon, a new word-based corpus for psycholinguistic and computational linguistic research in Brazilian Portuguese. We describe the corpus development, the specific characteristics on the internet site and database for user access. We also perform distributional analyses of the corpus and comparisons to other current databases. Our main objective was to provide a large, reliable, and useful word-based corpus with a dynamic, easy-to-use, and intuitive interface with free internet access for word and word-criteria searches. We used the Núcleo Interinstitucional de Linguística Computacional's corpus as the basic data source and developed the Brazilian Portuguese Lexicon by deriving and adding metalinguistic and psycholinguistic information about Brazilian Portuguese words. We obtained a final corpus with more than 30 million word tokens, 215 thousand word types and 25 categories of information about each word. This corpus was made available on the internet via a free-access site with two search engines: a simple search and a complex search. The simple engine basically searches for a list of words, while the complex engine accepts all types of criteria in the corpus categories. The output result presents all entries found in the corpus with the criteria specified in the input search and can be downloaded as a.csv file. We created a module in the results that delivers basic statistics about each search. The Brazilian Portuguese Lexicon also provides a pseudoword engine and specific tools for linguistic and statistical analysis. Therefore, the Brazilian Portuguese Lexicon is a convenient instrument for stimulus search, selection, control, and manipulation in psycholinguistic experiments, as also it is a powerful database for computational linguistics research and language modeling related to lexicon distribution, functioning, and behavior.

HOW DO RADIOLOGISTS USE THE HUMAN SEARCH ENGINE?

PubMed

Wolfe, Jeremy M; Evans, Karla K; Drew, Trafton; Aizenman, Avigael; Josephs, Emilie

2016-06-01

Radiologists perform many 'visual search tasks' in which they look for one or more instances of one or more types of target item in a medical image (e.g. cancer screening). To understand and improve how radiologists do such tasks, it must be understood how the human 'search engine' works. This article briefly reviews some of the relevant work into this aspect of medical image perception. Questions include how attention and the eyes are guided in radiologic search? How is global (image-wide) information used in search? How might properties of human vision and human cognition lead to errors in radiologic search? © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

"Google Reigns Triumphant"?: Stemming the Tide of Googlitis via Collaborative, Situated Information Literacy Instruction

ERIC Educational Resources Information Center

Leibiger, Carol A.

2011-01-01

Googlitis, the overreliance on search engines for research and the resulting development of poor searching skills, is a recognized problem among today's students. Google is not an effective research tool because, in addition to encouraging keyword searching at the expense of more powerful subject searching, it only accesses the Surface Web and is…

Comparing the diversity of information by word-of-mouth vs. web spread

NASA Astrophysics Data System (ADS)

Sela, Alon; Shekhtman, Louis; Havlin, Shlomo; Ben-Gal, Irad

2016-06-01

Many studies have explored spreading and diffusion through complex networks. The following study examines a specific case of spreading of opinions in modern society through two spreading schemes —defined as being either through “word of mouth” (WOM), or through online search engines (WEB). We apply both modelling and real experimental results and compare the opinions people adopt through an exposure to their friend's opinions, as opposed to the opinions they adopt when using a search engine based on the PageRank algorithm. A simulated study shows that when members in a population adopt decisions through the use of the WEB scheme, the population ends up with a few dominant views, while other views are barely expressed. In contrast, when members adopt decisions based on the WOM scheme, there is a far more diverse distribution of opinions in that population. The simulative results are further supported by an online experiment which finds that people searching information through a search engine end up with far more homogenous opinions as compared to those asking their friends.

Landmarks in the World Wide Web: A Preliminary Study.

ERIC Educational Resources Information Center

Heffron, Jennifer K.; Dillon, Andrew; Mostafa, Javed

1996-01-01

Outlines results of a pilot study examining what constitutes a landmark in hypertext. Seven subjects began a search task from the same Indiana University School of Library and Information Science Homepage; searches had to be conducted without the use of search engines, and strictly following hypertext links. (Author/AEF)

Public hospital quality report awareness: evidence from National and Californian Internet searches and social media mentions, 2012

PubMed Central

Huesch, Marco D; Currid-Halkett, Elizabeth; Doctor, Jason N

2014-01-01

Objectives Publicly available hospital quality reports seek to inform consumers of important healthcare quality and affordability attributes, and may inform consumer decision-making. To understand how much consumers search for such information online on one Internet search engine, whether they mention such information in social media and how positively they view this information. Setting and design A leading Internet search engine (Google) was the main focus of the study. Google Trends and Google Adwords keyword analyses were performed for national and Californian searches between 1 August 2012 and 31 July 2013 for keywords related to ‘top hospital’, best hospital’, and ‘hospital quality’, as well as for six specific hospital quality reports. Separately, a proprietary social media monitoring tool was used to investigate blog, forum, social media and traditional media mentions of, and sentiment towards, major public reports of hospital quality in California in 2012. Primary outcome measures (1) Counts of searches for keywords performed on Google; (2) counts of and (3) sentiment of mentions of public reports on social media. Results National Google search volume for 75 hospital quality-related terms averaged 610 700 searches per month with strong variation by keyword and by state. A commercial report (Healthgrades) was more commonly searched for nationally on Google than the federal government's Hospital Compare, which otherwise dominated quality-related search terms. Social media references in California to quality reports were generally few, and commercially produced hospital quality reports were more widely mentioned than state (Office of Statewide Healthcare Planning and Development (OSHPD)), or non-profit (CalHospitalCompare) reports. Conclusions Consumers are somewhat aware of hospital quality based on Internet search activity and social media disclosures. Public stakeholders may be able to broaden their quality dissemination initiatives by advertising on Google or Twitter and using social media interactively with consumers looking for relevant information. PMID:24618223

A Modern Approach to the Traditional Textbook: Bringing Introductory Geology Courses into the 21st Century

NASA Astrophysics Data System (ADS)

Workman Ford, K.; Ford, K. R.

2013-12-01

Undergraduate introductory geology courses are required in many colleges nationwide as part of the general education requirement. As a result, a large portion of those students are non-majors and most are not science majors. Textbooks used in these courses are often extensive with respect to the amount of material covered which tends to be overwhelming to the average student. Thus, students often purchase the pricey textbook but turn to their smartphones, notebooks, and laptops for answers. Before the development of the internet, students spent many hours in libraries and with their textbooks organizing and retrieving information. However, new technologies in the 21st century have essentially replaced traditional textbooks with students turning to online search engines, such as Google, to study and to complete homework assignments. Presently, online search engines may be more intuitive, but what's going on in the background isn't intuitive at all, and few students have a clear understanding of how search engines operate. Effectively this leads to students without the conception of how to build an adequate search strategy independent of search engines. Often, students are directed to online encyclopedias that may have erroneous information. Here, we employ an alternative to traditional textbooks and online search engines by implementing a guidebook with electronic resources for online activities and homework assignments. The proposed guidebook is roughly modeled after the American Geosciences Institute's Geoscience Handbook: AGI Data Sheets 4th, revised edition, and will include diagrams, graphs, charts, and pictures of basic geologic principles, processes, and earth materials. Along with the information, each topic will have online resources including sites for general reading, specific assignments that require visiting scientifically sound websites (i.e., USGS, GSA, AGU, Science, Nature), online self-assessment activities, and Google Earth activities. In addition, some elements would include a critical thinking problem wherein students research a topic without specific online resources provided, and compare what they find to reputable resources. This process is likely to drive students to evaluate their sources in a more critical manner. Given that textbooks are costly and sometimes overwhelming for students compelling them to use online search engines, the idea of a guidebook that encompasses electronic resources may engage the students more effectively, leading to a more comprehensive understanding and appreciation of the geosciences.

Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal

PubMed Central

Jadhav, Ashutosh; Sheth, Amit; Pathak, Jyotishman

2014-01-01

Since the early 2000’s, Internet usage for health information searching has increased significantly. Studying search queries can help us to understand users “information need” and how do they formulate search queries (“expression of information need”). Although cardiovascular diseases (CVD) affect a large percentage of the population, few studies have investigated how and what users search for CVD. We address this knowledge gap in the community by analyzing a large corpus of 10 million CVD related search queries from MayoClinic.com. Using UMLS MetaMap and UMLS semantic types/concepts, we developed a rule-based approach to categorize the queries into 14 health categories. We analyzed structural properties, types (keyword-based/Wh-questions/Yes-No questions) and linguistic structure of the queries. Our results show that the most searched health categories are ‘Diseases/Conditions’, ‘Vital-Sings’, ‘Symptoms’ and ‘Living-with’. CVD queries are longer and are predominantly keyword-based. This study extends our knowledge about online health information searching and provides useful insights for Web search engines and health websites. PMID:25954380

Web sites for postpartum depression: convenient, frustrating, incomplete, and misleading.

PubMed

Summers, Audra L; Logsdon, M Cynthia

2005-01-01

To evaluate the content and the technology of Web sites providing information on postpartum depression. Eleven search engines were queried using the words "Postpartum Depression." The top 10 sites in each search engine were evaluated for correct content and technology using the Web Depression Tool, based on the Technology Assessment Model. Of the 36 unique Web sites located, 34 were available to review. Only five Web sites provided >75% correct responses to questions that summarized the current state of the science for postpartum depression. Eleven of the Web sites contained little or no useful information about postpartum depression, despite being among the first 10 Web sites listed by the search engine. Some Web sites contained possibly harmful suggestions for treatment of postpartum depression. In addition, there are many problems with the technology of Web sites providing information on postpartum depression. A better Web site for postpartum depression is necessary if we are to meet the needs of consumers for accurate and current information using technology that enhances learning. Since patient education is a core competency for nurses, it is essential that nurses understand how their patients are using the World Wide Web for learning and how we can assist our patients to find appropriate sites containing correct information.

Figure mining for biomedical research.

PubMed

Rodriguez-Esteban, Raul; Iossifov, Ivan

2009-08-15

Figures from biomedical articles contain valuable information difficult to reach without specialized tools. Currently, there is no search engine that can retrieve specific figure types. This study describes a retrieval method that takes advantage of principles in image understanding, text mining and optical character recognition (OCR) to retrieve figure types defined conceptually. A search engine was developed to retrieve tables and figure types to aid computational and experimental research. http://iossifovlab.cshl.edu/figurome/.

A two-level cache for distributed information retrieval in search engines.

PubMed

Zhang, Weizhe; He, Hui; Ye, Jianwei

2013-01-01

To improve the performance of distributed information retrieval in search engines, we propose a two-level cache structure based on the queries of the users' logs. We extract the highest rank queries of users from the static cache, in which the queries are the most popular. We adopt the dynamic cache as an auxiliary to optimize the distribution of the cache data. We propose a distribution strategy of the cache data. The experiments prove that the hit rate, the efficiency, and the time consumption of the two-level cache have advantages compared with other structures of cache.

A Two-Level Cache for Distributed Information Retrieval in Search Engines

PubMed Central

Zhang, Weizhe; He, Hui; Ye, Jianwei

2013-01-01

To improve the performance of distributed information retrieval in search engines, we propose a two-level cache structure based on the queries of the users' logs. We extract the highest rank queries of users from the static cache, in which the queries are the most popular. We adopt the dynamic cache as an auxiliary to optimize the distribution of the cache data. We propose a distribution strategy of the cache data. The experiments prove that the hit rate, the efficiency, and the time consumption of the two-level cache have advantages compared with other structures of cache. PMID:24363621

A study of medical and health queries to web search engines.

PubMed

Spink, Amanda; Yang, Yin; Jansen, Jim; Nykanen, Pirrko; Lorence, Daniel P; Ozmutlu, Seda; Ozmutlu, H Cenk

2004-03-01

This paper reports findings from an analysis of medical or health queries to different web search engines. We report results: (i). comparing samples of 10000 web queries taken randomly from 1.2 million query logs from the AlltheWeb.com and Excite.com commercial web search engines in 2001 for medical or health queries, (ii). comparing the 2001 findings from Excite and AlltheWeb.com users with results from a previous analysis of medical and health related queries from the Excite Web search engine for 1997 and 1999, and (iii). medical or health advice-seeking queries beginning with the word 'should'. Findings suggest: (i). a small percentage of web queries are medical or health related, (ii). the top five categories of medical or health queries were: general health, weight issues, reproductive health and puberty, pregnancy/obstetrics, and human relationships, and (iii). over time, the medical and health queries may have declined as a proportion of all web queries, as the use of specialized medical/health websites and e-commerce-related queries has increased. Findings provide insights into medical and health-related web querying and suggests some implications for the use of the general web search engines when seeking medical/health information.

In Search of Search Engine Marketing Strategy Amongst SME's in Ireland

NASA Astrophysics Data System (ADS)

Barry, Chris; Charleton, Debbie

Researchers have identified the Web as a searchers first port of call for locating information. Search Engine Marketing (SEM) strategies have been noted as a key consideration when developing, maintaining and managing Websites. A study presented here of SEM practices of Irish small to medium enterprises (SMEs) reveals they plan to spend more resources on SEM in the future. Most firms utilize an informal SEM strategy, where Website optimization is perceived most effective in attracting traffic. Respondents cite the use of ‘keywords in title and description tags’ as the most used SEM technique, followed by the use of ‘keywords throughout the whole Website’; while ‘Pay for Placement’ was most widely used Paid Search technique. In concurrence with the literature, measuring SEM performance remains a significant challenge with many firms unsure if they measure it effectively. An encouraging finding is that Irish SMEs adopt a positive ethical posture when undertaking SEM.

Cancer Internet search activity on a major search engine, United States 2001-2003.

PubMed

Cooper, Crystale Purvis; Mallon, Kenneth P; Leadbetter, Steven; Pollack, Lori A; Peipins, Lucy A

2005-07-01

To locate online health information, Internet users typically use a search engine, such as Yahoo! or Google. We studied Yahoo! search activity related to the 23 most common cancers in the United States. The objective was to test three potential correlates of Yahoo! cancer search activity--estimated cancer incidence, estimated cancer mortality, and the volume of cancer news coverage--and to study the periodicity of and peaks in Yahoo! cancer search activity. Yahoo! cancer search activity was obtained from a proprietary database called the Yahoo! Buzz Index. The American Cancer Society's estimates of cancer incidence and mortality were used. News reports associated with specific cancer types were identified using the LexisNexis "US News" database, which includes more than 400 national and regional newspapers and a variety of newswire services. The Yahoo! search activity associated with specific cancers correlated with their estimated incidence (Spearman rank correlation, rho = 0.50, P = .015), estimated mortality (rho = 0.66, P = .001), and volume of related news coverage (rho = 0.88, P < .001). Yahoo! cancer search activity tended to be higher on weekdays and during national cancer awareness months but lower during summer months; cancer news coverage also tended to follow these trends. Sharp increases in Yahoo! search activity scores from one day to the next appeared to be associated with increases in relevant news coverage. Media coverage appears to play a powerful role in prompting online searches for cancer information. Internet search activity offers an innovative tool for passive surveillance of health information-seeking behavior.

Adding a Visualization Feature to Web Search Engines: It’s Time

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wong, Pak C.

Since the first world wide web (WWW) search engine quietly entered our lives in 1994, the “information need” behind web searching has rapidly grown into a multi-billion dollar business that dominates the internet landscape, drives e-commerce traffic, propels global economy, and affects the lives of the whole human race. Today’s search engines are faster, smarter, and more powerful than those released just a few years ago. With the vast investment pouring into research and development by leading web technology providers and the intense emotion behind corporate slogans such as “win the web” or “take back the web,” I can’t helpmore » but ask why are we still using the very same “text-only” interface that was used 13 years ago to browse our search engine results pages (SERPs)? Why has the SERP interface technology lagged so far behind in the web evolution when the corresponding search technology has advanced so rapidly? In this article I explore some current SERP interface issues, suggest a simple but practical visual-based interface design approach, and argue why a visual approach can be a strong candidate for tomorrow’s SERP interface.« less

Querying archetype-based EHRs by search ontology-based XPath engineering.

PubMed

Kropf, Stefan; Uciteli, Alexandr; Schierle, Katrin; Krücken, Peter; Denecke, Kerstin; Herre, Heinrich

2018-05-11

Legacy data and new structured data can be stored in a standardized format as XML-based EHRs on XML databases. Querying documents on these databases is crucial for answering research questions. Instead of using free text searches, that lead to false positive results, the precision can be increased by constraining the search to certain parts of documents. A search ontology-based specification of queries on XML documents defines search concepts and relates them to parts in the XML document structure. Such query specification method is practically introduced and evaluated by applying concrete research questions formulated in natural language on a data collection for information retrieval purposes. The search is performed by search ontology-based XPath engineering that reuses ontologies and XML-related W3C standards. The key result is that the specification of research questions can be supported by the usage of search ontology-based XPath engineering. A deeper recognition of entities and a semantic understanding of the content is necessary for a further improvement of precision and recall. Key limitation is that the application of the introduced process requires skills in ontology and software development. In future, the time consuming ontology development could be overcome by implementing a new clinical role: the clinical ontologist. The introduced Search Ontology XML extension connects Search Terms to certain parts in XML documents and enables an ontology-based definition of queries. Search ontology-based XPath engineering can support research question answering by the specification of complex XPath expressions without deep syntax knowledge about XPaths.

Making Temporal Search More Central in Spatial Data Infrastructures

NASA Astrophysics Data System (ADS)

Corti, P.; Lewis, B.

2017-10-01

A temporally enabled Spatial Data Infrastructure (SDI) is a framework of geospatial data, metadata, users, and tools intended to provide an efficient and flexible way to use spatial information which includes the historical dimension. One of the key software components of an SDI is the catalogue service which is needed to discover, query, and manage the metadata. A search engine is a software system capable of supporting fast and reliable search, which may use any means necessary to get users to the resources they need quickly and efficiently. These techniques may include features such as full text search, natural language processing, weighted results, temporal search based on enrichment, visualization of patterns in distributions of results in time and space using temporal and spatial faceting, and many others. In this paper we will focus on the temporal aspects of search which include temporal enrichment using a time miner - a software engine able to search for date components within a larger block of text, the storage of time ranges in the search engine, handling historical dates, and the use of temporal histograms in the user interface to display the temporal distribution of search results.

Analysis of the Quality of Information Obtained About Uterine Artery Embolization From the Internet

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tavare, Aniket N.; Alsafi, Ali, E-mail: ali.alsafi03@imperial.ac.uk; Hamady, Mohamad S.

Purpose: The Internet is widely used by patients to source health care-related information. We sought to analyse the quality of information available on the Internet about uterine artery embolization (UAE). Materials and Methods: We searched three major search engines for the phrase 'uterine artery embolization' and compiled the top 50 results from each engine. After excluding repeated sites, scientific articles, and links to documents, the remaining 50 sites were assessed using the LIDA instrument, which scores sites across the domains of accessibility, usability, and reliability. The Fleisch reading ease score (FRES) was calculated for each of the sites. Finally, wemore » checked the country of origin and the presence of certification by the Health On the Net Foundation (HONcode) as well as their effect on LIDA and FRES scores.ResultsThe following mean scores were obtained: accessibility 48/60 (80%), usability 42/54 (77%), reliability 20/51 (39%), total LIDA 110/165 (67%), and FRES 42/100 (42%). Nine sites had HONcode certification, and this was associated with significantly greater (p < 0.05) reliability and total LIDA and FRES scores. When comparing sites between United Kingdom and United States, there was marked variation in the quality of results obtained when searching for information on UAE (p < 0.05). Conclusion: In general, sites were well designed and easy to use. However, many scored poorly on the reliability of their information either because they were produced in a non-evidence-based way or because they lacking currency. It is important that patients are guided to reputable, location-specific sources of information online, especially because prominent search engine rank does not guarantee reliability of information.« less

Relevance of Google-customized search engine vs. CISMeF quality-controlled health gateway.

PubMed

Gehanno, Jean-François; Kerdelhue, Gaétan; Sakji, Saoussen; Massari, Philippe; Joubert, Michel; Darmoni, Stéfan J

2009-01-01

CISMeF (acronym for Catalog and Index of French Language Health Resources on the Internet) is a quality-controlled health gateway conceived to catalog and index the most important and quality-controlled sources of institutional health information in French. The goal of this study is to compare the relevance of results provided by this gateway from a small set of documents selected and described by human experts to those provided by a search engine from a large set of automatically indexed and ranked resources. The Google-Customized search engine (CSE) was used. The evaluation was made using the 10th first results of 15 queries and two blinded physician evaluators. There was no significant difference between the relevance of information retrieval in CISMeF and Google CSE. In conclusion, automatic indexing does not lead to lower relevance than a manual MeSH indexing and may help to cope with the increasing number of references to be indexed in a controlled health quality gateway.

Internet information on colorectal cancer: commercialization and lack of quality control.

PubMed

Sajid, M S; Iftikhar, M; Monteiro, R S; Miles, A F W; Woods, W G A; Baig, M K

2008-05-01

The objective of this study was to evaluate the effectiveness of the internet as a source of information for colorectal cancer (CRC). Six of the most common search engines (Yahoo, Google, MSN search, Alta Vista, Excite and Lycos) were used for the search of the generic term 'CRC'. First 300 links were analysed and classified by information type, provider, readership and commercial orientation. The average time delay was 1.70 s before matches were located. A total of 3.2827 million matches on CRC were found using the six search engines ranging from 700 (Excite) to 1 417 000 (Lycos) websites. Approximately 50% of the links were based on information from textbooks or governmental websites. Commercial companies giving information about private hospitals and products provided over 50% of the websites on CRC. The distribution of target readers was uneven, although a majority of websites were delivering CRC information to public and patients. Readability of information was difficult to comprehend by the public. The internet is becoming an essential tool for disseminating information about CRC to consumers. Half of the links on CRC are commercially oriented, containing information on goods or private health services. Less than 1% information is being provided by professional societies. To provide relevant CRC information, key consensus criteria for evaluating healthcare-related websites have to be established. There is an urgent need for CRC information on the internet to be regulated through the establishment of government-funded organizations (e.g. NHS) or professional societies (e.g. ACPGBI).

Current Status of Atopic Dermatitis-Related Information Available on the Internet in South Korea

PubMed Central

Lee, Yong Jun; Kim, Hyun Jee; Yu, Dong Soo; Lee, Young Bok; Hahn, Hyung Jin

2016-01-01

Background Patients with atopic dermatitis (AD) often resort to the internet for disease-related information. We believe that dermatologists be informed about the current accessibility of information to patients and the potential for misleading patients into making poor treatment decisions. Objective The study was carried out in order to determine the nature of AD-related information available on the internet in Korea, and to identify any changes since our last survey in 2005. The quality of information offered and the involvement of medical doctors in certain websites were also investigated. Methods Taking into account the current search engine market share in Korea, we gathered all search results obtained from the three major search engines using the keyword 'atopy', and investigated the nature of the information retrieved. Results The search results showed less commercial sites than our previous study in 2005. There is a dramatic increase in the number of public bodies offering information about AD. In addition, the quality of information available online has improved since our last survey. Conclusion The phenomenon of 'commercial overcrowding' seems to have stabilized. As AD becomes a more social phenomenon, patients are better informed than ever before. However, the information available on the internet still requires to be accompanied by consultation by dermatologists. We believe that self-regulation using a format such as the Health on the Net Foundation's code of conduct (HONcode) may improve the quality of online information accessible to patients with AD in Korea. PMID:26848212

Regional Value Analysis at Threat Evaluation

DTIC Science & Technology

2014-06-01

targets based on information entropy and fuzzy optimization theory. in Industrial Engineering and Engineering Management (IEEM), 2011 IEEE...Assignment by Virtual Permutation and Tabu Search Heuristics. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 2010

Quality of Health Information on the Internet for Urolithiasis on the Google Search Engine.

PubMed

Chang, Dwayne T S; Abouassaly, Robert; Lawrentschuk, Nathan

2016-01-01

Purpose . To compare the quality of health information on the Internet for keywords related to urolithiasis, to assess for difference in information quality across four main Western languages, and to compare the source of sponsorship in these websites. Methods . Health On the Net (HON) Foundation principles were utilised to determine quality information. Fifteen keywords related to urolithiasis were searched on the Google search engine. The first 150 websites were assessed against the HON principles and the source of sponsorship determined. Results . A total of 8986 websites were analysed. A proportion of HON-accredited websites for individual search terms range between 2.5% and 12.0%. The first 50 websites were more likely to be HON-positive compared to websites 51-100 and 101-150. French websites searched were more likely to be HON-positive whereas German websites were less likely to be HON-positive than English websites. There was no statistically significant difference between the rate of HON-positive English and Spanish websites. The three main website sponsors were from government/educational sources (40.2%), followed by commercial (29.9%) and physician/surgeon sources (18.6%). Conclusions . Health information on most urolithiasis websites was not validated. Nearly one-third of websites in this study have commercial sponsorship. Doctors should recognise the need for more reliable health websites for their patients.

BioTCM-SE: a semantic search engine for the information retrieval of modern biology and traditional Chinese medicine.

PubMed

Chen, Xi; Chen, Huajun; Bi, Xuan; Gu, Peiqin; Chen, Jiaoyan; Wu, Zhaohui

2014-01-01

Understanding the functional mechanisms of the complex biological system as a whole is drawing more and more attention in global health care management. Traditional Chinese Medicine (TCM), essentially different from Western Medicine (WM), is gaining increasing attention due to its emphasis on individual wellness and natural herbal medicine, which satisfies the goal of integrative medicine. However, with the explosive growth of biomedical data on the Web, biomedical researchers are now confronted with the problem of large-scale data analysis and data query. Besides that, biomedical data also has a wide coverage which usually comes from multiple heterogeneous data sources and has different taxonomies, making it hard to integrate and query the big biomedical data. Embedded with domain knowledge from different disciplines all regarding human biological systems, the heterogeneous data repositories are implicitly connected by human expert knowledge. Traditional search engines cannot provide accurate and comprehensive search results for the semantically associated knowledge since they only support keywords-based searches. In this paper, we present BioTCM-SE, a semantic search engine for the information retrieval of modern biology and TCM, which provides biologists with a comprehensive and accurate associated knowledge query platform to greatly facilitate the implicit knowledge discovery between WM and TCM.

BioTCM-SE: A Semantic Search Engine for the Information Retrieval of Modern Biology and Traditional Chinese Medicine

PubMed Central

Chen, Xi; Chen, Huajun; Bi, Xuan; Gu, Peiqin; Chen, Jiaoyan; Wu, Zhaohui

2014-01-01

Understanding the functional mechanisms of the complex biological system as a whole is drawing more and more attention in global health care management. Traditional Chinese Medicine (TCM), essentially different from Western Medicine (WM), is gaining increasing attention due to its emphasis on individual wellness and natural herbal medicine, which satisfies the goal of integrative medicine. However, with the explosive growth of biomedical data on the Web, biomedical researchers are now confronted with the problem of large-scale data analysis and data query. Besides that, biomedical data also has a wide coverage which usually comes from multiple heterogeneous data sources and has different taxonomies, making it hard to integrate and query the big biomedical data. Embedded with domain knowledge from different disciplines all regarding human biological systems, the heterogeneous data repositories are implicitly connected by human expert knowledge. Traditional search engines cannot provide accurate and comprehensive search results for the semantically associated knowledge since they only support keywords-based searches. In this paper, we present BioTCM-SE, a semantic search engine for the information retrieval of modern biology and TCM, which provides biologists with a comprehensive and accurate associated knowledge query platform to greatly facilitate the implicit knowledge discovery between WM and TCM. PMID:24772189

Is Internet search better than structured instruction for web-based health education?

PubMed

Finkelstein, Joseph; Bedra, McKenzie

2013-01-01

Internet provides access to vast amounts of comprehensive information regarding any health-related subject. Patients increasingly use this information for health education using a search engine to identify education materials. An alternative approach of health education via Internet is based on utilizing a verified web site which provides structured interactive education guided by adult learning theories. Comparison of these two approaches in older patients was not performed systematically. The aim of this study was to compare the efficacy of a web-based computer-assisted education (CO-ED) system versus searching the Internet for learning about hypertension. Sixty hypertensive older adults (age 45+) were randomized into control or intervention groups. The control patients spent 30 to 40 minutes searching the Internet using a search engine for information about hypertension. The intervention patients spent 30 to 40 minutes using the CO-ED system, which provided computer-assisted instruction about major hypertension topics. Analysis of pre- and post- knowledge scores indicated a significant improvement among CO-ED users (14.6%) as opposed to Internet users (2%). Additionally, patients using the CO-ED program rated their learning experience more positively than those using the Internet.

Flexible patient information search and retrieval framework: pilot implementation

NASA Astrophysics Data System (ADS)

Erdal, Selnur; Catalyurek, Umit V.; Saltz, Joel; Kamal, Jyoti; Gurcan, Metin N.

2007-03-01

Medical centers collect and store significant amount of valuable data pertaining to patients' visit in the form of medical free-text. In addition, standardized diagnosis codes (International Classification of Diseases, Ninth Revision, Clinical Modification: ICD9-CM) related to those dictated reports are usually available. In this work, we have created a framework where image searches could be initiated through a combination of free-text reports as well as ICD9 codes. This framework enables more comprehensive search on existing large sets of patient data in a systematic way. The free text search is enriched by computer-aided inclusion of additional search terms enhanced by a thesaurus. This combination of enriched search allows users to access to a larger set of relevant results from a patient-centric PACS in a simpler way. Therefore, such framework is of particular use in tasks such as gathering images for desired patient populations, building disease models, and so on. As the motivating application of our framework, we implemented a search engine. This search engine processed two years of patient data from the OSU Medical Center's Information Warehouse and identified lung nodule location information using a combination of UMLS Meta-Thesaurus enhanced text report searches along with ICD9 code searches on patients that have been discharged. Five different queries with various ICD9 codes involving lung cancer were carried out on 172552 cases. Each search was completed under a minute on average per ICD9 code and the inclusion of UMLS thesaurus increased the number of relevant cases by 45% on average.

Electronic Collection Management and Electronic Information Services

DTIC Science & Technology

2004-12-01

federated search tools are still being perfected with much debate surrounding their use. Encouragingly, as the federated search tools have evolved...institutional repositories to be included in a federated search process, libraries would have to harvest the metadata from the repositories and then make...providers in Library High Tech News. At this time, federated search engines serve some user groups better than others. Undergraduate students are well

Searching for Twitter Posts by Location

DTIC Science & Technology

2015-09-27

Searching for Twitter Posts by Location Ariana Minot Harvard University School of Engineering and Applied Sciences Cambridge, MA, USA minot...fas.harvard.edu Andrew Heier, Davis King, Olga Simek, Nick Stanisha MIT Lincoln Laboratory Lexington, MA, USA ABSTRACT The microblogging service Twitter is an...increasingly popular platform for sharing information worldwide. This motivates the potential to mine information from Twitter , which can serve as a

Searching for Twitter Posts by Location

DTIC Science & Technology

2015-09-27

Searching for Twitter Posts by Location Ariana Minot Harvard University School of Engineering and Applied Sciences Cambridge, MA, USA minot...fas.harvard.edu Andrew Heier, Davis King, Olga Simek MIT Lincoln Laboratory Lexington, MA, USA ABSTRACT The microblogging service Twitter is an increasingly...popular platform for sharing information worldwide. This motivates the potential to mine information from Twitter , which can serve as a valuable

Speeding on the Information Superhighway: Strategies for Saving Time on the Web.

ERIC Educational Resources Information Center

Colaric, Susan M.; Carr-Chellman, Alison A.

2000-01-01

Outlines ways to make online searching more efficient. Highlights include starting with printed materials; online reference libraries; subject directories such as Yahoo; search engines; evaluating Web sites, including reliability; bookmarking helpful sites; and using links. (LRW)

Privacy Perspectives for Online Searchers: Confidentiality with Confidence?

ERIC Educational Resources Information Center

Duberman, Josh; Beaudet, Michael

2000-01-01

Presents issues and questions involved in online privacy from the information professional's perspective. Topics include consumer concerns; query confidentiality; securing computers from intrusion; electronic mail; search engines; patents and intellectual property searches; government's role; Internet service providers; database mining; user…

Through the Google Goggles: Sociopolitical Bias in Search Engine Design

NASA Astrophysics Data System (ADS)

Diaz, A.

Search engines like Google are essential to navigating the Web's endless supply of news, political information, and citizen discourse. The mechanisms and conditions under which search results are selected should therefore be of considerable interest to media scholars, political theorists, and citizens alike. In this chapter, I adopt a "deliberative" ideal for search engines and examine whether Google exhibits the "same old" media biases of mainstreaming, hypercommercialism, and industry consolidation. In the end, serious objections to Google are raised: Google may favor popularity over richness; it provides advertising that competes directly with "editorial" content; it so overwhelmingly dominates the industry that users seldom get a second opinion, and this is unlikely to change. Ultimately, however, the results of this analysis may speak less about Google than about contradictions in the deliberative ideal and the so-called "inherently democratic" nature of the Web.

Impact of Commercial Search Engines and International Databases on Engineering Teaching and Research

ERIC Educational Resources Information Center

Chanson, Hubert

2007-01-01

For the last three decades, the engineering higher education and professional environments have been completely transformed by the "electronic/digital information revolution" that has included the introduction of personal computer, the development of email and world wide web, and broadband Internet connections at home. Herein the writer compares…

A Study of HTML Title Tag Creation Behavior of Academic Web Sites

ERIC Educational Resources Information Center

Noruzi, Alireza

2007-01-01

The HTML title tag information should identify and describe exactly what a Web page contains. This paper analyzes the "Title element" and raises a significant question: "Why is the title tag important?" Search engines base search results and page rankings on certain criteria. Among the most important criteria is the presence of the search keywords…

What Friends Are For: Collaborative Intelligence Analysis and Search

DTIC Science & Technology

2014-06-01

14. SUBJECT TERMS Intelligence Community, information retrieval, recommender systems , search engines, social networks, user profiling, Lucene...improvements over existing search systems . The improvements are shown to be robust to high levels of human error and low similarity between users ...precision NOLH nearly orthogonal Latin hypercubes P@ precision at documents RS recommender systems TREC Text REtrieval Conference USM user

Terrorism Information Sharing and the Nationwide Suspicious Activity Report Initiative: Background and Issues for Congress

DTIC Science & Technology

2009-11-05

December_23_2008_Final.pdf. 46 Ibid. 47 Federated search is the process of performing a simultaneous real-time search of multiple diverse and distributed...sources from a single search page, with the federated search engine acting as intermediary. See Sol Lederman, “A Federated Search Primer, Part II...at http://www.altsearchengines.com/2009/01/12/a- federated - search -primer-part-ii-of- iii/ 48 Examples of this controversy can be found at Alice

Decision making in family medicine: randomized trial of the effects of the InfoClinique and Trip database search engines.

PubMed

Labrecque, Michel; Ratté, Stéphane; Frémont, Pierre; Cauchon, Michel; Ouellet, Jérôme; Hogg, William; McGowan, Jessie; Gagnon, Marie-Pierre; Njoya, Merlin; Légaré, France

2013-10-01

To compare the ability of users of 2 medical search engines, InfoClinique and the Trip database, to provide correct answers to clinical questions and to explore the perceived effects of the tools on the clinical decision-making process. Randomized trial. Three family medicine units of the family medicine program of the Faculty of Medicine at Laval University in Quebec city, Que. Fifteen second-year family medicine residents. Residents generated 30 structured questions about therapy or preventive treatment (2 questions per resident) based on clinical encounters. Using an Internet platform designed for the trial, each resident answered 20 of these questions (their own 2, plus 18 of the questions formulated by other residents, selected randomly) before and after searching for information with 1 of the 2 search engines. For each question, 5 residents were randomly assigned to begin their search with InfoClinique and 5 with the Trip database. The ability of residents to provide correct answers to clinical questions using the search engines, as determined by third-party evaluation. After answering each question, participants completed a questionnaire to assess their perception of the engine's effect on the decision-making process in clinical practice. Of 300 possible pairs of answers (1 answer before and 1 after the initial search), 254 (85%) were produced by 14 residents. Of these, 132 (52%) and 122 (48%) pairs of answers concerned questions that had been assigned an initial search with InfoClinique and the Trip database, respectively. Both engines produced an important and similar absolute increase in the proportion of correct answers after searching (26% to 62% for InfoClinique, for an increase of 36%; 24% to 63% for the Trip database, for an increase of 39%; P = .68). For all 30 clinical questions, at least 1 resident produced the correct answer after searching with either search engine. The mean (SD) time of the initial search for each question was 23.5 (7.6) minutes with InfoClinique and 22.3 (7.8) minutes with the Trip database (P = .30). Participants' perceptions of each engine's effect on the decision-making process were very positive and similar for both search engines. Family medicine residents' ability to provide correct answers to clinical questions increased dramatically and similarly with the use of both InfoClinique and the Trip database. These tools have strong potential to increase the quality of medical care.

A novel architecture for information retrieval system based on semantic web

NASA Astrophysics Data System (ADS)

Zhang, Hui

2011-12-01

Nowadays, the web has enabled an explosive growth of information sharing (there are currently over 4 billion pages covering most areas of human endeavor) so that the web has faced a new challenge of information overhead. The challenge that is now before us is not only to help people locating relevant information precisely but also to access and aggregate a variety of information from different resources automatically. Current web document are in human-oriented formats and they are suitable for the presentation, but machines cannot understand the meaning of document. To address this issue, Berners-Lee proposed a concept of semantic web. With semantic web technology, web information can be understood and processed by machine. It provides new possibilities for automatic web information processing. A main problem of semantic web information retrieval is that when these is not enough knowledge to such information retrieval system, the system will return to a large of no sense result to uses due to a huge amount of information results. In this paper, we present the architecture of information based on semantic web. In addiction, our systems employ the inference Engine to check whether the query should pose to Keyword-based Search Engine or should pose to the Semantic Search Engine.

JournalMap: Research. Reimagined.

USDA-ARS?s Scientific Manuscript database

JournalMap is a scientific literature search engine that empowers you to find relevant research based on location and biophysical variables as well as traditional keyword searches. All publications are geotagged based on reported location information and plotted on a world map showing where the rese...

Herbal cancer cures on the Web: noncompliance with The Dietary Supplement Health and Education Act.

PubMed

Bonakdar, Robert Alan

2002-01-01

A significant portion of the US population uses the Internet to obtain health information; nearly half of Internet users admit that this information influences decisions about their health care and medical treatments. Concurrently, approximately one third of the population uses herbal supplements; a higher percentage is noted for subgroups of cancer patients. The Dietary Supplement Health and Education Act (DSHEA) of 1994 contained regulatory standards for herbal supplements, including restricting any claims for disease prevention, treatment, or cure. This study determined the degree of compliance with the DSHEA, as applied to Internet sites focusing on the subject of herbal supplements and cancer. Internet searches were conducted using six popular search engines and three master search engines in October-December 2000 using the linked terms herb and cancer. The Internet sites identified through this search process were examined for categories of information including claims regarding prevention, treatment, or cure; commercial nature; DSHEA and physician consultation warnings; country of origin; and use of research and testimonials. Additionally, commercial sites were reviewed to identify tactics used to promote products or services. Each of the six primary search engines provided between 11,730 and 58,605 matches for herb and cancer. Further cross matching with the three master search engines identified 70 non-repeating sites that appeared on all three master search engines. Of these 70 sites, nine were irrelevant matches or no longer functioning. Of the remaining 61, 34 (54%) were commercial sites (CS) and 27 (42.8%) were noncommercial sites (NCS). Of the CS surveyed, prevention, treatment, and cure were discussed 92%, 89%, and 58%, respectively. CS provided testimonials, physician consultation recommendations, and DSHEA warnings 89%, 38.8%, and 36.1% of the time, respectively. CS provided research with references 30.6% of the time versus 92.6% of the time in NCS. All international commercial sites surveyed claimed herbal cancer cures. Although the DSHEA was enacted and amended to decrease unlawful claims of disease prevention, treatment, and cure, the results of this study indicate that such claims are prevalent on commercial Internet sites. A majority of sites claim cancer cures through herbal supplementation with little regardfor current regulations, and such claims were more common on sites operated from outside the United States.

Internet search term affects the quality and accuracy of online information about developmental hip dysplasia.

PubMed

Fabricant, Peter D; Dy, Christopher J; Patel, Ronak M; Blanco, John S; Doyle, Shevaun M

2013-06-01

The recent emphasis on shared decision-making has increased the role of the Internet as a readily accessible medical reference source for patients and families. However, the lack of professional review creates concern over the quality, accuracy, and readability of medical information available to patients on the Internet. Three Internet search engines (Google, Yahoo, and Bing) were evaluated prospectively using 3 difference search terms of varying sophistication ("congenital hip dislocation," "developmental dysplasia of the hip," and "hip dysplasia in children"). Sixty-three unique Web sites were evaluated by each of 3 surgeons (2 fellowship-trained pediatric orthopaedic attendings and 1 orthopaedic chief resident) for quality and accuracy using a set of scoring criteria based on the AAOS/POSNA patient education Web site. The readability (literacy grade level) of each Web site was assessed using the Fleisch-Kincaid score. There were significant differences noted in quality, accuracy, and readability of information depending on the search term used. The search term "developmental dysplasia of the hip" provided higher quality and accuracy compared with the search term "congenital hip dislocation." Of the 63 total Web sites, 1 (1.6%) was below the sixth grade reading level recommended by the NIH for health education materials and 8 (12.7%) Web sites were below the average American reading level (eighth grade). The quality and accuracy of information available on the Internet regarding developmental hip dysplasia significantly varied with the search term used. Patients seeking information about DDH on the Internet may not understand the materials found because nearly all of the Web sites are written at a level above that recommended for publically distributed health information. Physicians should advise their patients to search for information using the term "developmental dysplasia of the hip" or, better yet, should refer patients to Web sites that they have personally reviewed for content and clarity. Orthopaedic surgeons, professional societies, and search engines should undertake efforts to ensure that patients have access to information about DDH that is both accurate and easily understandable.

Analysis of ehealth search perspectives among female college students in the health professions using Q methodology.

PubMed

Stellefson, Michael; Hanik, Bruce; Chaney, J Don; Tennant, Bethany

2012-04-27

The current "Millennial Generation" of college students majoring in the health professions has unprecedented access to the Internet. Although some research has been initiated among medical professionals to investigate the cognitive basis for health information searches on the Internet, little is known about Internet search practices among health and medical professional students. To systematically identify health professional college student perspectives of personal eHealth search practices. Q methodology was used to examine subjective perspectives regarding personal eHealth search practices among allied health students majoring in a health education degree program. Thirteen (n = 13) undergraduate students were interviewed about their attitudes and experiences conducting eHealth searches. From the interviews, 36 statements were used in a structured ranking task to identify clusters and determine which specific perceptions of eHealth search practices discriminated students into different groups. Scores on an objective measure of eHealth literacy were used to help categorize participant perspectives. Q-technique factor analysis of the rankings identified 3 clusters of respondents with differing views on eHealth searches that generally coincided with participants' objective eHealth literacy scores. The proficient resourceful students (pattern/structure coefficient range 0.56-0.80) described themselves as using multiple resources to obtain eHealth information, as opposed to simply relying on Internet search engines. The intermediate reluctant students (pattern/structure coefficient range 0.75-0.90) reported engaging only Internet search engines to locate eHealth information, citing undeveloped evaluation skills when considering sources of information located on the Internet. Both groups of advanced students reported not knowing how to use Boolean operators to conduct Internet health searches. The basic hubristic students (pattern/structure coefficient range 0.54-0.76) described themselves as independent procrastinators when searching for eHealth information. Interestingly, basic hubristic students represented the only cluster of participants to describe themselves as (1) having received instruction on using the Internet to conduct eHealth searches, and (2) possessing relative confidence when completing a search task. Subjective perspectives of eHealth search practices differed among students possessing different levels of eHealth literacy. These multiple perspectives present both challenges and opportunities for empowering college students in the health professions to use the Internet to obtain and appraise evidence-based health information using the Internet.

Analysis of eHealth Search Perspectives Among Female College Students in the Health Professions Using Q Methodology

PubMed Central

Hanik, Bruce; Chaney, J. Don; Tennant, Bethany

2012-01-01

Background The current “Millennial Generation” of college students majoring in the health professions has unprecedented access to the Internet. Although some research has been initiated among medical professionals to investigate the cognitive basis for health information searches on the Internet, little is known about Internet search practices among health and medical professional students. Objective To systematically identify health professional college student perspectives of personal eHealth search practices. Methods Q methodology was used to examine subjective perspectives regarding personal eHealth search practices among allied health students majoring in a health education degree program. Thirteen (n = 13) undergraduate students were interviewed about their attitudes and experiences conducting eHealth searches. From the interviews, 36 statements were used in a structured ranking task to identify clusters and determine which specific perceptions of eHealth search practices discriminated students into different groups. Scores on an objective measure of eHealth literacy were used to help categorize participant perspectives. Results Q-technique factor analysis of the rankings identified 3 clusters of respondents with differing views on eHealth searches that generally coincided with participants’ objective eHealth literacy scores. The proficient resourceful students (pattern/structure coefficient range 0.56-0.80) described themselves as using multiple resources to obtain eHealth information, as opposed to simply relying on Internet search engines. The intermediate reluctant students (pattern/structure coefficient range 0.75-0.90) reported engaging only Internet search engines to locate eHealth information, citing undeveloped evaluation skills when considering sources of information located on the Internet. Both groups of advanced students reported not knowing how to use Boolean operators to conduct Internet health searches. The basic hubristic students (pattern/structure coefficient range 0.54-0.76) described themselves as independent procrastinators when searching for eHealth information. Interestingly, basic hubristic students represented the only cluster of participants to describe themselves as (1) having received instruction on using the Internet to conduct eHealth searches, and (2) possessing relative confidence when completing a search task. Conclusions Subjective perspectives of eHealth search practices differed among students possessing different levels of eHealth literacy. These multiple perspectives present both challenges and opportunities for empowering college students in the health professions to use the Internet to obtain and appraise evidence-based health information using the Internet. PMID:22543437

A Method for Search Engine Selection using Thesaurus for Selective Meta-Search Engine

NASA Astrophysics Data System (ADS)

Goto, Shoji; Ozono, Tadachika; Shintani, Toramatsu

In this paper, we propose a new method for selecting search engines on WWW for selective meta-search engine. In selective meta-search engine, a method is needed that would enable selecting appropriate search engines for users' queries. Most existing methods use statistical data such as document frequency. These methods may select inappropriate search engines if a query contains polysemous words. In this paper, we describe an search engine selection method based on thesaurus. In our method, a thesaurus is constructed from documents in a search engine and is used as a source description of the search engine. The form of a particular thesaurus depends on the documents used for its construction. Our method enables search engine selection by considering relationship between terms and overcomes the problems caused by polysemous words. Further, our method does not have a centralized broker maintaining data, such as document frequency for all search engines. As a result, it is easy to add a new search engine, and meta-search engines become more scalable with our method compared to other existing methods.

How Adolescents Search for and Appraise Online Health Information: A Systematic Review.

PubMed

Freeman, Jaimie L; Caldwell, Patrina H Y; Bennett, Patricia A; Scott, Karen M

2018-04-01

To conduct a systematic review of the evidence concerning whether and how adolescents search for online health information and the extent to which they appraise the credibility of information they retrieve. A systematic search of online databases (MEDLINE, EMBASE, PsycINFO, ERIC) was performed. Reference lists of included papers were searched manually for additional articles. Included were studies on whether and how adolescents searched for and appraised online health information, where adolescent participants were aged 13-18 years. Thematic analysis was used to synthesize the findings. Thirty-four studies met the inclusion criteria. In line with the research questions, 2 key concepts were identified within the papers: whether and how adolescents search for online health information, and the extent to which adolescents appraise online health information. Four themes were identified regarding whether and how adolescents search for online health information: use of search engines, difficulties in selecting appropriate search strings, barriers to searching, and absence of searching. Four themes emerged concerning the extent to which adolescents appraise the credibility of online health information: evaluation based on Web site name and reputation, evaluation based on first impression of Web site, evaluation of Web site content, and absence of a sophisticated appraisal strategy. Adolescents are aware of the varying quality of online health information. Strategies used by individuals for searching and appraising online health information differ in their sophistication. It is important to develop resources to enhance search and appraisal skills and to collaborate with adolescents to ensure that such resources are appropriate for them. Copyright © 2017 Elsevier Inc. All rights reserved.

Development of a One-Stop Data Search and Discovery Engine using Ontologies for Semantic Mappings (HydroSeek)

NASA Astrophysics Data System (ADS)

Piasecki, M.; Beran, B.

2007-12-01

Search engines have changed the way we see the Internet. The ability to find the information by just typing in keywords was a big contribution to the overall web experience. While the conventional search engine methodology worked well for textual documents, locating scientific data remains a problem since they are stored in databases not readily accessible by search engine bots. Considering different temporal, spatial and thematic coverage of different databases, especially for interdisciplinary research it is typically necessary to work with multiple data sources. These sources can be federal agencies which generally offer national coverage or regional sources which cover a smaller area with higher detail. However for a given geographic area of interest there often exists more than one database with relevant data. Thus being able to query multiple databases simultaneously is a desirable feature that would be tremendously useful for scientists. Development of such a search engine requires dealing with various heterogeneity issues. In scientific databases, systems often impose controlled vocabularies which ensure that they are generally homogeneous within themselves but are semantically heterogeneous when moving between different databases. This defines the boundaries of possible semantic related problems making it easier to solve than with the conventional search engines that deal with free text. We have developed a search engine that enables querying multiple data sources simultaneously and returns data in a standardized output despite the aforementioned heterogeneity issues between the underlying systems. This application relies mainly on metadata catalogs or indexing databases, ontologies and webservices with virtual globe and AJAX technologies for the graphical user interface. Users can trigger a search of dozens of different parameters over hundreds of thousands of stations from multiple agencies by providing a keyword, a spatial extent, i.e. a bounding box, and a temporal bracket. As part of this development we have also added an environment that allows users to do some of the semantic tagging, i.e. the linkage of a variable name (which can be anything they desire) to defined concepts in the ontology structure which in turn provides the backbone of the search engine.

A tutorial on information retrieval: basic terms and concepts

PubMed Central

Zhou, Wei; Smalheiser, Neil R; Yu, Clement

2006-01-01

This informal tutorial is intended for investigators and students who would like to understand the workings of information retrieval systems, including the most frequently used search engines: PubMed and Google. Having a basic knowledge of the terms and concepts of information retrieval should improve the efficiency and productivity of searches. As well, this knowledge is needed in order to follow current research efforts in biomedical information retrieval and text mining that are developing new systems not only for finding documents on a given topic, but extracting and integrating knowledge across documents. PMID:16722601

Location-based Web Search

NASA Astrophysics Data System (ADS)

Ahlers, Dirk; Boll, Susanne

In recent years, the relation of Web information to a physical location has gained much attention. However, Web content today often carries only an implicit relation to a location. In this chapter, we present a novel location-based search engine that automatically derives spatial context from unstructured Web resources and allows for location-based search: our focused crawler applies heuristics to crawl and analyze Web pages that have a high probability of carrying a spatial relation to a certain region or place; the location extractor identifies the actual location information from the pages; our indexer assigns a geo-context to the pages and makes them available for a later spatial Web search. We illustrate the usage of our spatial Web search for location-based applications that provide information not only right-in-time but also right-on-the-spot.

Bat-Inspired Algorithm Based Query Expansion for Medical Web Information Retrieval.

PubMed

Khennak, Ilyes; Drias, Habiba

2017-02-01

With the increasing amount of medical data available on the Web, looking for health information has become one of the most widely searched topics on the Internet. Patients and people of several backgrounds are now using Web search engines to acquire medical information, including information about a specific disease, medical treatment or professional advice. Nonetheless, due to a lack of medical knowledge, many laypeople have difficulties in forming appropriate queries to articulate their inquiries, which deem their search queries to be imprecise due the use of unclear keywords. The use of these ambiguous and vague queries to describe the patients' needs has resulted in a failure of Web search engines to retrieve accurate and relevant information. One of the most natural and promising method to overcome this drawback is Query Expansion. In this paper, an original approach based on Bat Algorithm is proposed to improve the retrieval effectiveness of query expansion in medical field. In contrast to the existing literature, the proposed approach uses Bat Algorithm to find the best expanded query among a set of expanded query candidates, while maintaining low computational complexity. Moreover, this new approach allows the determination of the length of the expanded query empirically. Numerical results on MEDLINE, the on-line medical information database, show that the proposed approach is more effective and efficient compared to the baseline.

Web Feet Guide to Search Engines: Finding It on the Net.

ERIC Educational Resources Information Center

Web Feet, 2001

2001-01-01

This guide to search engines for the World Wide Web discusses selecting the right search engine; interpreting search results; major search engines; online tutorials and guides; search engines for kids; specialized search tools for various subjects; and other specialized engines and gateways. (LRW)

Comparison of PubMed and Google Scholar literature searches.

PubMed

Anders, Michael E; Evans, Dennis P

2010-05-01

Literature searches are essential to evidence-based respiratory care. To conduct literature searches, respiratory therapists rely on search engines to retrieve information, but there is a dearth of literature on the comparative efficiencies of search engines for researching clinical questions in respiratory care. To compare PubMed and Google Scholar search results for clinical topics in respiratory care to that of a benchmark. We performed literature searches with PubMed and Google Scholar, on 3 clinical topics. In PubMed we used the Clinical Queries search filter. In Google Scholar we used the search filters in the Advanced Scholar Search option. We used the reference list of a related Cochrane Collaboration evidence-based systematic review as the benchmark for each of the search results. We calculated recall (sensitivity) and precision (positive predictive value) with 2 x 2 contingency tables. We compared the results with the chi-square test of independence and Fisher's exact test. PubMed and Google Scholar had similar recall for both overall search results (71% vs 69%) and full-text results (43% vs 51%). PubMed had better precision than Google Scholar for both overall search results (13% vs 0.07%, P < .001) and full-text results (8% vs 0.05%, P < .001). Our results suggest that PubMed searches with the Clinical Queries filter are more precise than with the Advanced Scholar Search in Google Scholar for respiratory care topics. PubMed appears to be more practical to conduct efficient, valid searches for informing evidence-based patient-care protocols, for guiding the care of individual patients, and for educational purposes.

What is the prevalence of health-related searches on the World Wide Web? Qualitative and quantitative analysis of search engine queries on the Internet

PubMed Central

Eysenbach, G.; Kohler, Ch.

2003-01-01

While health information is often said to be the most sought after information on the web, empirical data on the actual frequency of health-related searches on the web are missing. In the present study we aimed to determine the prevalence of health-related searches on the web by analyzing search terms entered by people into popular search engines. We also made some preliminary attempts in qualitatively describing and classifying these searches. Occasional difficulties in determining what constitutes a “health-related” search led us to propose and validate a simple method to automatically classify a search string as “health-related”. This method is based on determining the proportion of pages on the web containing the search string and the word “health”, as a proportion of the total number of pages with the search string alone. Using human codings as gold standard we plotted a ROC curve and determined empirically that if this “co-occurance rate” is larger than 35%, the search string can be said to be health-related (sensitivity: 85.2%, specificity 80.4%). The results of our “human” codings of search queries determined that about 4.5% of all searches are “health-related”. We estimate that globally a minimum of 6.75 Million health-related searches are being conducted on the web every day, which is roughly the same number of searches that have been conducted on the NLM Medlars system in 1996 in a full year. PMID:14728167

The future of bibliographic standards in a networked information environment

NASA Technical Reports Server (NTRS)

1997-01-01

The main mission of the CENDI Cataloging Working Group is to provide guidelines for cataloging practices that support the sharing of database records among the CENDI agencies, and that incorporate principles based on cost effectiveness and efficiency. Recent efforts include the extension of COSATI Guidelines for the Cataloging of Technical Reports to include non-print materials, and the mapping of each agency's export file structure to USMARC. Of primary importance is the impact of electronic documents and the distributed nature of the networked information environment. Topics discussed during the workshop include the following: Trade-offs in Cataloging and Indexing Internet Information; The Impact on Current and Future Standards; A Look at WWW Metadata Initiatives; Standards for Electronic Journals; The Present and Future Search Engines; The Roles for Text Analysis Software; Advanced Search Engine Meets Metathesaurus; Locator Schemes for Internet Resources; Identifying and Cataloging Web Document Types; In Search of a New Bibliographic Record. The videos in this set include viewgraphs of charts and related materials of the workshop.

Whiplash Syndrome Reloaded: Digital Echoes of Whiplash Syndrome in the European Internet Search Engine Context

PubMed Central

2017-01-01

Background In many Western countries, after a motor vehicle collision, those involved seek health care for the assessment of injuries and for insurance documentation purposes. In contrast, in many less wealthy countries, there may be limited access to care and no insurance or compensation system. Objective The purpose of this infodemiology study was to investigate the global pattern of evolving Internet usage in countries with and without insurance and the corresponding compensation systems for whiplash injury. Methods We used the Internet search engine analytics via Google Trends to study the health information-seeking behavior concerning whiplash injury at national population levels in Europe. Results We found that the search for “whiplash” is strikingly and consistently often associated with the search for “compensation” in countries or cultures with a tort system. Frequent or traumatic painful injuries; diseases or disorders such as arthritis, headache, radius, and hip fracture; depressive disorders; and fibromyalgia were not associated similarly with searches on “compensation.” Conclusions In this study, we present evidence from the evolving viewpoint of naturalistic Internet search engine analytics that the expectations for receiving compensation may influence Internet search behavior in relation to whiplash injury. PMID:28347974

HBVPathDB: a database of HBV infection-related molecular interaction network.

PubMed

Zhang, Yi; Bo, Xiao-Chen; Yang, Jing; Wang, Sheng-Qi

2005-03-21

To describe molecules or genes interaction between hepatitis B viruses (HBV) and host, for understanding how virus' and host's genes and molecules are networked to form a biological system and for perceiving mechanism of HBV infection. The knowledge of HBV infection-related reactions was organized into various kinds of pathways with carefully drawn graphs in HBVPathDB. Pathway information is stored with relational database management system (DBMS), which is currently the most efficient way to manage large amounts of data and query is implemented with powerful Structured Query Language (SQL). The search engine is written using Personal Home Page (PHP) with SQL embedded and web retrieval interface is developed for searching with Hypertext Markup Language (HTML). We present the first version of HBVPathDB, which is a HBV infection-related molecular interaction network database composed of 306 pathways with 1 050 molecules involved. With carefully drawn graphs, pathway information stored in HBVPathDB can be browsed in an intuitive way. We develop an easy-to-use interface for flexible accesses to the details of database. Convenient software is implemented to query and browse the pathway information of HBVPathDB. Four search page layout options-category search, gene search, description search, unitized search-are supported by the search engine of the database. The database is freely available at http://www.bio-inf.net/HBVPathDB/HBV/. The conventional perspective HBVPathDB have already contained a considerable amount of pathway information with HBV infection related, which is suitable for in-depth analysis of molecular interaction network of virus and host. HBVPathDB integrates pathway data-sets with convenient software for query, browsing, visualization, that provides users more opportunity to identify regulatory key molecules as potential drug targets and to explore the possible mechanism of HBV infection based on gene expression datasets.

CyberConnect: Use the Internet with Big6[R] Skills To Achieve Standards.

ERIC Educational Resources Information Center

Murray, Janet

2003-01-01

Describes the use of Big6 strategies in guiding student research projects as part of a cooperative program between teachers and the school librarian. Topics include information seeking strategies; evaluating information sources; locating information using search engines; analyzing information sources; and achieving information literacy and…

Development of a Google-based search engine for data mining radiology reports.

PubMed

Erinjeri, Joseph P; Picus, Daniel; Prior, Fred W; Rubin, David A; Koppel, Paul

2009-08-01

The aim of this study is to develop a secure, Google-based data-mining tool for radiology reports using free and open source technologies and to explore its use within an academic radiology department. A Health Insurance Portability and Accountability Act (HIPAA)-compliant data repository, search engine and user interface were created to facilitate treatment, operations, and reviews preparatory to research. The Institutional Review Board waived review of the project, and informed consent was not required. Comprising 7.9 GB of disk space, 2.9 million text reports were downloaded from our radiology information system to a fileserver. Extensible markup language (XML) representations of the reports were indexed using Google Desktop Enterprise search engine software. A hypertext markup language (HTML) form allowed users to submit queries to Google Desktop, and Google's XML response was interpreted by a practical extraction and report language (PERL) script, presenting ranked results in a web browser window. The query, reason for search, results, and documents visited were logged to maintain HIPAA compliance. Indexing averaged approximately 25,000 reports per hour. Keyword search of a common term like "pneumothorax" yielded the first ten most relevant results of 705,550 total results in 1.36 s. Keyword search of a rare term like "hemangioendothelioma" yielded the first ten most relevant results of 167 total results in 0.23 s; retrieval of all 167 results took 0.26 s. Data mining tools for radiology reports will improve the productivity of academic radiologists in clinical, educational, research, and administrative tasks. By leveraging existing knowledge of Google's interface, radiologists can quickly perform useful searches.

'Doctor Google' ending the diagnostic odyssey in lysosomal storage disorders: parents using internet search engines as an efficient diagnostic strategy in rare diseases.

PubMed

Bouwman, Machtelt G; Teunissen, Quirine G A; Wijburg, Frits A; Linthorst, Gabor E

2010-08-01

The expansion of the internet has resulted in widespread availability of medical information for both patients and physicians. People increasingly spend time on the internet searching for an explanation, diagnosis or treatment for their symptoms. Regarding rare diseases, the use of the internet may be an important tool in the diagnostic process. The authors present two cases in which concerned parents made a correct diagnosis of a lysosomal storage disorder in their child by searching the internet after a long doctor's delay. These cases illustrate the utility of publicly available internet search engines in diagnosing rare disorders and in addition illustrate the lengthy diagnostic odyssey which is common in these disorders.

Distributed Multisearch and Resource Selection for the TREC Million Query Track

DTIC Science & Technology

2008-11-01

performance  of  distributed  information  retrieval  applications  such  as  metasearch  [1],  federated   search   [2],  and  collection  sampling  [3...years,  the  ARSC  system  performance  is  below  the  TREC  median,  due  in  part  to  the  additional difficulty involved in a  federated   search   and...effective metasearch engines. ACM  Computing Surveys, 2002. 34(1): p. 48‐49.  2.  Si, L.,  Federated   Search  of Text Search Engines  in Uncooperative

A methodology to analyze the quality of health information on the internet: the example of diabetic neuropathy.

PubMed

Chumber, Sundeep; Huber, Jörg; Ghezzi, Pietro

2015-02-01

The purpose of this work was to evaluate the criteria used to assess the quality of information on diabetic neuropathy on the Internet. Different search engines (Google, Yahoo, Bing, and Ask) and 1 governmental health website (MedlinePlus) were studied. The websites returned (200 for each search engine) were then classified according to their affiliation (eg, commercial, professional, patient groups). A scoring system was devised from the literature to assess quality of information. Websites were also analyzed using the 2 most widely used instruments for assessing the quality of health information, the Journal of the American Medical Association (JAMA) scoring system and the Health On the Net Foundation (HON) certification. Professional websites or health portals scored better according to most criteria. Google and MedlinePlus returned results scoring significantly higher than other engines in some of the criteria. The use of different instruments gave different results and indicates that the JAMA score and the HON certification may not be sufficient ones. This methodology could be used to evaluate the reliability and trustworthiness of information on the Internet on different topics to identify topic areas or websites where the available information is not appropriate. © 2014 The Author(s).

Internet Search Engines: Copyright’s Fair Use in Reproduction and Public Display Rights

DTIC Science & Technology

2007-07-12

asks, in other words, whether and to what extent the new work is transformative.” Campbell v. Acuff-Rose Music , Inc., 510 U.S. 569, 579 (1994). 10...purposes. It cited the U.S. Supreme Court’s decision in Sony Corp. v. Universal Studios, Inc.22 and Kelly, supra, as examples where copying of an...image may have been created originally to serve an entertainment , aesthetic, or informative function, a search engine transforms the image into a pointer

Using Concept Relations to Improve Ranking in Information Retrieval

PubMed Central

Price, Susan L.; Delcambre, Lois M.

2005-01-01

Despite improved search engine technology, most searches return numerous documents not directly related to the query. This problem is mitigated if relevant documents appear high on a ranked list of search results. We propose that some queries and the underlying information needs can be modeled as relationships between concepts (relations), and we match relations in queries to relations in documents to try to improve ranking of search results. We investigate four techniques to identify two relationships important in medicine, causes and treats, to improve the ranking of medical text documents relevant to clinical questions about causation and treatment. Preliminary results suggest that identifying relation instances can improve the ranking of search results. PMID:16779114

Google it: obtaining information about local STD/HIV testing services online.

PubMed

Habel, Melissa A; Hood, Julia; Desai, Sheila; Kachur, Rachel; Buhi, Eric R; Liddon, Nicole

2011-04-01

Although the Internet is one of the most commonly accessed resources for health information, finding information on local sexual health services, such as sexually transmitted disease (STD) testing, can be challenging. Recognizing that most quests for online health information begin with search engines, the purpose of this exploratory study was to examine the extent to which online information about local STD/HIV testing services can be found using Google. Queries on STD and HIV testing services were executed in Google for 6 geographically unique locations across the United States. The first 3 websites that resulted from each query were coded for the following characteristics: (1) relevancy to the search topic, (2) domain and purpose, (3) rank in Google results, and (4) content. Websites hosted at .com (57.3%), .org (25.7%), and .gov (10.5%) domains were retrieved most frequently. Roughly half of all websites (n = 376) provided information relevant to the query, and about three-quarters (77.0%) of all queries yielded at least 1 relevant website within the first 3 results. Searches for larger cities were more likely to yield relevant results compared with smaller cities (odds ratio [OR] = 10.0, 95% confidence interval [CI] = 5.6, 17.9). On comparison with .com domains, .gov (OR = 2.9, 95% CI = 1.4, 5.6) and .org domains (OR = 2.9, 95% CI = 1.7, 4.8) were more likely to provide information of the location to get tested. Ease of online access to information about sexual health services varies by search topic and locale. Sexual health service providers must optimize their website placement so as to reach a greater proportion of the sexually active population who use web search engines.

What parents are reading about laryngomalacia: Quality and readability of internet resources on laryngomalacia.

PubMed

Corredera, Erica; Davis, Kara S; Simons, Jeffrey P; Jabbour, Noel

2018-05-01

The goal of this study is to measure the quality and readability of websites related to laryngomalacia, and to compare the quality and readability scores for the sites accessed through the most popular search engines. Laryngomalacia is a common diagnosis in children but is often difficult for parents to comprehend. As information available on the internet is unregulated, the quality and readability of this information may vary. An advanced search on Google, Yahoo, and Bing was conducted using the terms "laryngomalacia" OR "soft larynx" OR "floppy voice box." The first ten websites meeting inclusion and exclusion criteria were evaluated, for each search engine. Quality and readability were assessed using the DISCERN criteria and the Flesch reading ease scoring (FRES) and Flesch-Kincaid grade level (FKGL) tests, respectively. The top 10 hits on each search engine yielded 15 unique web pages. The median DISCERN score (out of a possible high-score of 80) was 48.5 (SD 12.6). The median USA grade-level estimated by the FKGL was 11.3 (SD 1.4). Only one website (6.7%), had a readability score in the optimal range of 6th to 8th grade reading level. DISCERN scores did not correlate with FKGL scores (r = 0.10). Online information discussing laryngomalacia often varies in quality and may not be easily comprehensible to the public. It is important for healthcare professionals to understand the quality of health information accessible to patients as it may influence medical decision-making by patient families. Copyright © 2018 Elsevier B.V. All rights reserved.

More Databases Searched by a Business Generalist--Part 2: A Veritable Cornucopia of Sources.

ERIC Educational Resources Information Center

Meredith, Meri

1986-01-01

This second installment describes databases irregularly searched in the Business Information Center, Cummins Engine Company (Columbus, Indiana). Highlights include typical research topics (happenings among similar manufacturers); government topics (Department of Defense contracts); market and industry topics; corporate intelligence; and personnel,…

40 CFR 79.58 - Special provisions.

Code of Federal Regulations, 2012 CFR

2012-07-01

... deletion of Tier 2 studies or study specifications, and/or changes in underlying engine or equipment... manufacturer shall provide existing information in the form of a literature search, a discussion of the... literature search shall include existing data on potential health and welfare effects due to exposure to the...

40 CFR 79.58 - Special provisions.

Code of Federal Regulations, 2014 CFR

2014-07-01

... deletion of Tier 2 studies or study specifications, and/or changes in underlying engine or equipment... manufacturer shall provide existing information in the form of a literature search, a discussion of the... literature search shall include existing data on potential health and welfare effects due to exposure to the...

40 CFR 79.58 - Special provisions.

Code of Federal Regulations, 2013 CFR

2013-07-01

... deletion of Tier 2 studies or study specifications, and/or changes in underlying engine or equipment... manufacturer shall provide existing information in the form of a literature search, a discussion of the... literature search shall include existing data on potential health and welfare effects due to exposure to the...

40 CFR 79.58 - Special provisions.

Code of Federal Regulations, 2011 CFR

2011-07-01

... deletion of Tier 2 studies or study specifications, and/or changes in underlying engine or equipment... manufacturer shall provide existing information in the form of a literature search, a discussion of the... literature search shall include existing data on potential health and welfare effects due to exposure to the...

40 CFR 79.58 - Special provisions.

Code of Federal Regulations, 2010 CFR

2010-07-01

... deletion of Tier 2 studies or study specifications, and/or changes in underlying engine or equipment... manufacturer shall provide existing information in the form of a literature search, a discussion of the... literature search shall include existing data on potential health and welfare effects due to exposure to the...

ISART: A Generic Framework for Searching Books with Social Information

PubMed Central

Cui, Xiao-Ping; Qu, Jiao; Geng, Bin; Zhou, Fang; Song, Li; Hao, Hong-Wei

2016-01-01

Effective book search has been discussed for decades and is still future-proof in areas as diverse as computer science, informatics, e-commerce and even culture and arts. A variety of social information contents (e.g, ratings, tags and reviews) emerge with the huge number of books on the Web, but how they are utilized for searching and finding books is seldom investigated. Here we develop an Integrated Search And Recommendation Technology (IsArt), which breaks new ground by providing a generic framework for searching books with rich social information. IsArt comprises a search engine to rank books with book contents and professional metadata, a Generalized Content-based Filtering model to thereafter rerank books with user-generated social contents, and a learning-to-rank technique to finally combine a wide range of diverse reranking results. Experiments show that this technology permits embedding social information to promote book search effectiveness, and IsArt, by making use of it, has the best performance on CLEF/INEX Social Book Search Evaluation datasets of all 4 years (from 2011 to 2014), compared with some other state-of-the-art methods. PMID:26863545

ISART: A Generic Framework for Searching Books with Social Information.

PubMed

Yin, Xu-Cheng; Zhang, Bo-Wen; Cui, Xiao-Ping; Qu, Jiao; Geng, Bin; Zhou, Fang; Song, Li; Hao, Hong-Wei

2016-01-01

Effective book search has been discussed for decades and is still future-proof in areas as diverse as computer science, informatics, e-commerce and even culture and arts. A variety of social information contents (e.g, ratings, tags and reviews) emerge with the huge number of books on the Web, but how they are utilized for searching and finding books is seldom investigated. Here we develop an Integrated Search And Recommendation Technology (IsArt), which breaks new ground by providing a generic framework for searching books with rich social information. IsArt comprises a search engine to rank books with book contents and professional metadata, a Generalized Content-based Filtering model to thereafter rerank books with user-generated social contents, and a learning-to-rank technique to finally combine a wide range of diverse reranking results. Experiments show that this technology permits embedding social information to promote book search effectiveness, and IsArt, by making use of it, has the best performance on CLEF/INEX Social Book Search Evaluation datasets of all 4 years (from 2011 to 2014), compared with some other state-of-the-art methods.

Web-based information on the treatment of oral leukoplakia - quality and readability.

PubMed

Wiriyakijja, Paswach; Fedele, Stefano; Porter, Stephen; Ni Riordain, Richeal

2016-09-01

To categorise the content and assess the quality and readability of the online information regarding the treatment for oral leukoplakia. An online search using the term 'leukoplakia treatment' was carried out on 8th June 2015 using the Google search engine. The content, quality and readability of the first 100 sites were explored. The quality of the web information was assessed using the following tools, the DISCERN instrument and the Journal of the American Medical Association (JAMA) benchmarks for website analysis and the HON seal. Readability was assessed via the Flesch Reading Ease Score. The search strategy generated 357 000 sites on the Google search engine. Due to duplicate links, non-operating links and irrelevant links, a total of 47 of the first 100 websites were included in this study. The mean overall rating achieved by included websites using the DISCERN instrument was 2.3. With regard to the JAMA benchmarks, the vast majority of examined websites (95.7%) completely fulfilled the disclosure benchmark and less than 50% of included websites met the three remaining criteria. A mean total readability score of 47.5 was recorded with almost 90% of websites having a readability level ranging from fairly difficult to very difficult. Based on this study, the online health information regarding oral leukoplakia has challenging readability with content of questionable accuracy. As patients often search for health information online, it would be prudent for clinicians to highlight the caution with which online information should be interpreted. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Patient-targeted websites on overactive bladder: What are our patients reading?

PubMed

Clancy, Aisling A; Hickling, Duane; Didomizio, Laura; Sanaee, May; Shehata, Fady; Zee, Rebekah; Khalil, Hisham

2018-02-01

Patients often turn to the Internet for information on medical conditions. We sought to evaluate the quality and readability of highly visible websites on overactive bladder (OAB). A survey of 42 consecutive patients attending outpatient urogynecology clinics was performed to identify the most commonly used Internet search engines and search terms for information on OAB. The three most commonly used search engines (Google, Bing, and Yahoo!) were then queried using the three most commonly used search terms. The first 20 relevant websites from each search were reviewed. After excluding duplicates, 35 websites were analyzed. Website quality of information on OAB was evaluated using the DISCERN score, JAMA benchmark criteria, and Health on the Net code (HONcode) accreditation status. Readability was assessed using the Simplified Measure of Gobbledygook (SMOG) and Dale-Chall indices. Websites were classified as advertisement/commercial (31%), health portal (29%), professional (26%), patient group (6%), and other (9%). The overall mean DISCERN score was 44 ± 18 (maximum possible score of 80). Three websites (9%) met all four JAMA benchmark criteria. Seventeen percent of websites provided adequate information on content authorship and contributions. Median SMOG and Dale-Chall indices were 9.9 (IQR 9.3-11.2) and 9.0 (IQR 8.1-9.4), respectively. Nine websites (26%) were HONcode certified. Popular websites on OAB are of low quality, written for a high school to college-level readership, and often lack adequate information to assess the potential for commercial bias. Patients should be cautioned that incomplete and potentially biased information on OAB is prevalent online. © 2017 Wiley Periodicals, Inc.

Information Clustering Based on Fuzzy Multisets.

ERIC Educational Resources Information Center

Miyamoto, Sadaaki

2003-01-01

Proposes a fuzzy multiset model for information clustering with application to information retrieval on the World Wide Web. Highlights include search engines; term clustering; document clustering; algorithms for calculating cluster centers; theoretical properties concerning clustering algorithms; and examples to show how the algorithms work.…

New Information Technologies: Possible Implications for Libraries.

ERIC Educational Resources Information Center

de Stricker, Ulla

1998-01-01

Presents observations about developments in information technology that will influence the information industry and libraries of the future. Discusses search engine capabilities; push technology; electronic commerce; WebTV; and optical discs with links to Web sites. Ten figures provide illustrations and charts. (AEF)

The Marine Realms Information Bank family of digital libraries: access to free online information for coastal and marine science

USGS Publications Warehouse

Lightsom, Frances L.; Allwardt, Alan O.

2007-01-01

Searching the World Wide Web for reliable information about specific topics or locations can be frustrating: too many hits, too little relevance. A well-designed digital library, offering a carefully selected collection of online resources, is an attractive alternative to web search engines. The U.S. Geological Survey (USGS) provides three digital libraries for coastal and marine science to serve the needs of a diverse audience--scientists, public servants, educators, and the public.

eTACTS: a method for dynamically filtering clinical trial search results.

PubMed

Miotto, Riccardo; Jiang, Silis; Weng, Chunhua

2013-12-01

Information overload is a significant problem facing online clinical trial searchers. We present eTACTS, a novel interactive retrieval framework using common eligibility tags to dynamically filter clinical trial search results. eTACTS mines frequent eligibility tags from free-text clinical trial eligibility criteria and uses these tags for trial indexing. After an initial search, eTACTS presents to the user a tag cloud representing the current results. When the user selects a tag, eTACTS retains only those trials containing that tag in their eligibility criteria and generates a new cloud based on tag frequency and co-occurrences in the remaining trials. The user can then select a new tag or unselect a previous tag. The process iterates until a manageable number of trials is returned. We evaluated eTACTS in terms of filtering efficiency, diversity of the search results, and user eligibility to the filtered trials using both qualitative and quantitative methods. eTACTS (1) rapidly reduced search results from over a thousand trials to ten; (2) highlighted trials that are generally not top-ranked by conventional search engines; and (3) retrieved a greater number of suitable trials than existing search engines. eTACTS enables intuitive clinical trial searches by indexing eligibility criteria with effective tags. User evaluation was limited to one case study and a small group of evaluators due to the long duration of the experiment. Although a larger-scale evaluation could be conducted, this feasibility study demonstrated significant advantages of eTACTS over existing clinical trial search engines. A dynamic eligibility tag cloud can potentially enhance state-of-the-art clinical trial search engines by allowing intuitive and efficient filtering of the search result space. Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.

eTACTS: A Method for Dynamically Filtering Clinical Trial Search Results

PubMed Central

Miotto, Riccardo; Jiang, Silis; Weng, Chunhua

2013-01-01

Objective Information overload is a significant problem facing online clinical trial searchers. We present eTACTS, a novel interactive retrieval framework using common eligibility tags to dynamically filter clinical trial search results. Materials and Methods eTACTS mines frequent eligibility tags from free-text clinical trial eligibility criteria and uses these tags for trial indexing. After an initial search, eTACTS presents to the user a tag cloud representing the current results. When the user selects a tag, eTACTS retains only those trials containing that tag in their eligibility criteria and generates a new cloud based on tag frequency and co-occurrences in the remaining trials. The user can then select a new tag or unselect a previous tag. The process iterates until a manageable number of trials is returned. We evaluated eTACTS in terms of filtering efficiency, diversity of the search results, and user eligibility to the filtered trials using both qualitative and quantitative methods. Results eTACTS (1) rapidly reduced search results from over a thousand trials to ten; (2) highlighted trials that are generally not top-ranked by conventional search engines; and (3) retrieved a greater number of suitable trials than existing search engines. Discussion eTACTS enables intuitive clinical trial searches by indexing eligibility criteria with effective tags. User evaluation was limited to one case study and a small group of evaluators due to the long duration of the experiment. Although a larger-scale evaluation could be conducted, this feasibility study demonstrated significant advantages of eTACTS over existing clinical trial search engines. Conclusion A dynamic eligibility tag cloud can potentially enhance state-of-the-art clinical trial search engines by allowing intuitive and efficient filtering of the search result space. PMID:23916863

Information-seeking behavior of basic science researchers: implications for library services.

PubMed

Haines, Laura L; Light, Jeanene; O'Malley, Donna; Delwiche, Frances A

2010-01-01

This study examined the information-seeking behaviors of basic science researchers to inform the development of customized library services. A qualitative study using semi-structured interviews was conducted on a sample of basic science researchers employed at a university medical school. The basic science researchers used a variety of information resources ranging from popular Internet search engines to highly technical databases. They generally relied on basic keyword searching, using the simplest interface of a database or search engine. They were highly collegial, interacting primarily with coworkers in their laboratories and colleagues employed at other institutions. They made little use of traditional library services and instead performed many traditional library functions internally. Although the basic science researchers expressed a positive attitude toward the library, they did not view its resources or services as integral to their work. To maximize their use by researchers, library resources must be accessible via departmental websites. Use of library services may be increased by cultivating relationships with key departmental administrative personnel. Despite their self-sufficiency, subjects expressed a desire for centralized information about ongoing research on campus and shared resources, suggesting a role for the library in creating and managing an institutional repository.

Information-seeking behavior of basic science researchers: implications for library services

PubMed Central

Haines, Laura L.; Light, Jeanene; O'Malley, Donna; Delwiche, Frances A.

2010-01-01

Objectives: This study examined the information-seeking behaviors of basic science researchers to inform the development of customized library services. Methods: A qualitative study using semi-structured interviews was conducted on a sample of basic science researchers employed at a university medical school. Results: The basic science researchers used a variety of information resources ranging from popular Internet search engines to highly technical databases. They generally relied on basic keyword searching, using the simplest interface of a database or search engine. They were highly collegial, interacting primarily with coworkers in their laboratories and colleagues employed at other institutions. They made little use of traditional library services and instead performed many traditional library functions internally. Conclusions: Although the basic science researchers expressed a positive attitude toward the library, they did not view its resources or services as integral to their work. To maximize their use by researchers, library resources must be accessible via departmental websites. Use of library services may be increased by cultivating relationships with key departmental administrative personnel. Despite their self-sufficiency, subjects expressed a desire for centralized information about ongoing research on campus and shared resources, suggesting a role for the library in creating and managing an institutional repository. PMID:20098658

Intelligent web image retrieval system

NASA Astrophysics Data System (ADS)

Hong, Sungyong; Lee, Chungwoo; Nah, Yunmook

2001-07-01

Recently, the web sites such as e-business sites and shopping mall sites deal with lots of image information. To find a specific image from these image sources, we usually use web search engines or image database engines which rely on keyword only retrievals or color based retrievals with limited search capabilities. This paper presents an intelligent web image retrieval system. We propose the system architecture, the texture and color based image classification and indexing techniques, and representation schemes of user usage patterns. The query can be given by providing keywords, by selecting one or more sample texture patterns, by assigning color values within positional color blocks, or by combining some or all of these factors. The system keeps track of user's preferences by generating user query logs and automatically add more search information to subsequent user queries. To show the usefulness of the proposed system, some experimental results showing recall and precision are also explained.

SciRide Finder: a citation-based paradigm in biomedical literature search.

PubMed

Volanakis, Adam; Krawczyk, Konrad

2018-04-18

There are more than 26 million peer-reviewed biomedical research items according to Medline/PubMed. This breadth of information is indicative of the progress in biomedical sciences on one hand, but an overload for scientists performing literature searches on the other. A major portion of scientific literature search is to find statements, numbers and protocols that can be cited to build an evidence-based narrative for a new manuscript. Because science builds on prior knowledge, such information has likely been written out and cited in an older manuscript. Thus, Cited Statements, pieces of text from scientific literature supported by citing other peer-reviewed publications, carry significant amount of condensed information on prior art. Based on this principle, we propose a literature search service, SciRide Finder (finder.sciride.org), which constrains the search corpus to such Cited Statements only. We demonstrate that Cited Statements can carry different information to this found in titles/abstracts and full text, giving access to alternative literature search results than traditional search engines. We further show how presenting search results as a list of Cited Statements allows researchers to easily find information to build an evidence-based narrative for their own manuscripts.

Quality of Online Resources for Pancreatic Cancer Patients.

PubMed

De Groot, Lauren; Harris, Ilene; Regehr, Glenn; Tekian, Ara; Ingledew, Paris-Ann

2017-10-18

The Internet is increasingly a source of information for pancreatic cancer patients. This disease is usually diagnosed at an advanced stage; therefore, timely access to high-quality information is critical. Our purpose is to systematically evaluate the information available to pancreatic cancer patients on the internet. An internet search using the term "pancreatic cancer" was performed, with the meta-search engines "Dogpile", "Yippy" and "Google". The top 100 websites returned by the search engines were evaluated using a validated structured rating tool. Inter-rater reliability was evaluated using kappa statistics and results were analyzed using descriptive statistics. Amongst the 100 websites evaluated, etiology/risk factors and symptoms were the most accurately covered (70 and 67% of websites). Prevention, treatment and prognosis were the least accurate sections (55, 55 and 43% of websites). Prevention and prognosis were also the least likely to be covered with 63 and 51 websites covering these, respectively. Only 40% of websites identified an author. Twenty-two percent of websites were at a university reading level. The majority of online information is accurate but incomplete. Websites may lack information on prognosis. Many websites are outdated and lacked author information, and readability levels are inappropriate. This knowledge can inform the dialogue between healthcare providers and patients.

An artificially intelligent chat agent that answers adolescents' questions related to sex, drugs, and alcohol: an exploratory study.

PubMed

Crutzen, Rik; Peters, Gjalt-Jorn Y; Portugal, Sarah Dias; Fisser, Erwin M; Grolleman, Jorne J

2011-05-01

The aim of this study was to investigate if and how an artificially intelligent chat agent (chatbot) that answers questions about sex, drugs, and alcohol is used and evaluated by adolescents, especially in comparison with information lines and search engines. A sample of 929 adolescents (64% girls, mean age = 15), varying in urbanization level and educational level, participated in this study. Use of the chatbot was objectively tracked through server registrations (e.g., frequency and duration of conversations with the chatbot, the number and topics of queries), and a web-based questionnaire was used to evaluate the chatbot (e.g., the perception of anonymity, conciseness, ease of use, fun, quality and quantity of information, and speed) and to compare it with information lines and search engines. The chatbot reached high school attendees in general and not only adolescents with previous experience related to sex, drugs, or alcohol; this is promising from an informed decision-making point of view. Frequency (M = 11) and duration of conversations (3:57 minutes) was high and the chatbot was evaluated positively, especially in comparison with information lines and search engines. The use of chatbots within the field of health promotion has a large potential to reach a varied group of adolescents and to provide them with answers to their questions related to sex, drugs, and alcohol. Copyright © 2011 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Does Research Information Meet the Needs of Stakeholders? Exploring Evidence Selection in the Global Management of Invasive Species

ERIC Educational Resources Information Center

Bayliss, Helen R.; Wilcox, Andrew; Stewart, Gavin B.; Randall, Nicola P.

2012-01-01

This study explored factors affecting information selection by international stakeholders working with invasive species. Despite differences in information requirements between groups, all stakeholders demonstrated a clear preference for free, easily accessible online information, and predominantly used internet search engines and specialist…

The Internet as a Source of Academic Research Information: Findings of Two Pilot Studies.

ERIC Educational Resources Information Center

Kibirige, Harry M.; DePalo, Lisa

2000-01-01

Discussion of information available on the Internet focuses on two pilot studies that investigated how academic users perceive search engines and subject-oriented databases as sources of topical information. Highlights include information seeking behavior of academic users; undergraduate users; graduate users; faculty; and implications for…

Information contained in miscarriage-related websites and the predictive value of website scoring systems.

PubMed

Hardwick, J Christopher R; MacKenzie, Fiona M

2003-01-10

To identify websites providing information about early pregnancy loss and compare this information with published guidelines from the Royal College of Obstetricians and Gynaecologists (RCOG). The value of 'Silberg' and 'Health on the net (HON)' website scoring systems in predicting the information provided via websites identified was assessed. A cross-sectional survey. Nineteen websites identified via two search engines (http://www.lycos.co.uk and http://www.msn.co.uk). Websites were searched for specific information in a structured manner and then scored by two independent observers against the website scoring systems and against a scoring system derived from guidelines published by the RCOG. Website scores against the scoring systems and against RCOG guidelines. Information concerning miscarriage contained within these websites was poor and scored accordingly against the RCOG guidelines (median score, 4.5/8). The website scoring systems did not predict the RCOG scores for a website (HON score R(S)=0.193 (95% confidence interval from -0.286 to 0.595), Silberg score, R(S)=0.035 (95% confidence interval from -0.426 to 0.482)). Few relevant websites were identified despite searching a large number via two search engines. The websites found did not answer our specific questions and consequently scored poorly against the RCOG guidelines. RCOG scores did not correlate with either scoring system. Web-based information for women attending with early pregnancy complications needs to be easily accessed and comprehensive. Written information given to women when seen with early pregnancy complications should include details of available comprehensive websites. Professional organisations, colleges or Government agencies should provide this type of information.

Result Merging Strategies for a Current News Metasearcher.

ERIC Educational Resources Information Center

Rasolofo, Yves; Hawking, David; Savoy, Jacques

2003-01-01

Metasearching of online current news services is a potentially useful Web application of distributed information retrieval techniques. Reports experiences in building a metasearcher designed to provide up-to-date searching over a significant number of rapidly changing current news sites, focusing on how to merge results from the search engines at…

Subject Specific Databases: A Powerful Research Tool

ERIC Educational Resources Information Center

Young, Terrence E., Jr.

2004-01-01

Subject specific databases, or vortals (vertical portals), are databases that provide highly detailed research information on a particular topic. They are the smallest, most focused search tools on the Internet and, in recent years, they've been on the rise. Currently, more of the so-called "mainstream" search engines, subject directories, and…

Cardiac Resynchronization Therapy Online: What Patients Find when Searching the World Wide Web.

PubMed

Modi, Minal; Laskar, Nabila; Modi, Bhavik N

2016-06-01

To objectively assess the quality of information available on the World Wide Web on cardiac resynchronization therapy (CRT). Patients frequently search the internet regarding their healthcare issues. It has been shown that patients seeking information can help or hinder their healthcare outcomes depending on the quality of information consulted. On the internet, this information can be produced and published by anyone, resulting in the risk of patients accessing inaccurate and misleading information. The search term "Cardiac Resynchronisation Therapy" was entered into the three most popular search engines and the first 50 pages on each were pooled and analyzed, after excluding websites inappropriate for objective review. The "LIDA" instrument (a validated tool for assessing quality of healthcare information websites) was to generate scores on Accessibility, Reliability, and Usability. Readability was assessed using the Flesch Reading Ease Score (FRES). Of the 150 web-links, 41 sites met the eligibility criteria. The sites were assessed using the LIDA instrument and the FRES. A mean total LIDA score for all the websites assessed was 123.5 of a possible 165 (74.8%). The average Accessibility of the sites assessed was 50.1 of 60 (84.3%), on Usability 41.4 of 54 (76.6%), on Reliability 31.5 of 51 (61.7%), and 41.8 on FRES. There was a significant variability among sites and interestingly, there was no correlation between the sites' search engine ranking and their scores. This study has illustrated the variable quality of online material on the topic of CRT. Furthermore, there was also no apparent correlation between highly ranked, popular websites and their quality. Healthcare professionals should be encouraged to guide their patients toward the online material that contains reliable information. © 2016 Wiley Periodicals, Inc.

CrossTalk: The Journal of Defense Software Engineering. Volume 21, Number 5

DTIC Science & Technology

2008-05-01

per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing...and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information...the publisher of CrossTalk, providing both editorial oversight and technical review of the journal.CrossTalk’s mission is to encourage the engineering

Context-Aware Online Commercial Intention Detection

NASA Astrophysics Data System (ADS)

Hu, Derek Hao; Shen, Dou; Sun, Jian-Tao; Yang, Qiang; Chen, Zheng

With more and more commercial activities moving onto the Internet, people tend to purchase what they need through Internet or conduct some online research before the actual transactions happen. For many Web users, their online commercial activities start from submitting a search query to search engines. Just like the common Web search queries, the queries with commercial intention are usually very short. Recognizing the queries with commercial intention against the common queries will help search engines provide proper search results and advertisements, help Web users obtain the right information they desire and help the advertisers benefit from the potential transactions. However, the intentions behind a query vary a lot for users with different background and interest. The intentions can even be different for the same user, when the query is issued in different contexts. In this paper, we present a new algorithm framework based on skip-chain conditional random field (SCCRF) for automatically classifying Web queries according to context-based online commercial intention. We analyze our algorithm performance both theoretically and empirically. Extensive experiments on several real search engine log datasets show that our algorithm can improve more than 10% on F1 score than previous algorithms on commercial intention detection.

Global trends in the awareness of sepsis: insights from search engine data between 2012 and 2017.

PubMed

Jabaley, Craig S; Blum, James M; Groff, Robert F; O'Reilly-Shah, Vikas N

2018-01-17

Sepsis is an established global health priority with high mortality that can be curtailed through early recognition and intervention; as such, efforts to raise awareness are potentially impactful and increasingly common. We sought to characterize trends in the awareness of sepsis by examining temporal, geographic, and other changes in search engine utilization for sepsis information-seeking online. Using time series analyses and mixed descriptive methods, we retrospectively analyzed publicly available global usage data reported by Google Trends (Google, Palo Alto, CA, USA) concerning web searches for the topic of sepsis between 24 June 2012 and 24 June 2017. Google Trends reports aggregated and de-identified usage data for its search products, including interest over time, interest by region, and details concerning the popularity of related queries where applicable. Outlying epochs of search activity were identified using autoregressive integrated moving average modeling with transfer functions. We then identified awareness campaigns and news media coverage that correlated with epochs of significantly heightened search activity. A second-order autoregressive model with transfer functions was specified following preliminary outlier analysis. Nineteen significant outlying epochs above the modeled baseline were identified in the final analysis that correlated with 14 awareness and news media events. Our model demonstrated that the baseline level of search activity increased in a nonlinear fashion. A recurrent cyclic increase in search volume beginning in 2012 was observed that correlates with World Sepsis Day. Numerous other awareness and media events were correlated with outlying epochs. The average worldwide search volume for sepsis was less than that of influenza, myocardial infarction, and stroke. Analyzing aggregate search engine utilization data has promise as a mechanism to measure the impact of awareness efforts. Heightened information-seeking about sepsis occurs in close proximity to awareness events and relevant news media coverage. Future work should focus on validating this approach in other contexts and comparing its results to traditional methods of awareness campaign evaluation.

Adjacency and Proximity Searching in the Science Citation Index and Google

DTIC Science & Technology

2005-01-01

major database search engines , including commercial S&T database search engines (e.g., Science Citation Index (SCI), Engineering Compendex (EC...PubMed, OVID), Federal agency award database search engines (e.g., NSF, NIH, DOE, EPA, as accessed in Federal R&D Project Summaries), Web search Engines (e.g...searching. Some database search engines allow strict constrained co- occurrence searching as a user option (e.g., OVID, EC), while others do not (e.g., SCI

General vs health specialized search engine: a blind comparative evaluation of top search results.

PubMed

Pletneva, Natalia; Ruiz de Castaneda, Rafael; Baroz, Frederic; Boyer, Celia

2014-01-01

This paper presents the results of a blind comparison of top ten search results retrieved by Google.ch (French) and Khresmoi for everyone, a health specialized search engine. Participants--students of the Faculty of Medicine of the University of Geneva had to complete three tasks and select their preferred results. The majority of the participants have largely preferred Google results while Khresmoi results showed potential to compete in specific topics. The coverage of the results seems to be one of the reasons. The second being that participants do not know how to select quality and transparent health web pages. More awareness, tools and education about the matter is required for the students of Medicine to be able to efficiently distinguish trustworthy online health information.

Raising the IQ in full-text searching via intelligent querying

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kero, R.; Russell, L.; Swietlik, C.

1994-11-01

Current Information Retrieval (IR) technologies allow for efficient access to relevant information, provided that user selected query terms coincide with the specific linguistical choices made by the authors whose works constitute the text-base. Therefore, the challenge is to enhance the limited searching capability of state-of-the-practice IR. This can be done either with augmented clients that overcome current server searching deficiencies, or with added capabilities that can augment searching algorithms on the servers. The technology being investigated is that of deductive databases, with a set of new techniques called cooperative answering. This technology utilizes semantic networks to allow for navigation betweenmore » possible query search term alternatives. The augmented search terms are passed to an IR engine and the results can be compared. The project utilizes the OSTI Environment, Safety and Health Thesaurus to populate the domain specific semantic network and the text base of ES&H related documents from the Facility Profile Information Management System as the domain specific search space.« less

Cancer Internet Search Activity on a Major Search Engine, United States 2001-2003

PubMed Central

Cooper, Crystale Purvis; Mallon, Kenneth P; Leadbetter, Steven; Peipins, Lucy A

2005-01-01

Background To locate online health information, Internet users typically use a search engine, such as Yahoo! or Google. We studied Yahoo! search activity related to the 23 most common cancers in the United States. Objective The objective was to test three potential correlates of Yahoo! cancer search activity—estimated cancer incidence, estimated cancer mortality, and the volume of cancer news coverage—and to study the periodicity of and peaks in Yahoo! cancer search activity. Methods Yahoo! cancer search activity was obtained from a proprietary database called the Yahoo! Buzz Index. The American Cancer Society's estimates of cancer incidence and mortality were used. News reports associated with specific cancer types were identified using the LexisNexis “US News” database, which includes more than 400 national and regional newspapers and a variety of newswire services. Results The Yahoo! search activity associated with specific cancers correlated with their estimated incidence (Spearman rank correlation, ρ = 0.50, P = .015), estimated mortality (ρ = 0.66, P = .001), and volume of related news coverage (ρ = 0.88, P < .001). Yahoo! cancer search activity tended to be higher on weekdays and during national cancer awareness months but lower during summer months; cancer news coverage also tended to follow these trends. Sharp increases in Yahoo! search activity scores from one day to the next appeared to be associated with increases in relevant news coverage. Conclusions Media coverage appears to play a powerful role in prompting online searches for cancer information. Internet search activity offers an innovative tool for passive surveillance of health information–seeking behavior. PMID:15998627

[Study on Information Extraction of Clinic Expert Information from Hospital Portals].

PubMed

Zhang, Yuanpeng; Dong, Jiancheng; Qian, Danmin; Geng, Xingyun; Wu, Huiqun; Wang, Li

2015-12-01

Clinic expert information provides important references for residents in need of hospital care. Usually, such information is hidden in the deep web and cannot be directly indexed by search engines. To extract clinic expert information from the deep web, the first challenge is to make a judgment on forms. This paper proposes a novel method based on a domain model, which is a tree structure constructed by the attributes of search interfaces. With this model, search interfaces can be classified to a domain and filled in with domain keywords. Another challenge is to extract information from the returned web pages indexed by search interfaces. To filter the noise information on a web page, a block importance model is proposed. The experiment results indicated that the domain model yielded a precision 10.83% higher than that of the rule-based method, whereas the block importance model yielded an F₁ measure 10.5% higher than that of the XPath method.

77 FR 48202 - Petition for Exemption; Summary of Petition Received

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-13

... information you provide. Using the search function of our docket Web site, anyone can find and read the....1309(c) and (d). Description of Relief Sought: Gulfstream requests relief from certain engine installation, operational limitation and engine indication requirements which apply to the Gulfstream G280...

MyLibrary: A Web Personalized Digital Library.

ERIC Educational Resources Information Center

Rocha, Catarina; Xexeo, Geraldo; da Rocha, Ana Regina C.

With the increasing availability of information on Internet information providers, like search engines, digital libraries and online databases, it becomes more important to have personalized systems that help users to find relevant information. One type of personalization that is growing in use is recommender systems. This paper presents…

Start Your Engines: Surfing with Search Engines for Kids.

ERIC Educational Resources Information Center

Byerly, Greg; Brodie, Carolyn S.

1999-01-01

Suggests that to be an effective educator and user of the Web it is essential to know the basics about search engines. Presents tips for using search engines. Describes several search engines for children and young adults, as well as some general filtered search engines for children. (AEF)

Evaluation of the Quality of Online Information for Patients with Rare Cancers: Thyroid Cancer.

PubMed

Kuenzel, Ulrike; Monga Sindeu, Tabea; Schroth, Sarah; Huebner, Jutta; Herth, Natalie

2017-01-24

The Internet offers an easy and quick access to a vast amount of patient information. However, several studies point to the poor quality of many websites and the resulting hazards of false information. The aim of this study was to assess quality of information on thyroid cancer. A patients' search for information about thyroid cancer on German websites was simulated using the search engine Google and the patient portal "Patienten-Information.de". The websites were assessed using a standardized instrument with formal and content aspects from the German Cancer Society. Supporting the results of prior studies that analysed patient information on the Internet, the data showed that the quality of patient information on thyroid cancer is highly heterogeneous depending on the website providers. The majority of website providers are represented by media and health providers other than health insurances, practices and professionals offering patient information of relatively poor quality. Moreover, most websites offer patient information of low-quality content. Only a few trustworthy, high-quality websites exist. Especially Google, a common search engine, focuses more on the dissemination of information than on quality aspects. In order to improve the patient information from the Internet, the visibility of high-quality websites must be improved. For that, education programs to improve patients' eHealth literacy are needed. A quick and easy evaluation tool for online information suited for patients should be implemented, and patients should be taught to integrate such a tool into their research process.

GeneView: a comprehensive semantic search engine for PubMed.

PubMed

Thomas, Philippe; Starlinger, Johannes; Vowinkel, Alexander; Arzt, Sebastian; Leser, Ulf

2012-07-01

Research results are primarily published in scientific literature and curation efforts cannot keep up with the rapid growth of published literature. The plethora of knowledge remains hidden in large text repositories like MEDLINE. Consequently, life scientists have to spend a great amount of time searching for specific information. The enormous ambiguity among most names of biomedical objects such as genes, chemicals and diseases often produces too large and unspecific search results. We present GeneView, a semantic search engine for biomedical knowledge. GeneView is built upon a comprehensively annotated version of PubMed abstracts and openly available PubMed Central full texts. This semi-structured representation of biomedical texts enables a number of features extending classical search engines. For instance, users may search for entities using unique database identifiers or they may rank documents by the number of specific mentions they contain. Annotation is performed by a multitude of state-of-the-art text-mining tools for recognizing mentions from 10 entity classes and for identifying protein-protein interactions. GeneView currently contains annotations for >194 million entities from 10 classes for ∼21 million citations with 271,000 full text bodies. GeneView can be searched at http://bc3.informatik.hu-berlin.de/.

Whiplash Syndrome Reloaded: Digital Echoes of Whiplash Syndrome in the European Internet Search Engine Context.

PubMed

Noll-Hussong, Michael

2017-03-27

In many Western countries, after a motor vehicle collision, those involved seek health care for the assessment of injuries and for insurance documentation purposes. In contrast, in many less wealthy countries, there may be limited access to care and no insurance or compensation system. The purpose of this infodemiology study was to investigate the global pattern of evolving Internet usage in countries with and without insurance and the corresponding compensation systems for whiplash injury. We used the Internet search engine analytics via Google Trends to study the health information-seeking behavior concerning whiplash injury at national population levels in Europe. We found that the search for "whiplash" is strikingly and consistently often associated with the search for "compensation" in countries or cultures with a tort system. Frequent or traumatic painful injuries; diseases or disorders such as arthritis, headache, radius, and hip fracture; depressive disorders; and fibromyalgia were not associated similarly with searches on "compensation." In this study, we present evidence from the evolving viewpoint of naturalistic Internet search engine analytics that the expectations for receiving compensation may influence Internet search behavior in relation to whiplash injury. ©Michael Noll-Hussong. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 27.03.2017.

The quality of mental health information commonly searched for on the Internet.

PubMed

Grohol, John M; Slimowicz, Joseph; Granda, Rebecca

2014-04-01

Previous research has reviewed the quality of online information related to specific mental disorders. Yet, no comprehensive study has been conducted on the overall quality of mental health information searched for online. This study examined the first 20 search results of two popular search engines-Google and Bing-for 11 common mental health terms. They were analyzed using the DISCERN instrument, an adaptation of the Depression Website Content Checklist (ADWCC), Flesch Reading Ease and Flesch-Kincaid Grade Level readability measures, HONCode badge display, and commercial status, resulting in an analysis of 440 web pages. Quality of Web site results varied based on type of disorder examined, with higher quality Web sites found for schizophrenia, bipolar disorder, and dysthymia, and lower quality ratings for phobia, anxiety, and panic disorder Web sites. Of the total Web sites analyzed, 67.5% had good or better quality content. Nearly one-third of the search results produced Web sites from three entities: WebMD, Wikipedia, and the Mayo Clinic. The mean Flesch Reading Ease score was 41.21, and the mean Flesch-Kincaid Grade Level score was 11.68. The presence of the HONCode badge and noncommercial status was found to have a small correlation with Web site quality, and Web sites displaying the HONCode badge and commercial sites had lower readability scores. Popular search engines appear to offer generally reliable results pointing to mostly good or better quality mental health Web sites. However, additional work is needed to make these sites more readable.

Start Your Search Engines. Part One: Taming Google--and Other Tips to Master Web Searches

ERIC Educational Resources Information Center

Adam, Anna; Mowers, Helen

2008-01-01

There are a lot of useful tools on the Web, all those social applications, and the like. Still most people go online for one thing--to perform a basic search. For most fact-finding missions, the Web is there. But--as media specialists well know--the sheer wealth of online information can hamper efforts to focus on a few reliable references.…

Quantifying the semantics of search behavior before stock market moves.

PubMed

Curme, Chester; Preis, Tobias; Stanley, H Eugene; Moat, Helen Susannah

2014-08-12

Technology is becoming deeply interwoven into the fabric of society. The Internet has become a central source of information for many people when making day-to-day decisions. Here, we present a method to mine the vast data Internet users create when searching for information online, to identify topics of interest before stock market moves. In an analysis of historic data from 2004 until 2012, we draw on records from the search engine Google and online encyclopedia Wikipedia as well as judgments from the service Amazon Mechanical Turk. We find evidence of links between Internet searches relating to politics or business and subsequent stock market moves. In particular, we find that an increase in search volume for these topics tends to precede stock market falls. We suggest that extensions of these analyses could offer insight into large-scale information flow before a range of real-world events.

Quantifying the semantics of search behavior before stock market moves

PubMed Central

Curme, Chester; Preis, Tobias; Stanley, H. Eugene; Moat, Helen Susannah

2014-01-01

Technology is becoming deeply interwoven into the fabric of society. The Internet has become a central source of information for many people when making day-to-day decisions. Here, we present a method to mine the vast data Internet users create when searching for information online, to identify topics of interest before stock market moves. In an analysis of historic data from 2004 until 2012, we draw on records from the search engine Google and online encyclopedia Wikipedia as well as judgments from the service Amazon Mechanical Turk. We find evidence of links between Internet searches relating to politics or business and subsequent stock market moves. In particular, we find that an increase in search volume for these topics tends to precede stock market falls. We suggest that extensions of these analyses could offer insight into large-scale information flow before a range of real-world events. PMID:25071193

Mining Hidden Gems Beneath the Surface: A Look At the Invisible Web.

ERIC Educational Resources Information Center

Carlson, Randal D.; Repman, Judi

2002-01-01

Describes resources for researchers called the Invisible Web that are hidden from the usual search engines and other tools and contrasts them with those resources available on the surface Web. Identifies specialized search tools, databases, and strategies that can be used to locate credible in-depth information. (Author/LRW)

Surfing the World Wide Web to Education Hot-Spots.

ERIC Educational Resources Information Center

Dyrli, Odvard Egil

1995-01-01

Provides a brief explanation of Web browsers and their use, as well as technical information for those considering access to the WWW (World Wide Web). Curriculum resources and addresses to useful Web sites are included. Sidebars show sample searches using Yahoo and Lycos search engines, and a list of recommended Web resources. (JKP)

Developing Models for Synchronizing the Interaction among Users, Systems and Content in Complex Information Spaces

DTIC Science & Technology

2009-10-02

October. Jansen, B. J., Zhang, M., and Zhang, Y. (2007) Brand Awareness and the Evaluation of Search Results, 16th International World Wide Web...2007) The Effect of Brand Awareness on the Evaluation of Search Engine Results, Conference on Human Factors in Computing Systems (SIGCHI), Work-in

Sagace: A web-based search engine for biomedical databases in Japan

PubMed Central

2012-01-01

Background In the big data era, biomedical research continues to generate a large amount of data, and the generated information is often stored in a database and made publicly available. Although combining data from multiple databases should accelerate further studies, the current number of life sciences databases is too large to grasp features and contents of each database. Findings We have developed Sagace, a web-based search engine that enables users to retrieve information from a range of biological databases (such as gene expression profiles and proteomics data) and biological resource banks (such as mouse models of disease and cell lines). With Sagace, users can search more than 300 databases in Japan. Sagace offers features tailored to biomedical research, including manually tuned ranking, a faceted navigation to refine search results, and rich snippets constructed with retrieved metadata for each database entry. Conclusions Sagace will be valuable for experts who are involved in biomedical research and drug development in both academia and industry. Sagace is freely available at http://sagace.nibio.go.jp/en/. PMID:23110816

Using search engine query data to track pharmaceutical utilization: a study of statins.

PubMed

Schuster, Nathaniel M; Rogers, Mary A M; McMahon, Laurence F

2010-08-01

To examine temporal and geographic associations between Google queries for health information and healthcare utilization benchmarks. Retrospective longitudinal study. Using Google Trends and Google Insights for Search data, the search terms Lipitor (atorvastatin calcium; Pfizer, Ann Arbor, MI) and simvastatin were evaluated for change over time and for association with Lipitor revenues. The relationship between query data and community-based resource use per Medicare beneficiary was assessed for 35 US metropolitan areas. Google queries for Lipitor significantly decreased from January 2004 through June 2009 and queries for simvastatin significantly increased (P <.001 for both), particularly after Lipitor came off patent (P <.001 for change in slope). The mean number of Google queries for Lipitor correlated (r = 0.98) with the percentage change in Lipitor global revenues from 2004 to 2008 (P <.001). Query preference for Lipitor over simvastatin was positively associated (r = 0.40) with a community's use of Medicare services. For every 1% increase in utilization of Medicare services in a community, there was a 0.2-unit increase in the ratio of Lipitor queries to simvastatin queries in that community (P = .02). Specific search engine queries for medical information correlate with pharmaceutical revenue and with overall healthcare utilization in a community. This suggests that search query data can track community-wide characteristics in healthcare utilization and have the potential for informing payers and policy makers regarding trends in utilization.

Manipulating Google's Knowledge Graph Box to Counter Biased Information Processing During an Online Search on Vaccination: Application of a Technological Debiasing Strategy.

PubMed

Ludolph, Ramona; Allam, Ahmed; Schulz, Peter J

2016-06-02

One of people's major motives for going online is the search for health-related information. Most consumers start their search with a general search engine but are unaware of the fact that its sorting and ranking criteria do not mirror information quality. This misconception can lead to distorted search outcomes, especially when the information processing is characterized by heuristic principles and resulting cognitive biases instead of a systematic elaboration. As vaccination opponents are vocal on the Web, the chance of encountering their non‒evidence-based views on immunization is high. Therefore, biased information processing in this context can cause subsequent impaired judgment and decision making. A technological debiasing strategy could counter this by changing people's search environment. This study aims at testing a technological debiasing strategy to reduce the negative effects of biased information processing when using a general search engine on people's vaccination-related knowledge and attitudes. This strategy is to manipulate the content of Google's knowledge graph box, which is integrated in the search interface and provides basic information about the search topic. A full 3x2 factorial, posttest-only design was employed with availability of basic factual information (comprehensible vs hardly comprehensible vs not present) as the first factor and a warning message as the second factor of experimental manipulation. Outcome variables were the evaluation of the knowledge graph box, vaccination-related knowledge, as well as beliefs and attitudes toward vaccination, as represented by three latent variables emerged from an exploratory factor analysis. Two-way analysis of variance revealed a significant main effect of availability of basic information in the knowledge graph box on participants' vaccination knowledge scores (F2,273=4.86, P=.01), skepticism/fear of vaccination side effects (F2,273=3.5, P=.03), and perceived information quality (F2,273=3.73, P=.02). More specifically, respondents receiving comprehensible information appeared to be more knowledgeable, less skeptical of vaccination, and more critical of information quality compared to participants exposed to hardly comprehensible information. Although, there was no significant interaction effect between the availability of information and the presence of the warning, there was a dominant pattern in which the presence of the warning appeared to have a positive influence on the group receiving comprehensible information while the opposite was true for the groups exposed to hardly comprehensible information and no information at all. Participants evaluated the knowledge graph box as moderately to highly useful, with no significant differences among the experimental groups. Overall, the results suggest that comprehensible information in the knowledge graph box positively affects participants' vaccination-related knowledge and attitudes. A small change in the content retrieval procedure currently used by Google could already make a valuable difference in the pursuit of an unbiased online information search. Further research is needed to gain insights into the knowledge graph box's entire potential.

Computer-assisted total knee arthroplasty marketing and patient education: an evaluation of quality, content and accuracy of related websites.

PubMed

Shemesh, Shai S; Bronson, Michael J; Moucha, Calin S

2016-10-01

The internet is increasingly being used as a resource for health-related information by the general public. We sought to establish the authorship, content and accuracy of the information available online regarding computer-assisted total knee arthroplasty (CA-TKA). One hundred fifty search results from three leading search engines available online (Google, Yahoo!, Bing) from ten different countries worldwide were reviewed. While private physicians/groups authored 50.7 % of the websites, only 17.3 % were authored by a hospital/university. As compared to traditional TKA, 59.3 % of the websites claimed that navigated TKA offers better longevity, 46.6 % claimed accelerated recovery and 26 % claimed fewer complications. Only 11.3 % mentioned the prolonged operating room time required, and only 15.3 % noted the current lack of long-term evidence in support of this technology. Patients seeking information regarding CA-TKA through the major search engines are likely to encounter websites presenting a narrow, unscientific, viewpoint of the present technology, putting emphasis on unsubstantiated benefits while disregarding potential drawbacks. Survey of Materials-Internet.

Applying Hypertext Structures to Software Documentation.

ERIC Educational Resources Information Center

French, James C.; And Others

1997-01-01

Describes a prototype system for software documentation management called SLEUTH (Software Literacy Enhancing Usefulness to Humans) being developed at the University of Virginia. Highlights include information retrieval techniques, hypertext links that are installed automatically, a WAIS (Wide Area Information Server) search engine, user…

Custom Search Engines: Tools & Tips

ERIC Educational Resources Information Center

Notess, Greg R.

2008-01-01

Few have the resources to build a Google or Yahoo! from scratch. Yet anyone can build a search engine based on a subset of the large search engines' databases. Use Google Custom Search Engine or Yahoo! Search Builder or any of the other similar programs to create a vertical search engine targeting sites of interest to users. The basic steps to…

Adding a visualization feature to web search engines: it's time.

PubMed

Wong, Pak Chung

2008-01-01

It's widely recognized that all Web search engines today are almost identical in presentation layout and behavior. In fact, the same presentation approach has been applied to depicting search engine results pages (SERPs) since the first Web search engine launched in 1993. In this Visualization Viewpoints article, I propose to add a visualization feature to Web search engines and suggest that the new addition can improve search engines' performance and capabilities, which in turn lead to better Web search technology.

Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal

PubMed Central

Jadhav, Ashutosh; Andrews, Donna; Fiksdal, Alexander; Kumbamu, Ashok; McCormick, Jennifer B; Misitano, Andrew; Nelsen, Laurie; Ryu, Euijung; Sheth, Amit; Wu, Stephen

2014-01-01

Background The number of people using the Internet and mobile/smart devices for health information seeking is increasing rapidly. Although the user experience for online health information seeking varies with the device used, for example, smart devices (SDs) like smartphones/tablets versus personal computers (PCs) like desktops/laptops, very few studies have investigated how online health information seeking behavior (OHISB) may differ by device. Objective The objective of this study is to examine differences in OHISB between PCs and SDs through a comparative analysis of large-scale health search queries submitted through Web search engines from both types of devices. Methods Using the Web analytics tool, IBM NetInsight OnDemand, and based on the type of devices used (PCs or SDs), we obtained the most frequent health search queries between June 2011 and May 2013 that were submitted on Web search engines and directed users to the Mayo Clinic’s consumer health information website. We performed analyses on “Queries with considering repetition counts (QwR)” and “Queries without considering repetition counts (QwoR)”. The dataset contains (1) 2.74 million and 3.94 million QwoR, respectively for PCs and SDs, and (2) more than 100 million QwR for both PCs and SDs. We analyzed structural properties of the queries (length of the search queries, usage of query operators and special characters in health queries), types of search queries (keyword-based, wh-questions, yes/no questions), categorization of the queries based on health categories and information mentioned in the queries (gender, age-groups, temporal references), misspellings in the health queries, and the linguistic structure of the health queries. Results Query strings used for health information searching via PCs and SDs differ by almost 50%. The most searched health categories are “Symptoms” (1 in 3 search queries), “Causes”, and “Treatments & Drugs”. The distribution of search queries for different health categories differs with the device used for the search. Health queries tend to be longer and more specific than general search queries. Health queries from SDs are longer and have slightly fewer spelling mistakes than those from PCs. Users specify words related to women and children more often than that of men and any other age group. Most of the health queries are formulated using keywords; the second-most common are wh- and yes/no questions. Users ask more health questions using SDs than PCs. Almost all health queries have at least one noun and health queries from SDs are more descriptive than those from PCs. Conclusions This study is a large-scale comparative analysis of health search queries to understand the effects of device type (PCs vs SDs) used on OHISB. The study indicates that the device used for online health information search plays an important role in shaping how health information searches by consumers and patients are executed. PMID:25000537

Comparative analysis of online health queries originating from personal computers and smart devices on a consumer health information portal.

PubMed

Jadhav, Ashutosh; Andrews, Donna; Fiksdal, Alexander; Kumbamu, Ashok; McCormick, Jennifer B; Misitano, Andrew; Nelsen, Laurie; Ryu, Euijung; Sheth, Amit; Wu, Stephen; Pathak, Jyotishman

2014-07-04

The number of people using the Internet and mobile/smart devices for health information seeking is increasing rapidly. Although the user experience for online health information seeking varies with the device used, for example, smart devices (SDs) like smartphones/tablets versus personal computers (PCs) like desktops/laptops, very few studies have investigated how online health information seeking behavior (OHISB) may differ by device. The objective of this study is to examine differences in OHISB between PCs and SDs through a comparative analysis of large-scale health search queries submitted through Web search engines from both types of devices. Using the Web analytics tool, IBM NetInsight OnDemand, and based on the type of devices used (PCs or SDs), we obtained the most frequent health search queries between June 2011 and May 2013 that were submitted on Web search engines and directed users to the Mayo Clinic's consumer health information website. We performed analyses on "Queries with considering repetition counts (QwR)" and "Queries without considering repetition counts (QwoR)". The dataset contains (1) 2.74 million and 3.94 million QwoR, respectively for PCs and SDs, and (2) more than 100 million QwR for both PCs and SDs. We analyzed structural properties of the queries (length of the search queries, usage of query operators and special characters in health queries), types of search queries (keyword-based, wh-questions, yes/no questions), categorization of the queries based on health categories and information mentioned in the queries (gender, age-groups, temporal references), misspellings in the health queries, and the linguistic structure of the health queries. Query strings used for health information searching via PCs and SDs differ by almost 50%. The most searched health categories are "Symptoms" (1 in 3 search queries), "Causes", and "Treatments & Drugs". The distribution of search queries for different health categories differs with the device used for the search. Health queries tend to be longer and more specific than general search queries. Health queries from SDs are longer and have slightly fewer spelling mistakes than those from PCs. Users specify words related to women and children more often than that of men and any other age group. Most of the health queries are formulated using keywords; the second-most common are wh- and yes/no questions. Users ask more health questions using SDs than PCs. Almost all health queries have at least one noun and health queries from SDs are more descriptive than those from PCs. This study is a large-scale comparative analysis of health search queries to understand the effects of device type (PCs vs. SDs) used on OHISB. The study indicates that the device used for online health information search plays an important role in shaping how health information searches by consumers and patients are executed.

Googling suicide: surfing for suicide information on the Internet.

PubMed

Recupero, Patricia R; Harms, Samara E; Noble, Jeffrey M

2008-06-01

This study examined the types of resources a suicidal person might find through search engines on the Internet. We were especially interested in determining the accessibility of potentially harmful resources, such as prosuicide forums, as such resources have been implicated in completed suicides and are known to exist on the Web. Using 5 popular search engines (Google, Yahoo!, Ask.com, Lycos, and Dogpile) and 4 suicide-related search terms (suicide, how to commit suicide, suicide methods, and how to kill yourself), we collected quantitative and qualitative data about the search results. The searches were conducted in August and September 2006. Several coraters assigned codes and characterizations to the first 30 Web sites per search term combination (and "sponsored links" on those pages), which were then confirmed by consensus ratings. Search results were classified as being prosuicide, antisuicide, suicide-neutral, not a suicide site, or error (i.e., page would not load). Additional information was collected to further characterize the nature of the information on these Web sites. Suicide-neutral and anti-suicide pages occurred most frequently (of 373 unique Web pages, 115 were coded as suicide-neutral, and 109 were anti-suicide). While pro-suicide resources were less frequent (41 Web pages), they were nonetheless easily accessible. Detailed how-to instructions for unusual and lethal suicide methods were likewise easily located through the searches. Mental health professionals should ask patients about their Internet use. Depressed, suicidal, or potentially suicidal patients who use the Internet may be especially at risk. Clinicians may wish to assist patients in locating helpful, supportive resources online so that patients' Internet use may be more therapeutic than harmful.

An evaluation of internet use by neurosurgery patients prior to lumbar disc surgery and of information available on internet.

PubMed

Atci, Ibrahim Burak; Yilmaz, Hakan; Kocaman, Umit; Samanci, Mustafa Yavuz

2017-07-01

The aim of this study was to evaluate the Internet use of a group of lumbar disc surgery candidates in order to determine the rate of Internet search by the patients on their disorders and more importantly the reliability of the accessed websites. Fifty patients who were scheduled for lumbar disc surgery were divided into 2 groups, namely patients who accepted the surgery at the first offer and those who wanted to think over. Educational level information was obtained and patients were asked whether they had searched their disorder and offered surgery on the Internet. Then, a questionnaire was administered and the reliability of the websites was evaluated. Correction: The first 30 websites on the first 3 pages of Google ® search engine, the most commonly used search engine in Turkey, were evaluated with the DISCERN ® instrument. Of 50 patients, 33 (66%) had conducted a search for the surgery on the Internet. All university graduates, 88.2% of high school graduates, and 18.7% of primary-secondary school graduates had conducted an Internet search. The quality and reliability of the information was high (4.5 points) for 2 (7.1%) websites, moderate (2.3 points) for 6 websites (21.4%) and poor (1 point) for 20 websites (71.4%) as scored with the DISCERN ® instrument. The mean DISCERN ® score of was 1.1 for websites of health-related institutions or healthcare news, 2.75 for personal websites of physicians and 2.5 for personal websites of non-physicians. The mean DISCERN ® score of all websites was 1.5. Most of the patients undergoing lumbar disc surgery at our clinic had searched information about the surgical procedure on the Internet. We found that 92.9% of the websites evaluated with the DISCERN ® instrument had inadequate information, suggesting low-level reliability. Copyright © 2017 Elsevier B.V. All rights reserved.

Meta Search Engines.

ERIC Educational Resources Information Center

Garman, Nancy

1999-01-01

Describes common options and features to consider in evaluating which meta search engine will best meet a searcher's needs. Discusses number and names of engines searched; other sources and specialty engines; search queries; other search options; and results options. (AEF)

Helping Students Choose Tools To Search the Web.

ERIC Educational Resources Information Center

Cohen, Laura B.; Jacobson, Trudi E.

2000-01-01

Describes areas where faculty members can aid students in making intelligent use of the Web in their research. Differentiates between subject directories and search engines. Describes an engine's three components: spider, index, and search engine. Outlines two misconceptions: that Yahoo! is a search engine and that search engines contain all the…

Grooker, KartOO, Addict-o-Matic and More: Really Different Search Engines

ERIC Educational Resources Information Center

Descy, Don E.

2009-01-01

There are hundreds of unique search engines in the United States and thousands of unique search engines around the world. If people get into search engines designed just to search particular web sites, the number is in the hundreds of thousands. This article looks at: (1) clustering search engines, such as KartOO (www.kartoo.com) and Grokker…

Sandia National Laboratories: Careers: Hiring Process

Science.gov Websites

Suppliers iSupplier Account Accounts Payable Contract Information Construction & Facilities Contract Foundations Bioscience Computing & Information Science Electromagnetics Engineering Science Geoscience notifications. Visit our Careers tool to search for jobs and register for an account. Registering will enable

70 FR 69562 - Office of Environmental Information; Request for Comment and Request for Information on System...

Federal Register 2010, 2011, 2012, 2013, 2014

2005-11-16

... Reference System (TRS) [see http://www.epa.gov/trs ] in order to better support future semantic Web needs... creation of glossaries for Web pages and documents, a common vocabulary for search engines, and in the...

GEMINI: a computationally-efficient search engine for large gene expression datasets.

PubMed

DeFreitas, Timothy; Saddiki, Hachem; Flaherty, Patrick

2016-02-24

Low-cost DNA sequencing allows organizations to accumulate massive amounts of genomic data and use that data to answer a diverse range of research questions. Presently, users must search for relevant genomic data using a keyword, accession number of meta-data tag. However, in this search paradigm the form of the query - a text-based string - is mismatched with the form of the target - a genomic profile. To improve access to massive genomic data resources, we have developed a fast search engine, GEMINI, that uses a genomic profile as a query to search for similar genomic profiles. GEMINI implements a nearest-neighbor search algorithm using a vantage-point tree to store a database of n profiles and in certain circumstances achieves an [Formula: see text] expected query time in the limit. We tested GEMINI on breast and ovarian cancer gene expression data from The Cancer Genome Atlas project and show that it achieves a query time that scales as the logarithm of the number of records in practice on genomic data. In a database with 10(5) samples, GEMINI identifies the nearest neighbor in 0.05 sec compared to a brute force search time of 0.6 sec. GEMINI is a fast search engine that uses a query genomic profile to search for similar profiles in a very large genomic database. It enables users to identify similar profiles independent of sample label, data origin or other meta-data information.

Engineering With Nature Geographic Project Mapping Tool (EWN ProMap)

DTIC Science & Technology

2015-07-01

EWN ProMap database provides numerous case studies for infrastructure projects such as breakwaters, river engineering dikes, and seawalls that have...the EWN Project Mapping Tool (EWN ProMap) is to assist users in their search for case study information that can be valuable for developing EWN ideas...Essential elements of EWN include: (1) using science and engineering to produce operational efficiencies supporting sustainable delivery of

Greek Academic Librarians' Perceptions of the Impact of Google on Their Role as Information Providers

ERIC Educational Resources Information Center

Garoufallou, Emmanouel; Balatsoukas, Panos; Siatri, Rania; Zafeiriou, Georgia; Asderi, S.; Ekizoglou; P.

2008-01-01

The increased popularity of Google search engine in the daily routine in one's workplace and in the academic information seeking process is undeniable. "Googling" challenges the traditional skills of librarians as information providers and the role of library and information service provision in the digital era. This paper reports on the…

Technology for a Purpose: Technology for Information Problem-Solving with the Big6[R].

ERIC Educational Resources Information Center

Eisenberg, Mike B

2003-01-01

Explains the Big6 model of information problem solving as a conceptual framework for learning and teaching information and technology skills. Highlights include information skills; examples of integrating technology in Big6 contexts; and the Big6 and the Internet, including email, listservs, chat, Web browsers, search engines, portals, Web…

A review of parameters and heuristics for guiding metabolic pathfinding.

PubMed

Kim, Sarah M; Peña, Matthew I; Moll, Mark; Bennett, George N; Kavraki, Lydia E

2017-09-15

Recent developments in metabolic engineering have led to the successful biosynthesis of valuable products, such as the precursor of the antimalarial compound, artemisinin, and opioid precursor, thebaine. Synthesizing these traditionally plant-derived compounds in genetically modified yeast cells introduces the possibility of significantly reducing the total time and resources required for their production, and in turn, allows these valuable compounds to become cheaper and more readily available. Most biosynthesis pathways used in metabolic engineering applications have been discovered manually, requiring a tedious search of existing literature and metabolic databases. However, the recent rapid development of available metabolic information has enabled the development of automated approaches for identifying novel pathways. Computer-assisted pathfinding has the potential to save biochemists time in the initial discovery steps of metabolic engineering. In this paper, we review the parameters and heuristics used to guide the search in recent pathfinding algorithms. These parameters and heuristics capture information on the metabolic network structure, compound structures, reaction features, and organism-specificity of pathways. No one metabolic pathfinding algorithm or search parameter stands out as the best to use broadly for solving the pathfinding problem, as each method and parameter has its own strengths and shortcomings. As assisted pathfinding approaches continue to become more sophisticated, the development of better methods for visualizing pathway results and integrating these results into existing metabolic engineering practices is also important for encouraging wider use of these pathfinding methods.

Mobile medical visual information retrieval.

PubMed

Depeursinge, Adrien; Duc, Samuel; Eggel, Ivan; Müller, Henning

2012-01-01

In this paper, we propose mobile access to peer-reviewed medical information based on textual search and content-based visual image retrieval. Web-based interfaces designed for limited screen space were developed to query via web services a medical information retrieval engine optimizing the amount of data to be transferred in wireless form. Visual and textual retrieval engines with state-of-the-art performance were integrated. Results obtained show a good usability of the software. Future use in clinical environments has the potential of increasing quality of patient care through bedside access to the medical literature in context.

Noesis: Ontology based Scoped Search Engine and Resource Aggregator for Atmospheric Science

NASA Astrophysics Data System (ADS)

Ramachandran, R.; Movva, S.; Li, X.; Cherukuri, P.; Graves, S.

2006-12-01

The goal for search engines is to return results that are both accurate and complete. The search engines should find only what you really want and find everything you really want. Search engines (even meta search engines) lack semantics. The basis for search is simply based on string matching between the user's query term and the resource database and the semantics associated with the search string is not captured. For example, if an atmospheric scientist is searching for "pressure" related web resources, most search engines return inaccurate results such as web resources related to blood pressure. In this presentation Noesis, which is a meta-search engine and a resource aggregator that uses domain ontologies to provide scoped search capabilities will be described. Noesis uses domain ontologies to help the user scope the search query to ensure that the search results are both accurate and complete. The domain ontologies guide the user to refine their search query and thereby reduce the user's burden of experimenting with different search strings. Semantics are captured by refining the query terms to cover synonyms, specializations, generalizations and related concepts. Noesis also serves as a resource aggregator. It categorizes the search results from different online resources such as education materials, publications, datasets, web search engines that might be of interest to the user.

Separating the Wheat From the Chaff: An Evaluation of Readability, Quality, and Accuracy of Online Health Information for Treatment of Peyronie Disease.

PubMed

Bompastore, Nicholas J; Cisu, Theodore; Holoch, Peter

2018-04-30

To characterize available information about Peyronie disease online and evaluate its readability, quality, accuracy, and respective associations with HONcode certification and website category. The search term "Peyronie disease" was queried on 3 major search engines (Google, Bing, and Yahoo) and the first 50 search results on each search engine were assessed. All websites were categorized as institutional or reference, commercial, charitable, personal or patient support, or alternative medicine, and cross-referenced with the Health on the Net (HON) Foundation. Websites that met the inclusion criteria were analyzed for readability using 3 validated algorithms, for quality using the DISCERN instrument, and for accuracy by a fellowship-trained urologist. On average, online health information about treatment of Peyronie disease is written at or above the 11th grade level, exceeding the current reading guidelines of 6th-8th grade. The mean total DISCERN score for all website categories was 50.44 (standard deviation [SD] 11.94), the upper range of "fair" quality. The mean accuracy score of all online Peyronie treatment information was 2.76 (SD 1.23), corresponding to only 25%-50% accurate information. Both institutional or reference and HONcode-certified websites were of "good" quality (53.44, SD 11.64 and 60.86, SD 8.74, respectively). Institutional or reference websites were 50%-75% accurate (3.13, SD 1.20). Most of the online Peyronie disease treatment information is of mediocre quality and accuracy. The information from institutional or reference websites is of better quality and accuracy, and the information from HONcode-certified websites is of better quality. The mean readability of all websites exceeds the reading ability of most US adults by several grade levels. Copyright © 2018 Elsevier Inc. All rights reserved.

Patterns of Information-Seeking for Cancer on the Internet: An Analysis of Real World Data

PubMed Central

Ofran, Yishai; Paltiel, Ora; Pelleg, Dan; Rowe, Jacob M.; Yom-Tov, Elad

2012-01-01

Although traditionally the primary information sources for cancer patients have been the treating medical team, patients and their relatives increasingly turn to the Internet, though this source may be misleading and confusing. We assess Internet searching patterns to understand the information needs of cancer patients and their acquaintances, as well as to discern their underlying psychological states. We screened 232,681 anonymous users who initiated cancer-specific queries on the Yahoo Web search engine over three months, and selected for study users with high levels of interest in this topic. Searches were partitioned by expected survival for the disease being searched. We compared the search patterns of anonymous users and their contacts. Users seeking information on aggressive malignancies exhibited shorter search periods, focusing on disease- and treatment-related information. Users seeking knowledge regarding more indolent tumors searched for longer periods, alternated between different subjects, and demonstrated a high interest in topics such as support groups. Acquaintances searched for longer periods than the proband user when seeking information on aggressive (compared to indolent) cancers. Information needs can be modeled as transitioning between five discrete states, each with a unique signature representing the type of information of interest to the user. Thus, early phases of information-seeking for cancer follow a specific dynamic pattern. Areas of interest are disease dependent and vary between probands and their contacts. These patterns can be used by physicians and medical Web site authors to tailor information to the needs of patients and family members. PMID:23029317

Enlisting User Community Perspectives to Inform Development of a Semantic Web Application for Discovery of Cross-Institutional Research Information and Data

NASA Astrophysics Data System (ADS)

Johns, E. M.; Mayernik, M. S.; Boler, F. M.; Corson-Rikert, J.; Daniels, M. D.; Gross, M. B.; Khan, H.; Maull, K. E.; Rowan, L. R.; Stott, D.; Williams, S.; Krafft, D. B.

2015-12-01

Researchers seek information and data through a variety of avenues: published literature, search engines, repositories, colleagues, etc. In order to build a web application that leverages linked open data to enable multiple paths for information discovery, the EarthCollab project has surveyed two geoscience user communities to consider how researchers find and share scholarly output. EarthCollab, a cross-institutional, EarthCube funded project partnering UCAR, Cornell University, and UNAVCO, is employing the open-source semantic web software, VIVO, as the underlying technology to connect the people and resources of virtual research communities. This study will present an analysis of survey responses from members of the two case study communities: (1) the Bering Sea Project, an interdisciplinary field program whose data archive is hosted by NCAR's Earth Observing Laboratory (EOL), and (2) UNAVCO, a geodetic facility and consortium that supports diverse research projects informed by geodesy. The survey results illustrate the types of research products that respondents indicate should be discoverable within a digital platform and the current methods used to find publications, data, personnel, tools, and instrumentation. The responses showed that scientists rely heavily on general purpose search engines, such as Google, to find information, but that data center websites and the published literature were also critical sources for finding collaborators, data, and research tools.The survey participants also identify additional features of interest for an information platform such as search engine indexing, connection to institutional web pages, generation of bibliographies and CVs, and outward linking to social media. Through the survey, the user communities prioritized the type of information that is most important to display and describe their work within a research profile. The analysis of this survey will inform our further development of a platform that will facilitate different types of information discovery strategies, and help researchers to find and use the associated resources of a research project.

Augmenting Oracle Text with the UMLS for enhanced searching of free-text medical reports.

PubMed

Ding, Jing; Erdal, Selnur; Dhaval, Rakesh; Kamal, Jyoti

2007-10-11

The intrinsic complexity of free-text medical reports imposes great challenges for information retrieval systems. We have developed a prototype search engine for retrieving clinical reports that leverages the powerful indexing and querying capabilities of Oracle Text, and the rich biomedical domain knowledge and semantic structures that are captured in the UMLS Metathesaurus.

Users' Perceptions of the Web As Revealed by Transaction Log Analysis.

ERIC Educational Resources Information Center

Moukdad, Haidar; Large, Andrew

2001-01-01

Describes the results of a transaction log analysis of a Web search engine, WebCrawler, to analyze user's queries for information retrieval. Results suggest most users do not employ advanced search features, and the linguistic structure often resembles a human-human communication model that is not always successful in human-computer communication.…

Breast cancer on the world wide web: cross sectional survey of quality of information and popularity of websites

PubMed Central

Meric, Funda; Bernstam, Elmer V; Mirza, Nadeem Q; Hunt, Kelly K; Ames, Frederick C; Ross, Merrick I; Kuerer, Henry M; Pollock, Raphael E; Musen, Mark A; Singletary, S Eva

2002-01-01

Objectives To determine the characteristics of popular breast cancer related websites and whether more popular sites are of higher quality. Design The search engine Google was used to generate a list of websites about breast cancer. Google ranks search results by measures of link popularity—the number of links to a site from other sites. The top 200 sites returned in response to the query “breast cancer” were divided into “more popular” and “less popular” subgroups by three different measures of link popularity: Google rank and number of links reported independently by Google and by AltaVista (another search engine). Main outcome measures Type and quality of content. Results More popular sites according to Google rank were more likely than less popular ones to contain information on ongoing clinical trials (27% v 12%, P=0.01 ), results of trials (12% v 3%, P=0.02), and opportunities for psychosocial adjustment (48% v 23%, P<0.01). These characteristics were also associated with higher number of links as reported by Google and AltaVista. More popular sites by number of linking sites were also more likely to provide updates on other breast cancer research, information on legislation and advocacy, and a message board service. Measures of quality such as display of authorship, attribution or references, currency of information, and disclosure did not differ between groups. Conclusions Popularity of websites is associated with type rather than quality of content. Sites that include content correlated with popularity may best meet the public's desire for information about breast cancer. What is already known on this topicPatients are using the world wide web to search for health informationBreast cancer is one of the most popular search topicsCharacteristics of popular websites may reflect the information needs of patientsWhat this study addsType rather than quality of content correlates with popularity of websitesMeasures of quality correlate with accuracy of medical information PMID:11884322

Engineering Lessons Learned and Systems Engineering Applications

NASA Technical Reports Server (NTRS)

Gill, Paul S.; Garcia, Danny; Vaughan, William W.

2005-01-01

Systems Engineering is fundamental to good engineering, which in turn depends on the integration and application of engineering lessons learned. Thus, good Systems Engineering also depends on systems engineering lessons learned from within the aerospace industry being documented and applied. About ten percent of the engineering lessons learned documented in the NASA Lessons Learned Information System are directly related to Systems Engineering. A key issue associated with lessons learned datasets is the communication and incorporation of this information into engineering processes. As part of the NASA Technical Standards Program activities, engineering lessons learned datasets have been identified from a number of sources. These are being searched and screened for those having a relation to Technical Standards. This paper will address some of these Systems Engineering Lessons Learned and how they are being related to Technical Standards within the NASA Technical Standards Program, including linking to the Agency's Interactive Engineering Discipline Training Courses and the life cycle for a flight vehicle development program.

An information retrieval system for computerized patient records in the context of a daily hospital practice: the example of the Léon Bérard Cancer Center (France).

PubMed

Biron, P; Metzger, M H; Pezet, C; Sebban, C; Barthuet, E; Durand, T

2014-01-01

A full-text search tool was introduced into the daily practice of Léon Bérard Center (France), a health care facility devoted to treatment of cancer. This tool was integrated into the hospital information system by the IT department having been granted full autonomy to improve the system. To describe the development and various uses of a tool for full-text search of computerized patient records. The technology is based on Solr, an open-source search engine. It is a web-based application that processes HTTP requests and returns HTTP responses. A data processing pipeline that retrieves data from different repositories, normalizes, cleans and publishes it to Solr, was integrated in the information system of the Leon Bérard center. The IT department developed also user interfaces to allow users to access the search engine within the computerized medical record of the patient. From January to May 2013, 500 queries were launched per month by an average of 140 different users. Several usages of the tool were described, as follows: medical management of patients, medical research, and improving the traceability of medical care in medical records. The sensitivity of the tool for detecting the medical records of patients diagnosed with both breast cancer and diabetes was 83.0%, and its positive predictive value was 48.7% (gold standard: manual screening by a clinical research assistant). The project demonstrates that the introduction of full-text-search tools allowed practitioners to use unstructured medical information for various purposes.

Improving sensitivity in proteome studies by analysis of false discovery rates for multiple search engines.

PubMed

Jones, Andrew R; Siepen, Jennifer A; Hubbard, Simon J; Paton, Norman W

2009-03-01

LC-MS experiments can generate large quantities of data, for which a variety of database search engines are available to make peptide and protein identifications. Decoy databases are becoming widely used to place statistical confidence in result sets, allowing the false discovery rate (FDR) to be estimated. Different search engines produce different identification sets so employing more than one search engine could result in an increased number of peptides (and proteins) being identified, if an appropriate mechanism for combining data can be defined. We have developed a search engine independent score, based on FDR, which allows peptide identifications from different search engines to be combined, called the FDR Score. The results demonstrate that the observed FDR is significantly different when analysing the set of identifications made by all three search engines, by each pair of search engines or by a single search engine. Our algorithm assigns identifications to groups according to the set of search engines that have made the identification, and re-assigns the score (combined FDR Score). The combined FDR Score can differentiate between correct and incorrect peptide identifications with high accuracy, allowing on average 35% more peptide identifications to be made at a fixed FDR than using a single search engine.

AERIS: An Integrated Domain Information System for Aerospace Science and Technology

ERIC Educational Resources Information Center

Hatua, Sudip Ranjan; Madalli, Devika P.

2011-01-01

Purpose: The purpose of this paper is to discuss the methodology in building an integrated domain information system with illustrations that provide proof of concept. Design/methodology/approach: The present work studies the usual search engine approach to information and its pitfalls. A methodology was adopted for construction of a domain-based…

Arc-An OAI Service Provider for Digital Library Federation; Kepler-An OAI Data/Service Provider for the Individual; Information Objects and Rights Management: A Mediation-Based Approach to DRM Interoperability; Automated Name Authority Control and Enhanced Searching in the Levy Collection; Renardus Project Developments and the Wider Digital Library Context.

ERIC Educational Resources Information Center

Liu, Xiaoming; Maly, Kurt; Zubair, Mohammad; Nelson, Michael L.; Erickson, John S.; DiLauro, Tim; Choudhury, G. Sayeed; Patton, Mark; Warner, James W.; Brown, Elizabeth W.; Heery, Rachel; Carpenter, Leona; Day, Michael

2001-01-01

Includes five articles that discuss the OAI (Open Archive Initiative), an interface between data providers and service providers; information objects and digital rights management interoperability; digitizing library collections, including automated name authority control, metadata, and text searching engines; and building digital library services…

Beyond Information Retrieval: Ways To Provide Content in Context.

ERIC Educational Resources Information Center

Wiley, Deborah Lynne

1998-01-01

Provides an overview of information retrieval from mainframe systems to Web search engines; discusses collaborative filtering, data extraction, data visualization, agent technology, pattern recognition, classification and clustering, and virtual communities. Argues that rather than huge data-storage centers and proprietary software, we need…

Using internet searches for influenza surveillance.

PubMed

Polgreen, Philip M; Chen, Yiling; Pennock, David M; Nelson, Forrest D

2008-12-01

The Internet is an important source of health information. Thus, the frequency of Internet searches may provide information regarding infectious disease activity. As an example, we examined the relationship between searches for influenza and actual influenza occurrence. Using search queries from the Yahoo! search engine ( http://search.yahoo.com ) from March 2004 through May 2008, we counted daily unique queries originating in the United States that contained influenza-related search terms. Counts were divided by the total number of searches, and the resulting daily fraction of searches was averaged over the week. We estimated linear models, using searches with 1-10-week lead times as explanatory variables to predict the percentage of cultures positive for influenza and deaths attributable to pneumonia and influenza in the United States. With use of the frequency of searches, our models predicted an increase in cultures positive for influenza 1-3 weeks in advance of when they occurred (P < .001), and similar models predicted an increase in mortality attributable to pneumonia and influenza up to 5 weeks in advance (P < .001). Search-term surveillance may provide an additional tool for disease surveillance.

Using a terminology server and consumer search phrases to help patients find physicians with particular expertise.

PubMed

Cole, Curtis L; Kanter, Andrew S; Cummens, Michael; Vostinar, Sean; Naeymi-Rad, Frank

2004-01-01

To design and implement a real world application using a terminology server to assist patients and physicians who use common language search terms to find specialist physicians with a particular clinical expertise. Terminology servers have been developed to help users encoding of information using complicated structured vocabulary during data entry tasks, such as recording clinical information. We describe a methodology using Personal Health Terminology trade mark and a SNOMED CT-based hierarchical concept server. Construction of a pilot mediated-search engine to assist users who use vernacular speech in querying data which is more technical than vernacular. This approach, which combines theoretical and practical requirements, provides a useful example of concept-based searching for physician referrals.

Spiders and Worms and Crawlers, Oh My: Searching on the World Wide Web.

ERIC Educational Resources Information Center

Eagan, Ann; Bender, Laura

Searching on the world wide web can be confusing. A myriad of search engines exist, often with little or no documentation, and many of these search engines work differently from the standard search engines people are accustomed to using. Intended for librarians, this paper defines search engines, directories, spiders, and robots, and covers basics…

Dynamics of a macroscopic model characterizing mutualism of search engines and web sites

NASA Astrophysics Data System (ADS)

Wang, Yuanshi; Wu, Hong

2006-05-01

We present a model to describe the mutualism relationship between search engines and web sites. In the model, search engines and web sites benefit from each other while the search engines are derived products of the web sites and cannot survive independently. Our goal is to show strategies for the search engines to survive in the internet market. From mathematical analysis of the model, we show that mutualism does not always result in survival. We show various conditions under which the search engines would tend to extinction, persist or grow explosively. Then by the conditions, we deduce a series of strategies for the search engines to survive in the internet market. We present conditions under which the initial number of consumers of the search engines has little contribution to their persistence, which is in agreement with the results in previous works. Furthermore, we show novel conditions under which the initial value plays an important role in the persistence of the search engines and deduce new strategies. We also give suggestions for the web sites to cooperate with the search engines in order to form a win-win situation.

Seeking health information on the web: positive hypothesis testing.

PubMed

Kayhan, Varol Onur

2013-04-01

The goal of this study is to investigate positive hypothesis testing among consumers of health information when they search the Web. After demonstrating the extent of positive hypothesis testing using Experiment 1, we conduct Experiment 2 to test the effectiveness of two debiasing techniques. A total of 60 undergraduate students searched a tightly controlled online database developed by the authors to test the validity of a hypothesis. The database had four abstracts that confirmed the hypothesis and three abstracts that disconfirmed it. Findings of Experiment 1 showed that majority of participants (85%) exhibited positive hypothesis testing. In Experiment 2, we found that the recommendation technique was not effective in reducing positive hypothesis testing since none of the participants assigned to this server could retrieve disconfirming evidence. Experiment 2 also showed that the incorporation technique successfully reduced positive hypothesis testing since 75% of the participants could retrieve disconfirming evidence. Positive hypothesis testing on the Web is an understudied topic. More studies are needed to validate the effectiveness of the debiasing techniques discussed in this study and develop new techniques. Search engine developers should consider developing new options for users so that both confirming and disconfirming evidence can be presented in search results as users test hypotheses using search engines. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Pipelining Architecture of Indexing Using Agglomerative Clustering

NASA Astrophysics Data System (ADS)

Goyal, Deepika; Goyal, Deepti; Gupta, Parul

2010-11-01

The World Wide Web is an interlinked collection of billions of documents. Ironically the huge size of this collection has become an obstacle for information retrieval. To access the information from Internet, search engine is used. Search engine retrieve the pages from indexer. This paper introduce a novel pipelining technique for structuring the core index-building system that substantially reduces the index construction time and also clustering algorithm that aims at partitioning the set of documents into ordered clusters so that the documents within the same cluster are similar and are being assigned the closer document identifiers. After assigning to the clusters it creates the hierarchy of index so that searching is efficient. It will make the super cluster then mega cluster by itself. The pipeline architecture will create the index in such a way that it will be efficient in space and time saving manner. It will direct the search from higher level to lower level of index or higher level of clusters to lower level of cluster so that the user gets the possible match result in time saving manner. As one cluster is making by taking only two clusters so it search is limited to two clusters for lower level of index and so on. So it is efficient in time saving manner.

The quality of patient-orientated Internet information on oral lichen planus: a pilot study.

PubMed

López-Jornet, Pía; Camacho-Alonso, Fabio

2010-10-01

This study examines the accessibility and quality Web pages related with oral lichen planus. Sites were identified using two search engines (Google and Yahoo!) and the search terms 'oral lichen planus' and 'oral lesion lichenoid'. The first 100 sites in each search were visited and classified. The web sites were evaluated for content quality by using the validated DISCERN rating instrument. JAMA benchmarks and 'Health on the Net' seal (HON). A total of 109,000 sites were recorded in Google using the search terms and 520,000 in Yahoo! A total of 19 Web pages considered relevant were examined on Google and 20 on Yahoo! As regards the JAMA benchmarks, only two pages satisfied the four criteria in Google (10%), and only three (15%) in Yahoo! As regards DISCERN, the overall quality of web site information was poor, no site reaching the maximum score. In Google 78.94% of sites had important deficiencies, and 50% in Yahoo!, the difference between the two search engines being statistically significant (P = 0.031). Only five pages (17.2%) on Google and eight (40%) on Yahoo! showed the HON code. Based on our review, doctors must assume primary responsibility for educating and counselling their patients. © 2010 Blackwell Publishing Ltd.

Manipulating Google’s Knowledge Graph Box to Counter Biased Information Processing During an Online Search on Vaccination: Application of a Technological Debiasing Strategy

PubMed Central

Allam, Ahmed; Schulz, Peter J

2016-01-01

Background One of people’s major motives for going online is the search for health-related information. Most consumers start their search with a general search engine but are unaware of the fact that its sorting and ranking criteria do not mirror information quality. This misconception can lead to distorted search outcomes, especially when the information processing is characterized by heuristic principles and resulting cognitive biases instead of a systematic elaboration. As vaccination opponents are vocal on the Web, the chance of encountering their non‒evidence-based views on immunization is high. Therefore, biased information processing in this context can cause subsequent impaired judgment and decision making. A technological debiasing strategy could counter this by changing people’s search environment. Objective This study aims at testing a technological debiasing strategy to reduce the negative effects of biased information processing when using a general search engine on people’s vaccination-related knowledge and attitudes. This strategy is to manipulate the content of Google’s knowledge graph box, which is integrated in the search interface and provides basic information about the search topic. Methods A full 3x2 factorial, posttest-only design was employed with availability of basic factual information (comprehensible vs hardly comprehensible vs not present) as the first factor and a warning message as the second factor of experimental manipulation. Outcome variables were the evaluation of the knowledge graph box, vaccination-related knowledge, as well as beliefs and attitudes toward vaccination, as represented by three latent variables emerged from an exploratory factor analysis. Results Two-way analysis of variance revealed a significant main effect of availability of basic information in the knowledge graph box on participants’ vaccination knowledge scores (F2,273=4.86, P=.01), skepticism/fear of vaccination side effects (F2,273=3.5, P=.03), and perceived information quality (F2,273=3.73, P=.02). More specifically, respondents receiving comprehensible information appeared to be more knowledgeable, less skeptical of vaccination, and more critical of information quality compared to participants exposed to hardly comprehensible information. Although, there was no significant interaction effect between the availability of information and the presence of the warning, there was a dominant pattern in which the presence of the warning appeared to have a positive influence on the group receiving comprehensible information while the opposite was true for the groups exposed to hardly comprehensible information and no information at all. Participants evaluated the knowledge graph box as moderately to highly useful, with no significant differences among the experimental groups. Conclusion Overall, the results suggest that comprehensible information in the knowledge graph box positively affects participants’ vaccination-related knowledge and attitudes. A small change in the content retrieval procedure currently used by Google could already make a valuable difference in the pursuit of an unbiased online information search. Further research is needed to gain insights into the knowledge graph box’s entire potential. PMID:27255736

Breaking Ground: Improving Undergraduate Engineering Projects through Flipped Teaching of Literature Search Techniques

ERIC Educational Resources Information Center

Maddison, Tasha; Beneteau, Donna; Sokoloski, Brandy

2014-01-01

This case study describes the use of flipped teaching for information literacy instruction in a new course, "Drill, Blast, and Excavate GeoE 498," within the mining option for geological engineering (GeoE) students. These students will enter the mining industry with less discipline-specific knowledge than a student that graduated with a…

Strategic plan : providing high precision search to NASA employees using the NASA engineering network

NASA Technical Reports Server (NTRS)

Dutra, Jayne E.; Smith, Lisa

2006-01-01

The goal of this plan is to briefly describe new technologies available to us in the arenas of information discovery and discuss the strategic value they have for the NASA enterprise with some considerations and suggestions for near term implementations using the NASA Engineering Network (NEN) as a delivery venue.

An Exploratory Survey of Student Perspectives Regarding Search Engines

ERIC Educational Resources Information Center

Alshare, Khaled; Miller, Don; Wenger, James

2005-01-01

This study explored college students' perceptions regarding their use of search engines. The main objective was to determine how frequently students used various search engines, whether advanced search features were used, and how many search engines were used. Various factors that might influence student responses were examined. Results showed…

Cluster-Based Query Expansion Using Language Modeling for Biomedical Literature Retrieval

ERIC Educational Resources Information Center

Xu, Xuheng

2011-01-01

The tremendously huge volume of biomedical literature, scientists' specific information needs, long terms of multiples words, and fundamental problems of synonym and polysemy have been challenging issues facing the biomedical information retrieval community researchers. Search engines have significantly improved the efficiency and effectiveness of…

Quality of Web-Based Information on Cannabis Addiction

ERIC Educational Resources Information Center

Khazaal, Yasser; Chatton, Anne; Cochand, Sophie; Zullino, Daniele

2008-01-01

This study evaluated the quality of Web-based information on cannabis use and addiction and investigated particular content quality indicators. Three keywords ("cannabis addiction," "cannabis dependence," and "cannabis abuse") were entered into two popular World Wide Web search engines. Websites were assessed with a standardized proforma designed…

Information technology aided exploration of system design spaces

NASA Technical Reports Server (NTRS)

Feather, Martin S.; Kiper, James D.; Kalafat, Selcuk

2004-01-01

We report on a practical application of information technology techniques to aid system engineers effectively explore large design spaces. We make use of heuristic search, visualization and data mining, the combination of which we have implemented wtihin a risk management tool in use at JPL and NASA.

Six Wishes of a Public Service Librarian.

ERIC Educational Resources Information Center

Fescemyer, Kathy

2001-01-01

Suggests concepts related to information that would be valuable to library users, including the expenses related to information; unique qualities and characteristics of databases; limits of the Web; understanding differences between magazines and scholarly journals; search engine differences; and an appreciation for the amount and variety of…

FDRAnalysis: a tool for the integrated analysis of tandem mass spectrometry identification results from multiple search engines.

PubMed

Wedge, David C; Krishna, Ritesh; Blackhurst, Paul; Siepen, Jennifer A; Jones, Andrew R; Hubbard, Simon J

2011-04-01

Confident identification of peptides via tandem mass spectrometry underpins modern high-throughput proteomics. This has motivated considerable recent interest in the postprocessing of search engine results to increase confidence and calculate robust statistical measures, for example through the use of decoy databases to calculate false discovery rates (FDR). FDR-based analyses allow for multiple testing and can assign a single confidence value for both sets and individual peptide spectrum matches (PSMs). We recently developed an algorithm for combining the results from multiple search engines, integrating FDRs for sets of PSMs made by different search engine combinations. Here we describe a web-server and a downloadable application that makes this routinely available to the proteomics community. The web server offers a range of outputs including informative graphics to assess the confidence of the PSMs and any potential biases. The underlying pipeline also provides a basic protein inference step, integrating PSMs into protein ambiguity groups where peptides can be matched to more than one protein. Importantly, we have also implemented full support for the mzIdentML data standard, recently released by the Proteomics Standards Initiative, providing users with the ability to convert native formats to mzIdentML files, which are available to download.

FDRAnalysis: A tool for the integrated analysis of tandem mass spectrometry identification results from multiple search engines

PubMed Central

Wedge, David C; Krishna, Ritesh; Blackhurst, Paul; Siepen, Jennifer A; Jones, Andrew R.; Hubbard, Simon J.

2013-01-01

Confident identification of peptides via tandem mass spectrometry underpins modern high-throughput proteomics. This has motivated considerable recent interest in the post-processing of search engine results to increase confidence and calculate robust statistical measures, for example through the use of decoy databases to calculate false discovery rates (FDR). FDR-based analyses allow for multiple testing and can assign a single confidence value for both sets and individual peptide spectrum matches (PSMs). We recently developed an algorithm for combining the results from multiple search engines, integrating FDRs for sets of PSMs made by different search engine combinations. Here we describe a web-server, and a downloadable application, which makes this routinely available to the proteomics community. The web server offers a range of outputs including informative graphics to assess the confidence of the PSMs and any potential biases. The underlying pipeline provides a basic protein inference step, integrating PSMs into protein ambiguity groups where peptides can be matched to more than one protein. Importantly, we have also implemented full support for the mzIdentML data standard, recently released by the Proteomics Standards Initiative, providing users with the ability to convert native formats to mzIdentML files, which are available to download. PMID:21222473

Searching for a New Way to Reach Patrons: A Search Engine Optimization Pilot Project at Binghamton University Libraries

ERIC Educational Resources Information Center

Rushton, Erin E.; Kelehan, Martha Daisy; Strong, Marcy A.

2008-01-01

Search engine use is one of the most popular online activities. According to a recent OCLC report, nearly all students start their electronic research using a search engine instead of the library Web site. Instead of viewing search engines as competition, however, librarians at Binghamton University Libraries decided to employ search engine…

Teen smoking cessation help via the Internet: a survey of search engines.

PubMed

Edwards, Christine C; Elliott, Sean P; Conway, Terry L; Woodruff, Susan I

2003-07-01

The objective of this study was to assess Web sites related to teen smoking cessation on the Internet. Seven Internet search engines were searched using the keywords teen quit smoking. The top 20 hits from each search engine were reviewed and categorized. The keywords teen quit smoking produced between 35 and 400,000 hits depending on the search engine. Of 140 potential hits, 62% were active, unique sites; 85% were listed by only one search engine; and 40% focused on cessation. Findings suggest that legitimate on-line smoking cessation help for teens is constrained by search engine choice and the amount of time teens spend looking through potential sites. Resource listings should be updated regularly. Smoking cessation Web sites need to be picked up on multiple search engine searches. Further evaluation of smoking cessation Web sites need to be conducted to identify the most effective help for teens.

[Development of domain specific search engines].

PubMed

Takai, T; Tokunaga, M; Maeda, K; Kaminuma, T

2000-01-01

As cyber space exploding in a pace that nobody has ever imagined, it becomes very important to search cyber space efficiently and effectively. One solution to this problem is search engines. Already a lot of commercial search engines have been put on the market. However these search engines respond with such cumbersome results that domain specific experts can not tolerate. Using a dedicate hardware and a commercial software called OpenText, we have tried to develop several domain specific search engines. These engines are for our institute's Web contents, drugs, chemical safety, endocrine disruptors, and emergent response for chemical hazard. These engines have been on our Web site for testing.

Using the Turning Research Into Practice (TRIP) database: how do clinicians really search?*

PubMed Central

Meats, Emma; Brassey, Jon; Heneghan, Carl; Glasziou, Paul

2007-01-01

Objectives: Clinicians and patients are increasingly accessing information through Internet searches. This study aimed to examine clinicians' current search behavior when using the Turning Research Into Practice (TRIP) database to examine search engine use and the ways it might be improved. Methods: A Web log analysis was undertaken of the TRIP database—a meta-search engine covering 150 health resources including MEDLINE, The Cochrane Library, and a variety of guidelines. The connectors for terms used in searches were studied, and observations were made of 9 users' search behavior when working with the TRIP database. Results: Of 620,735 searches, most used a single term, and 12% (n = 75,947) used a Boolean operator: 11% (n = 69,006) used “AND” and 0.8% (n = 4,941) used “OR.” Of the elements of a well-structured clinical question (population, intervention, comparator, and outcome), the population was most commonly used, while fewer searches included the intervention. Comparator and outcome were rarely used. Participants in the observational study were interested in learning how to formulate better searches. Conclusions: Web log analysis showed most searches used a single term and no Boolean operators. Observational study revealed users were interested in conducting efficient searches but did not always know how. Therefore, either better training or better search interfaces are required to assist users and enable more effective searching. PMID:17443248

Decision making in family medicine

PubMed Central

Labrecque, Michel; Ratté, Stéphane; Frémont, Pierre; Cauchon, Michel; Ouellet, Jérôme; Hogg, William; McGowan, Jessie; Gagnon, Marie-Pierre; Njoya, Merlin; Légaré, France

2013-01-01

Abstract Objective To compare the ability of users of 2 medical search engines, InfoClinique and the Trip database, to provide correct answers to clinical questions and to explore the perceived effects of the tools on the clinical decision-making process. Design Randomized trial. Setting Three family medicine units of the family medicine program of the Faculty of Medicine at Laval University in Quebec city, Que. Participants Fifteen second-year family medicine residents. Intervention Residents generated 30 structured questions about therapy or preventive treatment (2 questions per resident) based on clinical encounters. Using an Internet platform designed for the trial, each resident answered 20 of these questions (their own 2, plus 18 of the questions formulated by other residents, selected randomly) before and after searching for information with 1 of the 2 search engines. For each question, 5 residents were randomly assigned to begin their search with InfoClinique and 5 with the Trip database. Main outcome measures The ability of residents to provide correct answers to clinical questions using the search engines, as determined by third-party evaluation. After answering each question, participants completed a questionnaire to assess their perception of the engine’s effect on the decision-making process in clinical practice. Results Of 300 possible pairs of answers (1 answer before and 1 after the initial search), 254 (85%) were produced by 14 residents. Of these, 132 (52%) and 122 (48%) pairs of answers concerned questions that had been assigned an initial search with InfoClinique and the Trip database, respectively. Both engines produced an important and similar absolute increase in the proportion of correct answers after searching (26% to 62% for InfoClinique, for an increase of 36%; 24% to 63% for the Trip database, for an increase of 39%; P = .68). For all 30 clinical questions, at least 1 resident produced the correct answer after searching with either search engine. The mean (SD) time of the initial search for each question was 23.5 (7.6) minutes with InfoClinique and 22.3 (7.8) minutes with the Trip database (P = .30). Participants’ perceptions of each engine’s effect on the decision-making process were very positive and similar for both search engines. Conclusion Family medicine residents’ ability to provide correct answers to clinical questions increased dramatically and similarly with the use of both InfoClinique and the Trip database. These tools have strong potential to increase the quality of medical care. PMID:24130286

Improving sensitivity in proteome studies by analysis of false discovery rates for multiple search engines

PubMed Central

Jones, Andrew R.; Siepen, Jennifer A.; Hubbard, Simon J.; Paton, Norman W.

2010-01-01

Tandem mass spectrometry, run in combination with liquid chromatography (LC-MS/MS), can generate large numbers of peptide and protein identifications, for which a variety of database search engines are available. Distinguishing correct identifications from false positives is far from trivial because all data sets are noisy, and tend to be too large for manual inspection, therefore probabilistic methods must be employed to balance the trade-off between sensitivity and specificity. Decoy databases are becoming widely used to place statistical confidence in results sets, allowing the false discovery rate (FDR) to be estimated. It has previously been demonstrated that different MS search engines produce different peptide identification sets, and as such, employing more than one search engine could result in an increased number of peptides being identified. However, such efforts are hindered by the lack of a single scoring framework employed by all search engines. We have developed a search engine independent scoring framework based on FDR which allows peptide identifications from different search engines to be combined, called the FDRScore. We observe that peptide identifications made by three search engines are infrequently false positives, and identifications made by only a single search engine, even with a strong score from the source search engine, are significantly more likely to be false positives. We have developed a second score based on the FDR within peptide identifications grouped according to the set of search engines that have made the identification, called the combined FDRScore. We demonstrate by searching large publicly available data sets that the combined FDRScore can differentiate between between correct and incorrect peptide identifications with high accuracy, allowing on average 35% more peptide identifications to be made at a fixed FDR than using a single search engine. PMID:19253293

System for Performing Single Query Searches of Heterogeneous and Dispersed Databases

NASA Technical Reports Server (NTRS)

Maluf, David A. (Inventor); Okimura, Takeshi (Inventor); Gurram, Mohana M. (Inventor); Tran, Vu Hoang (Inventor); Knight, Christopher D. (Inventor); Trinh, Anh Ngoc (Inventor)

2017-01-01

The present invention is a distributed computer system of heterogeneous databases joined in an information grid and configured with an Application Programming Interface hardware which includes a search engine component for performing user-structured queries on multiple heterogeneous databases in real time. This invention reduces overhead associated with the impedance mismatch that commonly occurs in heterogeneous database queries.

The Library's New Relevance: Fostering the First-Year Student's Acquisition, Evaluation, and Integration of Print and Electronic Materials

ERIC Educational Resources Information Center

Hlavaty, Greg; Townsend, Murphy

2010-01-01

Modern composition instructors often use and teach research methods for Internet search engines and electronic databases. It is not their intent to turn back the clock. However, if they can help students connect the world of Internet searches and the university library, they can promote information literacy in its broadest sense by developing…

Perspectives on Children's Navigation of the World Wide Web: Does the Type of Search Task Make a Difference?

ERIC Educational Resources Information Center

Bilal, Dania

2002-01-01

Reports findings of a three-part research project that examined the information seeking behavior and success of 22 seventh-grade science students in using the Web. Discusses problems encountered, including inadequate knowledge of how to use the search engine and poor level of research skills; and considers implications for Web training and system…

Quality of vascular surgery Web sites on the Internet.

PubMed

Grewal, Perbinder; Williams, Bryn; Alagaratnam, Swethan; Neffendorf, James; Soobrah, Ritish

2012-11-01

This study evaluated the readability, accessibility, usability, and reliability of vascular surgery information on the Internet in the English language. The Google, Yahoo, and MSN/Bing search engines were searched for "carotid endarterectomy," "EVAR or endovascular aneurysm repair," and "varicose veins or varicose veins surgery." The first 50 Web sites from each search engine for each topic were analyzed. The Flesch Reading Ease Score and Gunning Fog Index were calculated to assess readability. The LIDA tool (Minervation Ltd, Oxford, UK) was used to assess accessibility, usability, and reliability. The Web sites were difficult to read and comprehend. The mean Flesch Reading Ease scores were 53.53 for carotid endarterectomy, 50.53 for endovascular aneurysm repair, and 58.59 for varicose veins. The mean Gunning Fog Index scores were 12.3 for carotid endarterectomy, 12.12 for endovascular aneurysm repair, and 10.69 for varicose veins. The LIDA values for accessibility were good, but the results for usability and reliability were poor. Internet information on vascular surgical conditions and procedures is poorly written and unreliable. We suggest that health professionals should recommend Web sites that are easy to read and contain high-quality surgical information. Medical information on the Internet must be readable, accessible, usable, and reliable. Copyright © 2012 Society for Vascular Surgery. Published by Mosby, Inc. All rights reserved.

A Literature Review of Indexing and Searching Techniques Implementation in Educational Search Engines

ERIC Educational Resources Information Center

El Guemmat, Kamal; Ouahabi, Sara

2018-01-01

The objective of this article is to analyze the searching and indexing techniques of educational search engines' implementation while treating future challenges. Educational search engines could greatly help in the effectiveness of e-learning if used correctly. However, these engines have several gaps which influence the performance of e-learning…

Drexel at TREC 2014 Federated Web Search Track

DTIC Science & Technology

2014-11-01

of its input RS results. 1. INTRODUCTION Federated Web Search is the task of searching multiple search engines simultaneously and combining their...or distributed properly[5]. The goal of RS is then, for a given query, to select only the most promising search engines from all those available. Most...result pages of 149 search engines . 4000 queries are used in building the sample set. As a part of the Vertical Selection task, search engines are

The Internet and patient education--resources and their reliability: focus on a select urologic topic.

PubMed

Sacchetti, P; Zvara, P; Plante, M K

1999-06-01

The information revolution triggered by the rapid growth of the Internet has allowed healthcare providers and patients to access a rapidly expanding volume of information. To address the quality of this information, a survey of the data on a single urology-related topic available on the Internet was performed. The search on the World Wide Web (Web) was performed using the search engine HotBot and search directory Yahoo. The Web pages were assessed according to their relevancy to the topic chosen. Relevance rates were derived from the number of relevant sites divided by the total number of sites found. Relevant sites were subsequently ranked for quality on the basis of their accuracy, comprehensiveness, and objectivity. HotBot was then subsequently divided by domain, with each assessed separately. Yahoo was analyzed in its entirety. The resources were then compared for relevance and quality of information. When using the keyword "Viagra," HotBot responded with 15,109 hits. Yahoo presented 51 hits under the category, "Health: Pharmacy: Drugs and Medications: Specific Drugs and Medications: Viagra (Sildenafil)." The relevance rate for the first 50 hits in the search engine HotBot was 0.08. The relevance rates for the edu and org domains found by HotBot were 0.22 and 0.24, respectively; those for com and net were both 0.10. The relevance rate for the search directory Yahoo was 0.20. For relevant sites, the quality of the information presented was significantly higher in the Yahoo and in the HotBot domains hosted by nonprofit organizations when compared with HotBot in general and with its commercially oriented domains. HotBot overall was found to contain seven excellent sites, of which only three were found within Yahoo. Although the medical information available on the Web has proliferated at a remarkable rate, the number of Web sites providing complete, nonbiased information continues to represent only a small portion of the total. We have shown that the search directory Yahoo reduced the number of irrelevant sites significantly, but at the same time, some very valuable information available in HotBot was missing. At present, it may be useful to conduct searches within Yahoo followed by a review of both the edu and org HotBot domains.

Ten Most Searched Databases by a Business Generalist--Part 1 or A Day in the Life of....

ERIC Educational Resources Information Center

Meredith, Meri

1986-01-01

Describes databases frequently used in Business Information Center, Cummins Engine Company (Columbus, Indiana): Dun and Bradstreet Business Information Report System, Newsearch, Dun and Bradstreet Market Identifiers, Trade and Industry Index, PTS PROMT, Bureau of Labor Statistics files, ABI/INFORM, Magazine Index, NEXIS, Dow Jones News/Retrieval.…

Query Enhancement with Topic Detection and Disambiguation for Robust Retrieval

ERIC Educational Resources Information Center

Zhang, Hui

2013-01-01

With the rapid increase in the amount of available information, people nowadays rely heavily on information retrieval (IR) systems such as web search engine to fulfill their information needs. However, due to the lack of domain knowledge and the limitation of natural language such as synonyms and polysemes, many system users cannot formulate their…

A Search Relevance Algorithm for Weather Effects Products

DTIC Science & Technology

2006-12-29

accessed) are often search engines [4] [5]. This suggests that people are navigating the internet by searching and not through the traditional...geographic location. Unlike traditional search engines a Federated Search Engine does not scour all the data available and return matches. Instead...gold standard in search engines . However, its ranking system is based, largely, on a measure of interconnectedness. A page that is referenced more

Linking young men who have sex with men (YMSM) to STI physicians: a nationwide cross-sectional survey in China.

PubMed

Cao, Bolin; Zhao, Peipei; Bien, Cedric; Pan, Stephen; Tang, Weiming; Watson, Julia; Mi, Guodong; Ding, Yi; Luo, Zhenzhou; Tucker, Joseph D

2018-05-18

Many young men who have sex with men (YMSM) are reluctant to seek health services and trust local physicians. Online information seeking may encourage YMSM to identify and see trustworthy physicians, obtain sexual health services, and obtain testing for sexually transmitted infections (STIs). This study examined online STI information seeking behaviors among Chinese YMSM and its association with offline physician visits. We conducted a nationwide online survey among YMSM through WeChat, the largest social media platform in China. We collected information on individual demographics, sexual behaviors, online STI information seeking, offline STI testing, and STI physician visits. We examined the most commonly used platforms (search engines, governmental websites, counseling websites, generic social media, gay mobile apps, and mobile medical apps) and their trustworthiness. We assessed interest and willingness to use an MSM-friendly physician finder function embedded within a gay mobile app. Logistic regression models were used to examine the correlation between online STI information searching and offline physician visits. A total of 503 men completed the survey. Most men (425/503, 84.5%) searched for STI information online. The most commonly used platform to obtain STI information were search engines (402/425, 94.5%), followed by gay mobile apps (201/425, 47.3%). Men reported high trustworthiness of information received from gay mobile apps. Men also reported high interest (465/503, 92.4%) and willingness (463/503, 92.0%) to use a MSM-friendly physician finder function within such apps. Both using general social media (aOR =1.14, 95%CI: 1.04-1.26) and mobile medical apps (aOR =1.16, 95%CI: 1.01-1.34) for online information seeking were associated with visiting a physician. Online STI information seeking is common and correlated with visiting a physician among YMSM. Cultivating partnerships with the emerging mobile medical apps may be useful for disseminating STI information and providing better physician services to YMSM.

Concept similarity and related categories in information retrieval using formal concept analysis

NASA Astrophysics Data System (ADS)

Eklund, P.; Ducrou, J.; Dau, F.

2012-11-01

The application of formal concept analysis to the problem of information retrieval has been shown useful but has lacked any real analysis of the idea of relevance ranking of search results. SearchSleuth is a program developed to experiment with the automated local analysis of Web search using formal concept analysis. SearchSleuth extends a standard search interface to include a conceptual neighbourhood centred on a formal concept derived from the initial query. This neighbourhood of the concept derived from the search terms is decorated with its upper and lower neighbours representing more general and special concepts, respectively. SearchSleuth is in many ways an archetype of search engines based on formal concept analysis with some novel features. In SearchSleuth, the notion of related categories - which are themselves formal concepts - is also introduced. This allows the retrieval focus to shift to a new formal concept called a sibling. This movement across the concept lattice needs to relate one formal concept to another in a principled way. This paper presents the issues concerning exploring, searching, and ordering the space of related categories. The focus is on understanding the use and meaning of proximity and semantic distance in the context of information retrieval using formal concept analysis.

An Hour with the Internet Curmudgeon.

ERIC Educational Resources Information Center

Morgovsky, Joel

While the Internet undeniably contains an enormous amount of information, community colleges should consider some key issues before joining the headlong rush toward virtual classrooms. First, information can be very difficult to find on the Internet. Although search engines, web databases, and subject directories have been developed to help users…

Inordinate Fondness: The Feds and the Internet.

ERIC Educational Resources Information Center

Morehead, Joe

1997-01-01

Examines the move to make U. S. government information available solely in an electronic format. Discusses inability of general purpose search engines to access the information; shift of cost to the consumer; the online version of the "Monthly Catalog of United States Government Publications"; federal statistics; Agency Web sites; and a…

Social Networking on the Semantic Web

ERIC Educational Resources Information Center

Finin, Tim; Ding, Li; Zhou, Lina; Joshi, Anupam

2005-01-01

Purpose: Aims to investigate the way that the semantic web is being used to represent and process social network information. Design/methodology/approach: The Swoogle semantic web search engine was used to construct several large data sets of Resource Description Framework (RDF) documents with social network information that were encoded using the…

Information Portals: The Next Generation Catalog

ERIC Educational Resources Information Center

Allison, DeeAnn

2010-01-01

Libraries today face an increasing challenge: to provide relevant information to diverse populations with differing needs while competing with Web search engines like Google. In 2009, a large group of libraries, including the University of Nebraska-Lincoln Libraries, joined with Innovative Interfaces as development partners to design a new type of…

A Nugget-Based Test Collection Construction Paradigm

ERIC Educational Resources Information Center

Rajput, Shahzad K.

2012-01-01

The problem of building test collections is central to the development of information retrieval systems such as search engines. The primary use of test collections is the evaluation of IR systems. The widely employed "Cranfield paradigm" dictates that the information relevant to a topic be encoded at the level of documents, therefore…

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea.

PubMed

Woo, Hyekyung; Cho, Youngtae; Shim, Eunyoung; Lee, Jong-Koo; Lee, Chang-Gun; Kim, Seong Hwan

2016-07-04

As suggested as early as in 2006, logs of queries submitted to search engines seeking information could be a source for detection of emerging influenza epidemics if changes in the volume of search queries are monitored (infodemiology). However, selecting queries that are most likely to be associated with influenza epidemics is a particular challenge when it comes to generating better predictions. In this study, we describe a methodological extension for detecting influenza outbreaks using search query data; we provide a new approach for query selection through the exploration of contextual information gleaned from social media data. Additionally, we evaluate whether it is possible to use these queries for monitoring and predicting influenza epidemics in South Korea. Our study was based on freely available weekly influenza incidence data and query data originating from the search engine on the Korean website Daum between April 3, 2011 and April 5, 2014. To select queries related to influenza epidemics, several approaches were applied: (1) exploring influenza-related words in social media data, (2) identifying the chief concerns related to influenza, and (3) using Web query recommendations. Optimal feature selection by least absolute shrinkage and selection operator (Lasso) and support vector machine for regression (SVR) were used to construct a model predicting influenza epidemics. In total, 146 queries related to influenza were generated through our initial query selection approach. A considerable proportion of optimal features for final models were derived from queries with reference to the social media data. The SVR model performed well: the prediction values were highly correlated with the recent observed influenza-like illness (r=.956; P<.001) and virological incidence rate (r=.963; P<.001). These results demonstrate the feasibility of using search queries to enhance influenza surveillance in South Korea. In addition, an approach for query selection using social media data seems ideal for supporting influenza surveillance based on search query data.

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

PubMed Central

Woo, Hyekyung; Shim, Eunyoung; Lee, Jong-Koo; Lee, Chang-Gun; Kim, Seong Hwan

2016-01-01

Background As suggested as early as in 2006, logs of queries submitted to search engines seeking information could be a source for detection of emerging influenza epidemics if changes in the volume of search queries are monitored (infodemiology). However, selecting queries that are most likely to be associated with influenza epidemics is a particular challenge when it comes to generating better predictions. Objective In this study, we describe a methodological extension for detecting influenza outbreaks using search query data; we provide a new approach for query selection through the exploration of contextual information gleaned from social media data. Additionally, we evaluate whether it is possible to use these queries for monitoring and predicting influenza epidemics in South Korea. Methods Our study was based on freely available weekly influenza incidence data and query data originating from the search engine on the Korean website Daum between April 3, 2011 and April 5, 2014. To select queries related to influenza epidemics, several approaches were applied: (1) exploring influenza-related words in social media data, (2) identifying the chief concerns related to influenza, and (3) using Web query recommendations. Optimal feature selection by least absolute shrinkage and selection operator (Lasso) and support vector machine for regression (SVR) were used to construct a model predicting influenza epidemics. Results In total, 146 queries related to influenza were generated through our initial query selection approach. A considerable proportion of optimal features for final models were derived from queries with reference to the social media data. The SVR model performed well: the prediction values were highly correlated with the recent observed influenza-like illness (r=.956; P<.001) and virological incidence rate (r=.963; P<.001). Conclusions These results demonstrate the feasibility of using search queries to enhance influenza surveillance in South Korea. In addition, an approach for query selection using social media data seems ideal for supporting influenza surveillance based on search query data. PMID:27377323

A search engine to access PubMed monolingual subsets: proof of concept and evaluation in French.

PubMed

Griffon, Nicolas; Schuers, Matthieu; Soualmia, Lina Fatima; Grosjean, Julien; Kerdelhué, Gaétan; Kergourlay, Ivan; Dahamna, Badisse; Darmoni, Stéfan Jacques

2014-12-01

PubMed contains numerous articles in languages other than English. However, existing solutions to access these articles in the language in which they were written remain unconvincing. The aim of this study was to propose a practical search engine, called Multilingual PubMed, which will permit access to a PubMed subset in 1 language and to evaluate the precision and coverage for the French version (Multilingual PubMed-French). To create this tool, translations of MeSH were enriched (eg, adding synonyms and translations in French) and integrated into a terminology portal. PubMed subsets in several European languages were also added to our database using a dedicated parser. The response time for the generic semantic search engine was evaluated for simple queries. BabelMeSH, Multilingual PubMed-French, and 3 different PubMed strategies were compared by searching for literature in French. Precision and coverage were measured for 20 randomly selected queries. The results were evaluated as relevant to title and abstract, the evaluator being blind to search strategy. More than 650,000 PubMed citations in French were integrated into the Multilingual PubMed-French information system. The response times were all below the threshold defined for usability (2 seconds). Two search strategies (Multilingual PubMed-French and 1 PubMed strategy) showed high precision (0.93 and 0.97, respectively), but coverage was 4 times higher for Multilingual PubMed-French. It is now possible to freely access biomedical literature using a practical search tool in French. This tool will be of particular interest for health professionals and other end users who do not read or query sufficiently in English. The information system is theoretically well suited to expand the approach to other European languages, such as German, Spanish, Norwegian, and Portuguese.

A Search Engine to Access PubMed Monolingual Subsets: Proof of Concept and Evaluation in French

PubMed Central

Schuers, Matthieu; Soualmia, Lina Fatima; Grosjean, Julien; Kerdelhué, Gaétan; Kergourlay, Ivan; Dahamna, Badisse; Darmoni, Stéfan Jacques

2014-01-01

Background PubMed contains numerous articles in languages other than English. However, existing solutions to access these articles in the language in which they were written remain unconvincing. Objective The aim of this study was to propose a practical search engine, called Multilingual PubMed, which will permit access to a PubMed subset in 1 language and to evaluate the precision and coverage for the French version (Multilingual PubMed-French). Methods To create this tool, translations of MeSH were enriched (eg, adding synonyms and translations in French) and integrated into a terminology portal. PubMed subsets in several European languages were also added to our database using a dedicated parser. The response time for the generic semantic search engine was evaluated for simple queries. BabelMeSH, Multilingual PubMed-French, and 3 different PubMed strategies were compared by searching for literature in French. Precision and coverage were measured for 20 randomly selected queries. The results were evaluated as relevant to title and abstract, the evaluator being blind to search strategy. Results More than 650,000 PubMed citations in French were integrated into the Multilingual PubMed-French information system. The response times were all below the threshold defined for usability (2 seconds). Two search strategies (Multilingual PubMed-French and 1 PubMed strategy) showed high precision (0.93 and 0.97, respectively), but coverage was 4 times higher for Multilingual PubMed-French. Conclusions It is now possible to freely access biomedical literature using a practical search tool in French. This tool will be of particular interest for health professionals and other end users who do not read or query sufficiently in English. The information system is theoretically well suited to expand the approach to other European languages, such as German, Spanish, Norwegian, and Portuguese. PMID:25448528

RadSearch: a RIS/PACS integrated query tool

NASA Astrophysics Data System (ADS)

Tsao, Sinchai; Documet, Jorge; Moin, Paymann; Wang, Kevin; Liu, Brent J.

2008-03-01

Radiology Information Systems (RIS) contain a wealth of information that can be used for research, education, and practice management. However, the sheer amount of information available makes querying specific data difficult and time consuming. Previous work has shown that a clinical RIS database and its RIS text reports can be extracted, duplicated and indexed for searches while complying with HIPAA and IRB requirements. This project's intent is to provide a software tool, the RadSearch Toolkit, to allow intelligent indexing and parsing of RIS reports for easy yet powerful searches. In addition, the project aims to seamlessly query and retrieve associated images from the Picture Archiving and Communication System (PACS) in situations where an integrated RIS/PACS is in place - even subselecting individual series, such as in an MRI study. RadSearch's application of simple text parsing techniques to index text-based radiology reports will allow the search engine to quickly return relevant results. This powerful combination will be useful in both private practice and academic settings; administrators can easily obtain complex practice management information such as referral patterns; researchers can conduct retrospective studies with specific, multiple criteria; teaching institutions can quickly and effectively create thorough teaching files.

Towards PubMed 2.0.

PubMed

Fiorini, Nicolas; Lipman, David J; Lu, Zhiyong

2017-10-30

Staff from the National Center for Biotechnology Information in the US describe recent improvements to the PubMed search engine and outline plans for the future, including a new experimental site called PubMed Labs.

Assessment of the quality of patient-orientated internet information on surgery for ulcerative colitis.

PubMed

Sacchi, M; Yeung, T M; Spinelli, A; Mortensen, N J

2015-06-01

This study examines the quality of websites providing information on ulcerative colitis, including treatment options and surgery. Two search engines (Google and Yahoo) and the search term 'surgery for ulcerative colitis' were used. The first 50 sites obtained with each search engine were assessed. Sites were evaluated for content and scored using the DISCERN instrument, which evaluates the quality of health information on treatment choices. One hundred sites were examined, of which 14 were duplicates. Of the remainder, 58 provided patient-orientated information for adults and one site provided information for surgery in children. The other 27 sites included six scientific articles, three blogs, three links, six resources for clinicians, five fora, two video links and two dead links. Of the 58 websites that provided patient information for adults, only 26 (44.8%) had been updated within the last 2 years. Only 13/58 (22.4%) were affiliated to hospitals and clinics. Most sites (38/58, 65.5%) were associated with private companies with commercial interests. Although most websites contained information on symptoms and treatment options for ulcerative colitis, 37 (63.8%) did not describe any of the risks of surgery. Overall, only seven (12.1%) websites were identified as being 'good' or 'excellent' using the DISCERN criteria. The quality of patient information on surgery for ulcerative colitis is highly variable. There is potential for internet provision of valuable information and clinicians should guide patients with to access high-quality websites. Colorectal Disease © 2014 The Association of Coloproctology of Great Britain and Ireland.

Aircraft gas-turbine engines: Noise reduction and vibration control. (Latest citations from Information Services in Mechanical Engineering data base). Published Search

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1992-06-01

The bibliography contains citations concerning the design and analysis of aircraft gas turbine engines with respect to noise and vibration control. Included are studies regarding the measurement and reduction of noise at its source, within the aircraft, and on the ground. Inlet, nozzle and core aerodynamic studies are cited. Propfan, turbofan, turboprop engines, and applications in short take-off and landing (STOL) aircraft are included. (Contains a minimum of 202 citations and includes a subject term index and title list.)

Suicide rates and information seeking via search engines: A cross-national correlational approach.

PubMed

Arendt, Florian

2018-09-01

The volume of Google searches for suicide-related terms is positively associated with suicide rates, but previous studies used data from specific, restricted geographical contexts, thus, limiting the generalizability of this finding. We investigated the correlation between suicide-related search volume and suicide rates of 50 nations from five continents. We found a positive correlation between suicide rates and search volume, even after controlling for the level of industrialization. Results give credence to the global existence of a correlation. However, the reason why suicide-related search volume is higher in countries with higher suicide rates is still unclear and up to future research.

The quality of internet sites providing information relating to oral cancer.

PubMed

López-Jornet, Pia; Camacho-Alonso, Fabio

2009-09-01

To determine the quality of the information available on the internet in relation to oral cancer. Sites were identified using two search engines (Google and Yahoo), and the search term "oral cancer". The first 100 consecutive sites in each search were visited and classified. The websites were evaluated for quality of content by using the validated DISCERN rating instrument and the JAMA benchmarks; the existence of the Health on the Net (HON) seal was also registered. The Google search yielded 25,70,000 sites for oral cancer, while Yahoo yielded 6,99,00,000. We reviewed 29 Google websites and 22 Yahoo websites. Based on the JAMA benchmarks, only two sites (6.9%) met the four criteria in the Google search, versus a single site (4.5%) in the Yahoo search. As regards the DISCERN instrument, no site obtained the maximum score. Moreover, in the Google search, 72.5% of the sites had serious deficiencies, versus 68.2% of the Yahoo sites. Lastly, eight of the Google sites (27.6%) and four of the Yahoo sites (18.2%) presented the HON seal. The quality of the healthcare information related to oral cancer on the internet is poor. There is a need to be vigilant about the quality of information found on the internet.

Seeking Web-Based Information About Attention Deficit Hyperactivity Disorder: Where, What, and When

PubMed Central

2017-01-01

Background Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder, prevalent among 2-10% of the population. Objective The objective of this study was to describe where, what, and when people search online for topics related to ADHD. Methods Data were collected from Microsoft’s Bing search engine and from the community question and answer site, Yahoo Answers. The questions were analyzed based on keywords and using further statistical methods. Results Our results revealed that the Internet indeed constitutes a source of information for people searching the topic of ADHD, and that they search for information mostly about ADHD symptoms. Furthermore, individuals personally affected by the disorder made 2.0 more questions about ADHD compared with others. Questions begin when children reach 2 years of age, with an average age of 5.1 years. Most of the websites searched were not specifically related to ADHD and the timing of searches as well as the query content were different among those prediagnosis compared with postdiagnosis. Conclusions The study results shed light on the features of ADHD-related searches. Thus, they may help improve the Internet as a source of reliable information, and promote improved awareness and knowledge about ADHD as well as quality of life for populations dealing with the complex phenomena of ADHD. PMID:28432038

"There is nothing like looking, if you want to find something" - asking questions and searching for answers - the evidence based approach.

PubMed

Haroon, Munib; Phillips, Robert

2010-04-01

Evidence based medicine (EBM) consists of four separate processes. Asking a clinical question Locating the evidence Appraising and synthesizing the evidence Applying the evidence Most people are familiar with the third step but not so familiar with the first two. Well-designed clinical questions can help clarify in a clinicians mind exactly what information is being sought and also help with the search. This clinical question can be framed around the PICO format. With a well-structured PICO information can then be located in a timely manner using the concept of Haynes's 5 S's and a range of websites including trial registers and meta-search engines.

Security Vs. Liberty: How to Measure Privacy Costs in Domestic Surveillance Programs

DTIC Science & Technology

2014-03-01

FBI’s definition, a rabble-rouser was “a person who tries to arouse people to violent action by appealing to their emotions , prejudices, et cetera.”55...information through a search engine 91 Send or receive email 88 Search a map or get driving directions 84 Read the news 78 Research health information 72...necessary to understand the value of the foreign intelligence, it is evidence of a crime, or it “indicates a threat of death or serious bodily harm.”187

Locality in Search Engine Queries and Its Implications for Caching

DTIC Science & Technology

2001-05-01

in the question of whether caching might be effective for search engines as well. They study two real search engine traces by examining query...locality and its implications for caching. The two search engines studied are Vivisimo and Excite. Their trace analysis results show that queries have

Pure random search for ambient sensor distribution optimisation in a smart home environment.

PubMed

Poland, Michael P; Nugent, Chris D; Wang, Hui; Chen, Liming

2011-01-01

Smart homes are living spaces facilitated with technology to allow individuals to remain in their own homes for longer, rather than be institutionalised. Sensors are the fundamental physical layer with any smart home, as the data they generate is used to inform decision support systems, facilitating appropriate actuator actions. Positioning of sensors is therefore a fundamental characteristic of a smart home. Contemporary smart home sensor distribution is aligned to either a) a total coverage approach; b) a human assessment approach. These methods for sensor arrangement are not data driven strategies, are unempirical and frequently irrational. This Study hypothesised that sensor deployment directed by an optimisation method that utilises inhabitants' spatial frequency data as the search space, would produce more optimal sensor distributions vs. the current method of sensor deployment by engineers. Seven human engineers were tasked to create sensor distributions based on perceived utility for 9 deployment scenarios. A Pure Random Search (PRS) algorithm was then tasked to create matched sensor distributions. The PRS method produced superior distributions in 98.4% of test cases (n=64) against human engineer instructed deployments when the engineers had no access to the spatial frequency data, and in 92.0% of test cases (n=64) when engineers had full access to these data. These results thus confirmed the hypothesis.

Non-invasive lightweight integration engine for building EHR from autonomous distributed systems.

PubMed

Angulo, Carlos; Crespo, Pere; Maldonado, José A; Moner, David; Pérez, Daniel; Abad, Irene; Mandingorra, Jesús; Robles, Montserrat

2007-12-01

In this paper we describe Pangea-LE, a message-oriented lightweight data integration engine that allows homogeneous and concurrent access to clinical information from disperse and heterogeneous data sources. The engine extracts the information and passes it to the requesting client applications in a flexible XML format. The XML response message can be formatted on demand by appropriate Extensible Stylesheet Language (XSL) transformations in order to meet the needs of client applications. We also present a real deployment in a hospital where Pangea-LE collects and generates an XML view of all the available patient clinical information. The information is presented to healthcare professionals in an Electronic Health Record (EHR) viewer Web application with patient search and EHR browsing capabilities. Implantation in a real setting has been a success due to the non-invasive nature of Pangea-LE which respects the existing information systems.

Non-invasive light-weight integration engine for building EHR from autonomous distributed systems.

PubMed

Crespo Molina, Pere; Angulo Fernández, Carlos; Maldonado Segura, José A; Moner Cano, David; Robles Viejo, Montserrat

2006-01-01

Pangea-LE is a message oriented light-weight integration engine, allowing concurrent access to clinical information from disperse and heterogeneous data sources. The engine extracts the information and serves it to the requester client applications in a flexible XML format. This XML response message can be formatted on demand by the appropriate XSL (Extensible Stylesheet Language) transformation in order to fit client application needs. In this article we present a real use case sample where Pangea-LE collects and generates "on the fly" a structured view of all the patient clinical information available in a healthcare organisation. This information is presented to healthcare professionals in an EHR (Electronic Health Record) viewer Web application with patient search and EHR browsing capabilities. Implantation in a real environment has been a notable success due to the non-invasive method which extremely respects the existing information systems.

Effectiveness of training intervention to improve medical student's information literacy skills.

PubMed

Abdekhoda, Mohammadhiwa; Dehnad, Afsaneh; Yousefi, Mahmood

2016-12-01

This study aimed to assess the efficiency of delivering a 4-month course of "effective literature search" among medical postgraduate students for improving information literacy skills. This was a cross-sectional study in which 90 postgraduate students were randomly selected and participated in 12 training sessions. Effective search strategies were presented and the students' attitude and competency concerning online search were measured by a pre- and post-questionnaires and skill tests. Data were analyzed by SPSS version 16 using t-test. There was a significant improvement (p=0.00), in student's attitude. The mean (standard deviation [SD]) was 2.9 (0.8) before intervention versus the mean (SD) 3.9 (0.7) after intervention. Students' familiarity with medical resources and databases improved significantly. The data showed a significant increase (p=0.03), in students' competency score concerning search strategy design and conducting a search. The mean (SD) was 2.04 (0.7) before intervention versus the mean (SD) 3.07 (0.8) after intervention. Also, students' ability in applying search and meta search engine improved significantly. This study clearly acknowledges that the training intervention provides considerable opportunity to improve medical student's information literacy skills.

Towards PubMed 2.0

PubMed Central

Fiorini, Nicolas; Lipman, David J; Lu, Zhiyong

2017-01-01

Staff from the National Center for Biotechnology Information in the US describe recent improvements to the PubMed search engine and outline plans for the future, including a new experimental site called PubMed Labs. PMID:29083299

Image search engine with selective filtering and feature-element-based classification

NASA Astrophysics Data System (ADS)

Li, Qing; Zhang, Yujin; Dai, Shengyang

2001-12-01

With the growth of Internet and storage capability in recent years, image has become a widespread information format in World Wide Web. However, it has become increasingly harder to search for images of interest, and effective image search engine for the WWW needs to be developed. We propose in this paper a selective filtering process and a novel approach for image classification based on feature element in the image search engine we developed for the WWW. First a selective filtering process is embedded in a general web crawler to filter out the meaningless images with GIF format. Two parameters that can be obtained easily are used in the filtering process. Our classification approach first extract feature elements from images instead of feature vectors. Compared with feature vectors, feature elements can better capture visual meanings of the image according to subjective perception of human beings. Different from traditional image classification method, our classification approach based on feature element doesn't calculate the distance between two vectors in the feature space, while trying to find associations between feature element and class attribute of the image. Experiments are presented to show the efficiency of the proposed approach.

The Invisible Web: Uncovering Information Sources Search Engines Can't See.

ERIC Educational Resources Information Center

Sherman, Chris; Price, Gary

This book takes a detailed look at the nature and extent of the Invisible Web, and offers pathfinders for accessing the valuable information it contains. It is designed to fit the needs of both novice and advanced Web searchers. Chapter One traces the development of the Internet and many of the early tools used to locate and share information via…

Evaluation of Proteomic Search Engines for the Analysis of Histone Modifications

PubMed Central

2015-01-01

Identification of histone post-translational modifications (PTMs) is challenging for proteomics search engines. Including many histone PTMs in one search increases the number of candidate peptides dramatically, leading to low search speed and fewer identified spectra. To evaluate database search engines on identifying histone PTMs, we present a method in which one kind of modification is searched each time, for example, unmodified, individually modified, and multimodified, each search result is filtered with false discovery rate less than 1%, and the identifications of multiple search engines are combined to obtain confident results. We apply this method for eight search engines on histone data sets. We find that two search engines, pFind and Mascot, identify most of the confident results at a reasonable speed, so we recommend using them to identify histone modifications. During the evaluation, we also find some important aspects for the analysis of histone modifications. Our evaluation of different search engines on identifying histone modifications will hopefully help those who are hoping to enter the histone proteomics field. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium with the data set identifier PXD001118. PMID:25167464

Evaluation of proteomic search engines for the analysis of histone modifications.

PubMed

Yuan, Zuo-Fei; Lin, Shu; Molden, Rosalynn C; Garcia, Benjamin A

2014-10-03

Identification of histone post-translational modifications (PTMs) is challenging for proteomics search engines. Including many histone PTMs in one search increases the number of candidate peptides dramatically, leading to low search speed and fewer identified spectra. To evaluate database search engines on identifying histone PTMs, we present a method in which one kind of modification is searched each time, for example, unmodified, individually modified, and multimodified, each search result is filtered with false discovery rate less than 1%, and the identifications of multiple search engines are combined to obtain confident results. We apply this method for eight search engines on histone data sets. We find that two search engines, pFind and Mascot, identify most of the confident results at a reasonable speed, so we recommend using them to identify histone modifications. During the evaluation, we also find some important aspects for the analysis of histone modifications. Our evaluation of different search engines on identifying histone modifications will hopefully help those who are hoping to enter the histone proteomics field. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium with the data set identifier PXD001118.

Creation of a ceramics handbook

NASA Technical Reports Server (NTRS)

Craft, W. J.

1976-01-01

A group of common ceramic materials (alumina, magnesium oxide, silicon nitride, and silicon carbide) were characterized through literature searches according to their physical properties. The files used were the NASA file, DDC/GRA File, Engineering Index File and standard library searches. The results of these searches are arranged by material properties including mechanical, electrical, electromagnetic, where applicable, and fracture; and the entries are arranged in chronological order by candidate. A list, by author, follows where tabular information including charts and figures of results is given along with a brief statement of the results and conclusions. In both cases, information on the independent variables along with their range is given. The results of an extensive industry survey asking for names of other candidates on which information is lacking and also what type of service, if any, is desired in keeping a current information file on general ceramic materials.

Adolescents and the internet: health and sexuality information.

PubMed

Gray, Nicola J; Klein, Jonathan D

2006-10-01

Adolescents are known to be frequent users of the Internet, but less is known about the frequency and nature of their searches for information about health and sexuality. In theory, the Internet offers adolescents unprecedented access to such information in a convenient and confidential way. In turn, this information may help them to seek medical care or advice. This article reviews new research relating to adolescents' uses of the Internet for health and sexuality information, including contextual adult population studies. Adolescents are using the Internet in order to find health information on a range of subjects. Search engines are the primary strategy for such searches. The quality of the online experience is often limited by health/online literacy skills. The only reference to adolescents' quests for online information about sexuality was that they frequently sought this information from a Web site created primarily to provide information about sexually transmitted diseases. Empirical research with adolescents on this subject is scarce. More research is needed regarding issues such as the impact of software filters on ability to access health information and the medium's potential to help and harm adolescents.

Technologies That Assess the Location of Physical Activity and Sedentary Behavior: A Systematic Review.

PubMed

Loveday, Adam; Sherar, Lauren B; Sanders, James P; Sanderson, Paul W; Esliger, Dale W

2015-08-05

The location in which physical activity and sedentary behavior are performed can provide valuable behavioral information, both in isolation and synergistically with other areas of physical activity and sedentary behavior research. Global positioning systems (GPS) have been used in physical activity research to identify outdoor location; however, while GPS can receive signals in certain indoor environments, it is not able to provide room- or subroom-level location. On average, adults spend a high proportion of their time indoors. A measure of indoor location would, therefore, provide valuable behavioral information. This systematic review sought to identify and critique technology which has been or could be used to assess the location of physical activity and sedentary behavior. To identify published research papers, four electronic databases were searched using key terms built around behavior, technology, and location. To be eligible for inclusion, papers were required to be published in English and describe a wearable or portable technology or device capable of measuring location. Searches were performed up to February 4, 2015. This was supplemented by backward and forward reference searching. In an attempt to include novel devices which may not yet have made their way into the published research, searches were also performed using three Internet search engines. Specialized software was used to download search results and thus mitigate the potential pitfalls of changing search algorithms. A total of 188 research papers met the inclusion criteria. Global positioning systems were the most widely used location technology in the published research, followed by wearable cameras, and radio-frequency identification. Internet search engines identified 81 global positioning systems, 35 real-time locating systems, and 21 wearable cameras. Real-time locating systems determine the indoor location of a wearable tag via the known location of reference nodes. Although the type of reference node and location determination method varies between manufacturers, Wi-Fi appears to be the most popular method. The addition of location information to existing measures of physical activity and sedentary behavior will provide important behavioral information.

Technologies That Assess the Location of Physical Activity and Sedentary Behavior: A Systematic Review

PubMed Central

Sherar, Lauren B; Sanders, James P; Sanderson, Paul W; Esliger, Dale W

2015-01-01

Background The location in which physical activity and sedentary behavior are performed can provide valuable behavioral information, both in isolation and synergistically with other areas of physical activity and sedentary behavior research. Global positioning systems (GPS) have been used in physical activity research to identify outdoor location; however, while GPS can receive signals in certain indoor environments, it is not able to provide room- or subroom-level location. On average, adults spend a high proportion of their time indoors. A measure of indoor location would, therefore, provide valuable behavioral information. Objective This systematic review sought to identify and critique technology which has been or could be used to assess the location of physical activity and sedentary behavior. Methods To identify published research papers, four electronic databases were searched using key terms built around behavior, technology, and location. To be eligible for inclusion, papers were required to be published in English and describe a wearable or portable technology or device capable of measuring location. Searches were performed up to February 4, 2015. This was supplemented by backward and forward reference searching. In an attempt to include novel devices which may not yet have made their way into the published research, searches were also performed using three Internet search engines. Specialized software was used to download search results and thus mitigate the potential pitfalls of changing search algorithms. Results A total of 188 research papers met the inclusion criteria. Global positioning systems were the most widely used location technology in the published research, followed by wearable cameras, and radio-frequency identification. Internet search engines identified 81 global positioning systems, 35 real-time locating systems, and 21 wearable cameras. Real-time locating systems determine the indoor location of a wearable tag via the known location of reference nodes. Although the type of reference node and location determination method varies between manufacturers, Wi-Fi appears to be the most popular method. Conclusions The addition of location information to existing measures of physical activity and sedentary behavior will provide important behavioral information. PMID:26245157

LIVIVO - the Vertical Search Engine for Life Sciences.

PubMed

Müller, Bernd; Poley, Christoph; Pössel, Jana; Hagelstein, Alexandra; Gübitz, Thomas

2017-01-01

The explosive growth of literature and data in the life sciences challenges researchers to keep track of current advancements in their disciplines. Novel approaches in the life science like the One Health paradigm require integrated methodologies in order to link and connect heterogeneous information from databases and literature resources. Current publications in the life sciences are increasingly characterized by the employment of trans-disciplinary methodologies comprising molecular and cell biology, genetics, genomic, epigenomic, transcriptional and proteomic high throughput technologies with data from humans, plants, and animals. The literature search engine LIVIVO empowers retrieval functionality by incorporating various literature resources from medicine, health, environment, agriculture and nutrition. LIVIVO is developed in-house by ZB MED - Information Centre for Life Sciences. It provides a user-friendly and usability-tested search interface with a corpus of 55 Million citations derived from 50 databases. Standardized application programming interfaces are available for data export and high throughput retrieval. The search functions allow for semantic retrieval with filtering options based on life science entities. The service oriented architecture of LIVIVO uses four different implementation layers to deliver search services. A Knowledge Environment is developed by ZB MED to deal with the heterogeneity of data as an integrative approach to model, store, and link semantic concepts within literature resources and databases. Future work will focus on the exploitation of life science ontologies and on the employment of NLP technologies in order to improve query expansion, filters in faceted search, and concept based relevancy rankings in LIVIVO.

[Schizophrenia and psychosis on the internet].

PubMed

Schrank, Beate; Seyringer, Michaela-Elena; Berger, Peter; Katschnig, Heinz; Amering, Michaela

2006-09-01

The internet is an increasingly important source of information for patients concerning their illness. This has to be borne in mind concerning its growing influence on communications between patients and clinicians. The aim of this study is to assess the quality of German-language information on schizophrenia on the internet. Two searches of the terms schizophrenia and psychosis were conducted, using the Google search engine set to produce only German hits. The quality of the first hundred resulting sites was assessed according to a range of criteria, including diagnosis and therapy, links and interactive offers. Evidence-based medical information was provided by more than half of the sites resulting from the search term schizophrenia and by less than one third of psychosis hits. Information and discussion on the relationship between drugs and psychosis appeared almost exclusively under the term psychosis. It is suggested that mental health care professionals can use knowledge on what sort of information their patients are confronted with on the internet in order to assist them in profiting from this source of information.

Impact of web searching and social feedback on consumer decision making: a prospective online experiment.

PubMed

Lau, Annie Y S; Coiera, Enrico W

2008-01-22

The World Wide Web has increasingly become an important source of information in health care consumer decision making. However, little is known about whether searching online resources actually improves consumers' understanding of health issues. The aim was to study whether searching on the World Wide Web improves consumers' accuracy in answering health questions and whether consumers' understanding of health issues is subject to further change under social feedback. This was a pre/post prospective online study. A convenience sample of 227 undergraduate students was recruited from the population of the University of New South Wales. Subjects used a search engine that retrieved online documents from PubMed, MedlinePlus, and HealthInsite and answered a set of six questions (before and after use of the search engine) designed for health care consumers. They were then presented with feedback consisting of a summary of the post-search answers provided by previous subjects for the same questions and were asked to answer the questions again. There was an improvement in the percentage of correct answers after searching (pre-search 61.2% vs post-search 82.0%, P <.001) and after feedback with other subjects' answers (pre-feedback 82.0% vs post-feedback 85.3%, P =.051). The proportion of subjects with highly confident correct answers (ie, confident or very confident) and the proportion with highly confident incorrect answers significantly increased after searching (correct pre-search 61.6% vs correct post-search 95.5%, P <.001; incorrect pre-search 55.3% vs incorrect post-search 82.0%, P <.001). Subjects who were not as confident in their post-search answers were 28.5% more likely than those who were confident or very confident to change their answer after feedback with other subjects' post-search answers (chi(2) (1)= 66.65, P <.001). Searching across quality health information sources on the Web can improve consumers' accuracy in answering health questions. However, a consumer's confidence in an answer is not a good indicator of the answer being correct. Consumers who are not confident in their answers after searching are more likely to be influenced to change their views when provided with feedback from other consumers.

GOOSE: semantic search on internet connected sensors

NASA Astrophysics Data System (ADS)

Schutte, Klamer; Bomhof, Freek; Burghouts, Gertjan; van Diggelen, Jurriaan; Hiemstra, Peter; van't Hof, Jaap; Kraaij, Wessel; Pasman, Huib; Smith, Arthur; Versloot, Corne; de Wit, Joost

2013-05-01

More and more sensors are getting Internet connected. Examples are cameras on cell phones, CCTV cameras for traffic control as well as dedicated security and defense sensor systems. Due to the steadily increasing data volume, human exploitation of all this sensor data is impossible for effective mission execution. Smart access to all sensor data acts as enabler for questions such as "Is there a person behind this building" or "Alert me when a vehicle approaches". The GOOSE concept has the ambition to provide the capability to search semantically for any relevant information within "all" (including imaging) sensor streams in the entire Internet of sensors. This is similar to the capability provided by presently available Internet search engines which enable the retrieval of information on "all" web pages on the Internet. In line with current Internet search engines any indexing services shall be utilized cross-domain. The two main challenge for GOOSE is the Semantic Gap and Scalability. The GOOSE architecture consists of five elements: (1) an online extraction of primitives on each sensor stream; (2) an indexing and search mechanism for these primitives; (3) a ontology based semantic matching module; (4) a top-down hypothesis verification mechanism and (5) a controlling man-machine interface. This paper reports on the initial GOOSE demonstrator, which consists of the MES multimedia analysis platform and the CORTEX action recognition module. It also provides an outlook into future GOOSE development.

Data Mining and Optimization Tools for Developing Engine Parameters Tools

NASA Technical Reports Server (NTRS)

Dhawan, Atam P.

1998-01-01

This project was awarded for understanding the problem and developing a plan for Data Mining tools for use in designing and implementing an Engine Condition Monitoring System. Tricia Erhardt and I studied the problem domain for developing an Engine Condition Monitoring system using the sparse and non-standardized datasets to be available through a consortium at NASA Lewis Research Center. We visited NASA three times to discuss additional issues related to dataset which was not made available to us. We discussed and developed a general framework of data mining and optimization tools to extract useful information from sparse and non-standard datasets. These discussions lead to the training of Tricia Erhardt to develop Genetic Algorithm based search programs which were written in C++ and used to demonstrate the capability of GA algorithm in searching an optimal solution in noisy, datasets. From the study and discussion with NASA LeRC personnel, we then prepared a proposal, which is being submitted to NASA for future work for the development of data mining algorithms for engine conditional monitoring. The proposed set of algorithm uses wavelet processing for creating multi-resolution pyramid of tile data for GA based multi-resolution optimal search.

User Selection of Purchased Information Services. Interim Technical Report (June 1975-January 1976).

ERIC Educational Resources Information Center

Hall, Homer J.

Interviews conducted in the first phase of a project to develop a method for user selection of purchased scientific and technical information services identified a number of relationship among different populations of users. Research scientists, engineers, and patent attorneys want convenient access to original data identified in the search.…

Marketing: A Fair Opportunity for Promoting Information Literacy

ERIC Educational Resources Information Center

Germain, Carol Anne

2007-01-01

Some faculty and administrators naively believe that undergraduates come to campus as information literate individuals since these students know how to use computers and the Internet. Yet, as librarians, they know that there is more to IL than surfing search engines, IMing, and word processing. So marketing IL becomes a very important task. This…

A Human Factors Engineering Assessment of the Buffalo Mine Protection Clearance Vehicle Roof Hatch

DTIC Science & Technology

2007-10-01

this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data ...sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden...3 2. Method 4 2.1 Anthropometric Data

Are cannabis prevalence estimates comparable across countries and regions? A cross-cultural validation using search engine query data.

PubMed

Steppan, Martin; Kraus, Ludwig; Piontek, Daniela; Siciliano, Valeria

2013-01-01

Prevalence estimation of cannabis use is usually based on self-report data. Although there is evidence on the reliability of this data source, its cross-cultural validity is still a major concern. External objective criteria are needed for this purpose. In this study, cannabis-related search engine query data are used as an external criterion. Data on cannabis use were taken from the 2007 European School Survey Project on Alcohol and Other Drugs (ESPAD). Provincial data came from three Italian nation-wide studies using the same methodology (2006-2008; ESPAD-Italia). Information on cannabis-related search engine query data was based on Google search volume indices (GSI). (1) Reliability analysis was conducted for GSI. (2) Latent measurement models of "true" cannabis prevalence were tested using perceived availability, web-based cannabis searches and self-reported prevalence as indicators. (3) Structure models were set up to test the influences of response tendencies and geographical position (latitude, longitude). In order to test the stability of the models, analyses were conducted on country level (Europe, US) and on provincial level in Italy. Cannabis-related GSI were found to be highly reliable and constant over time. The overall measurement model was highly significant in both data sets. On country level, no significant effects of response bias indicators and geographical position on perceived availability, web-based cannabis searches and self-reported prevalence were found. On provincial level, latitude had a significant positive effect on availability indicating that perceived availability of cannabis in northern Italy was higher than expected from the other indicators. Although GSI showed weaker associations with cannabis use than perceived availability, the findings underline the external validity and usefulness of search engine query data as external criteria. The findings suggest an acceptable relative comparability of national (provincial) prevalence estimates of cannabis use that are based on a common survey methodology. Search engine query data are a too weak indicator to base prevalence estimations on this source only, but in combination with other sources (waste water analysis, sales of cigarette paper) they may provide satisfactory estimates. Copyright © 2012. Published by Elsevier B.V.

The Effectiveness of Web Search Engines to Index New Sites from Different Countries

ERIC Educational Resources Information Center

Pirkola, Ari

2009-01-01

Introduction: Investigates how effectively Web search engines index new sites from different countries. The primary interest is whether new sites are indexed equally or whether search engines are biased towards certain countries. If major search engines show biased coverage it can be considered a significant economic and political problem because…

Database Search Engines: Paradigms, Challenges and Solutions.

PubMed

Verheggen, Kenneth; Martens, Lennart; Berven, Frode S; Barsnes, Harald; Vaudel, Marc

2016-01-01

The first step in identifying proteins from mass spectrometry based shotgun proteomics data is to infer peptides from tandem mass spectra, a task generally achieved using database search engines. In this chapter, the basic principles of database search engines are introduced with a focus on open source software, and the use of database search engines is demonstrated using the freely available SearchGUI interface. This chapter also discusses how to tackle general issues related to sequence database searching and shows how to minimize their impact.

PubMed searches: overview and strategies for clinicians.

PubMed

Lindsey, Wesley T; Olin, Bernie R

2013-04-01

PubMed is a biomedical and life sciences database maintained by a division of the National Library of Medicine known as the National Center for Biotechnology Information (NCBI). It is a large resource with more than 5600 journals indexed and greater than 22 million total citations. Searches conducted in PubMed provide references that are more specific for the intended topic compared with other popular search engines. Effective PubMed searches allow the clinician to remain current on the latest clinical trials, systematic reviews, and practice guidelines. PubMed continues to evolve by allowing users to create a customized experience through the My NCBI portal, new arrangements and options in search filters, and supporting scholarly projects through exportation of citations to reference managing software. Prepackaged search options available in the Clinical Queries feature also allow users to efficiently search for clinical literature. PubMed also provides information regarding the source journals themselves through the Journals in NCBI Databases link. This article provides an overview of the PubMed database's structure and features as well as strategies for conducting an effective search.

The Mercury System: Embedding Computation into Disk Drives

DTIC Science & Technology

2004-08-20

enabling technologies to build extremely fast data search engines . We do this by moving the search closer to the data, and performing it in hardware...engine searches in parallel across a disk or disk surface 2. System Parallelism: Searching is off-loaded to search engines and main processor can

An architecture for diversity-aware search for medical web content.

PubMed

Denecke, K

2012-01-01

The Web provides a huge source of information, also on medical and health-related issues. In particular the content of medical social media data can be diverse due to the background of an author, the source or the topic. Diversity in this context means that a document covers different aspects of a topic or a topic is described in different ways. In this paper, we introduce an approach that allows to consider the diverse aspects of a search query when providing retrieval results to a user. We introduce a system architecture for a diversity-aware search engine that allows retrieving medical information from the web. The diversity of retrieval results is assessed by calculating diversity measures that rely upon semantic information derived from a mapping to concepts of a medical terminology. Considering these measures, the result set is diversified by ranking more diverse texts higher. The methods and system architecture are implemented in a retrieval engine for medical web content. The diversity measures reflect the diversity of aspects considered in a text and its type of information content. They are used for result presentation, filtering and ranking. In a user evaluation we assess the user satisfaction with an ordering of retrieval results that considers the diversity measures. It is shown through the evaluation that diversity-aware retrieval considering diversity measures in ranking could increase the user satisfaction with retrieval results.