Science.gov

Sample records for ontologies meet industry

  1. Professors and Industry Meet

    ERIC Educational Resources Information Center

    Sheriff, Robert E.

    1974-01-01

    Describes backgrounds of geophysics graduates that are desired for employment by industry. Also listed are areas in which industry could help universities concerning the development of programs to meet the future manpower needs in industry. (BR)

  2. Professors and Industry Meet

    ERIC Educational Resources Information Center

    Sheriff, Robert E.

    1974-01-01

    Describes backgrounds of geophysics graduates that are desired for employment by industry. Also listed are areas in which industry could help universities concerning the development of programs to meet the future manpower needs in industry. (BR)

  3. Meeting report: advancing practical applications of biodiversity ontologies

    PubMed Central

    2014-01-01

    We describe the outcomes of three recent workshops aimed at advancing development of the Biological Collections Ontology (BCO), the Population and Community Ontology (PCO), and tools to annotate data using those and other ontologies. The first workshop gathered use cases to help grow the PCO, agreed upon a format for modeling challenging concepts such as ecological niche, and developed ontology design patterns for defining collections of organisms and population-level phenotypes. The second focused on mapping datasets to ontology terms and converting them to Resource Description Framework (RDF), using the BCO. To follow-up, a BCO hackathon was held concurrently with the 16th Genomics Standards Consortium Meeting, during which we converted additional datasets to RDF, developed a Material Sample Core for the Global Biodiversity Information Framework, created a Web Ontology Language (OWL) file for importing Darwin Core classes and properties into BCO, and developed a workflow for converting biodiversity data among formats.

  4. Ontological leveling and elicitation for complex industrial transactions

    SciTech Connect

    Phillips, L.R.; Goldsmith, S.Y.; Spires, S.V.

    1998-11-01

    The authors present an agent-oriented mechanism that uses a central ontology as a means to conduct complex distributed transactions. This is done by instantiating a template object motivated solely by the ontology, then automatically and explicitly linking each temple element to an independently constructed interface component. Validation information is attached directly to the links so that the agent need not know a priori the semantics of data validity, merely how to execute a general validation process to satisfy the conditions given in the link. Ontological leveling is critical: all terms presented to informants must be semantically coherent within the central ontology. To illustrate this approach in an industrial setting, they discuss an existing implementation that conducted international commercial transactions on the World-Wide Web. Agents operating within a federated architecture construct, populate by Web-based elicitation, and manipulate a distributed composite transaction object to effect transport of goods over the US/Mexico border.

  5. Academia Meets Industry.

    PubMed

    Schäfer, Christian; Paprotka, Tobias; Heitzer, Ellen; Eccleston, Mark; Noe, Johannes; Holdenrieder, Stefan; Diehl, Frank; Thierry, Alain

    2016-01-01

    Researchers working in industrial laboratories as well as in academic laboratories discussed topics related to the use of extracellular nucleic acids in different fields. These included areas like non-invasive prenatal diagnosis, the application of different methods for the analysis and characterization of patients with benign and malignant diseases and technical aspects associated with extracellular nucleic acids. In addition, the possibilities and chances for a cooperation of researchers working in different worlds, i.e. academia and industry, were discussed.

  6. The Seventh Annual Bio-Ontologies Meeting Moat House Hotel, Glasgow, 30 July 2004

    PubMed Central

    Stevens, Robert

    2004-01-01

    The Annual Bio-Ontologies Meeting [1] has now reached its seventh consecutive year, running as a special interest group (SIG) of the much larger ISMB conference. This year's meeting in Glasgow had approximately 100 attendees. Since the advent of the Gene Ontology, which coincided with the first Bio-Ontologies Meeting, we have seen a year-on-year strengthening of the field; bio-ontologies has moved from being dominated by computer science to be led by biological applications; discussion is less about ‘what is an ontology?’ and more about ‘how to build an ontology which is fit for purpose?’. This strengthening of the field can be seen elsewhere. Both the main ISMB conference and this year's Pacific Symposium on Biocomputing (PSB) [2] have seen a large number of submissions to their ontologies track. For the first time a selection of the papers from the SIG is being published in this issue of Comparative and Functional Genomics. We hope that this will complement the publications of the larger conferences, bringing to a wider audience the cutting edge research that characterizes the Bio-Ontologies SIG. PMID:18629147

  7. Strategic Industrial Alliances in Paper Industry: XML- vs Ontology-Based Integration Platforms

    ERIC Educational Resources Information Center

    Naumenko, Anton; Nikitin, Sergiy; Terziyan, Vagan; Zharko, Andriy

    2005-01-01

    Purpose: To identify cases related to design of ICT platforms for industrial alliances, where the use of Ontology-driven architectures based on Semantic web standards is more advantageous than application of conventional modeling together with XML standards. Design/methodology/approach: A comparative analysis of the two latest and the most obvious…

  8. Strategic Industrial Alliances in Paper Industry: XML- vs Ontology-Based Integration Platforms

    ERIC Educational Resources Information Center

    Naumenko, Anton; Nikitin, Sergiy; Terziyan, Vagan; Zharko, Andriy

    2005-01-01

    Purpose: To identify cases related to design of ICT platforms for industrial alliances, where the use of Ontology-driven architectures based on Semantic web standards is more advantageous than application of conventional modeling together with XML standards. Design/methodology/approach: A comparative analysis of the two latest and the most obvious…

  9. The ontological turn meets the certainty of death.

    PubMed

    McDonald, Maryon

    2017-08-01

    The 'ontological turn' involves some anthropological points of long standing but the approaches recently coordinated into this turn have been presented as a 'call to arms', as shaking up 'mono-realist singularities' and as inherently political. This fighting talk has no doubt made important contributions to anthropology and insights from the ontological turn can help in anthropological understandings of medical practices. However, this paper contends that this helpfulness is also limited and that a call to arms may be inappropriate. This point is made through an ethnographic understanding of medical concern about the diagnosis of death.

  10. An Ontological Solution to Support Interoperability in the Textile Industry

    NASA Astrophysics Data System (ADS)

    Duque, Arantxa; Campos, Cristina; Jiménez-Ruiz, Ernesto; Chalmeta, Ricardo

    Significant developments in information and communication technologies and challenging market conditions have forced enterprises to adapt their way of doing business. In this context, providing mechanisms to guarantee interoperability among heterogeneous organisations has become a critical issue. Even though prolific research has already been conducted in the area of enterprise interoperability, we have found that enterprises still struggle to introduce fully interoperable solutions, especially, in terms of the development and application of ontologies. Thus, the aim of this paper is to introduce basic ontology concepts in a simple manner and to explain the advantages of the use of ontologies to improve interoperability. We will also present a case study showing the implementation of an application ontology for an enterprise in the textile/clothing sector.

  11. Application of the Financial Industry Business Ontology (FIBO) for development of a financial organization ontology

    NASA Astrophysics Data System (ADS)

    Petrova, G. G.; Tuzovsky, A. F.; Aksenova, N. V.

    2017-01-01

    The article considers an approach to a formalized description and meaning harmonization for financial terms and means of semantic modeling. Ontologies for the semantic models are described with the help of special languages developed for the Semantic Web. Results of FIBO application to solution of different tasks in the Russian financial sector are given.

  12. Meeting report: Identifying practical applications of ontologies for biodiversity informatics

    PubMed Central

    2015-01-01

    This report describes the outcomes of a recent workshop, building on a series of workshops from the last three years with the goal if integrating genomics and biodiversity research, with a more specific goal here to express terms in Darwin Core and Audubon Core, where class constructs have been historically underspecified, into a Biological Collections Ontology (BCO) framework. For the purposes of this workshop, the BCO provided the context for fully defining classes as well as object and data properties, including domain and range information, for both the Darwin Core and Audubon Core. In addition, the workshop participants reviewed technical specifications and approaches for annotating instance data with BCO terms. Finally, we laid out proposed activities for the next 3 to 18 months to continue this work.

  13. 49 CFR 95.11 - Meetings; industry advisory committees.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 49 Transportation 1 2010-10-01 2010-10-01 false Meetings; industry advisory committees. 95.11... Meetings; industry advisory committees. (a) Meetings of an industry advisory committee may be held only at...) No industry advisory committee may receive, compile, or discuss data or reports showing the current...

  14. A Tailored Ontology Supporting Sensor Implementation for the Maintenance of Industrial Machines.

    PubMed

    Maleki, Elaheh; Belkadi, Farouk; Ritou, Mathieu; Bernard, Alain

    2017-09-08

    The longtime productivity of an industrial machine is improved by condition-based maintenance strategies. To do this, the integration of sensors and other cyber-physical devices is necessary in order to capture and analyze a machine's condition through its lifespan. Thus, choosing the best sensor is a critical step to ensure the efficiency of the maintenance process. Indeed, considering the variety of sensors, and their features and performance, a formal classification of a sensor's domain knowledge is crucial. This classification facilitates the search for and reuse of solutions during the design of a new maintenance service. Following a Knowledge Management methodology, the paper proposes and develops a new sensor ontology that structures the domain knowledge, covering both theoretical and experimental sensor attributes. An industrial case study is conducted to validate the proposed ontology and to demonstrate its utility as a guideline to ease the search of suitable sensors. Based on the ontology, the final solution will be implemented in a shared repository connected to legacy CAD (computer-aided design) systems. The selection of the best sensor is, firstly, obtained by the matching of application requirements and sensor specifications (that are proposed by this sensor repository). Then, it is refined from the experimentation results. The achieved solution is recorded in the sensor repository for future reuse. As a result, the time and cost of the design process of new condition-based maintenance services is reduced.

  15. 41 CFR 50-203.16 - Industry panel meetings.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 41 Public Contracts and Property Management 1 2010-07-01 2010-07-01 true Industry panel meetings... Under the Walsh-Healey Public Contracts Act § 50-203.16 Industry panel meetings. The Secretary of Labor may, within his discretion, invite representatives of employers and employees in an industry to meet...

  16. 78 FR 17993 - Industry Advisory Panel; Notice of Open Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-03-25

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF STATE Industry Advisory Panel; Notice of Open Meeting The Industry Advisory Group, formerly the Industry Advisory Panel, of the Bureau of Overseas Buildings Operations will meet on Friday, April 19, 2013 from 10:00 a.m...

  17. 77 FR 13683 - Government/Industry Aeronautical Charting Forum Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-07

    ... Federal Aviation Administration Government/Industry Aeronautical Charting Forum Meeting AGENCY: Federal...-annual meeting of the Federal Aviation Administration (FAA) Aeronautical Charting Forum (ACF) to discuss... Charting Forum. BILLING CODE M ...

  18. 75 FR 14564 - Dairy Industry Advisory Committee; Public Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-26

    ... Farm Service Agency Dairy Industry Advisory Committee; Public Meeting AGENCY: Farm Service Agency, USDA..., the Farm Service Agency (FSA) announces a public meeting of the newly established Dairy Industry... 2009, USDA established the Dairy Committee. The Dairy Committee will review the issues of farm...

  19. 76 FR 8998 - Dairy Industry Advisory Committee; Public Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-02-16

    ... Farm Service Agency Dairy Industry Advisory Committee; Public Meeting AGENCY: Farm Service Agency, USDA..., the Farm Service Agency (FSA) announces a public meeting of the Dairy Industry Advisory Committee... established the Dairy Committee. The Dairy Committee reviews issues of farm milk price volatility and...

  20. 76 FR 4611 - Dairy Industry Advisory Committee; Public Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-01-26

    ... Farm Service Agency Dairy Industry Advisory Committee; Public Meeting AGENCY: Farm Service Agency, USDA..., the Farm Service Agency (FSA) announces a public meeting of the Dairy Industry Advisory Committee... established the Dairy Committee. The Dairy Committee reviews issues of farm milk price volatility and...

  1. 77 FR 18295 - Industry Advisory Panel: Notice of Open Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-27

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF STATE Industry Advisory Panel: Notice of Open Meeting The Industry Advisory Panel of the Bureau of Overseas Buildings ] Operations will meet on Tuesday, April 17, 2012 from 10 a.m. until 3:30 p.m. Eastern Daylight Time. The...

  2. 76 FR 62892 - Industry Advisory Panel: Notice of Open Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-10-11

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF STATE Industry Advisory Panel: Notice of Open Meeting The Industry Advisory Panel of the Bureau of Overseas Buildings Operations will meet on Tuesday, October 18, 2011 from 9:30 a.m. until 3:30 p.m. Eastern Daylight Time. The...

  3. 76 FR 19826 - Industry Advisory Panel; Notice of Open Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-04-08

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF STATE Industry Advisory Panel; Notice of Open Meeting The Industry Advisory Panel of the Bureau of Overseas Buildings Operations will meet on Tuesday, April 26, 2011 from 9:30 a.m. until 3:30 p.m. Eastern Daylight Time. The...

  4. 75 FR 13643 - Industry Advisory Panel: Notice of Open Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-22

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF STATE Industry Advisory Panel: Notice of Open Meeting The Industry Advisory Panel of the Bureau of Overseas Buildings Operations will meet on Wednesday, April 14, 2010 from 9:30 a.m. until 3:30 p.m. Eastern Daylight Time. The...

  5. 75 FR 75958 - Dairy Industry Advisory Committee; Public Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-12-07

    ... Farm Service Agency Dairy Industry Advisory Committee; Public Meeting AGENCY: Farm Service Agency, USDA. ACTION: Notice of public meeting; correction. SUMMARY: The Farm Service Agency published a document in the Federal Register on November 26, 2010, announcing two public meetings of the Dairy...

  6. 78 FR 52230 - Government/Industry Aeronautical Charting Forum Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-22

    ... Federal Aviation Administration Government/Industry Aeronautical Charting Forum Meeting AGENCY: Federal...-annual meeting of the Federal Aviation Administration (FAA) Aeronautical Charting Forum (ACF) to discuss...), notice is hereby given of a meeting of the FAA Aeronautical Charting Forum to be held from October 29...

  7. 76 FR 53530 - Government/Industry Aeronautical Charting Forum Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-08-26

    ... Federal Aviation Administration Government/Industry Aeronautical Charting Forum Meeting AGENCY: Federal...-annual meeting of the Federal Aviation Administration (FAA) Aeronautical Charting Forum (ACF) to discuss... given of a meeting of the FAA Aeronautical Charting Forum to be held from October 25 through October 27...

  8. 78 FR 12415 - Government/Industry Aeronautical Charting Forum Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-22

    ... Federal Aviation Administration Government/Industry Aeronautical Charting Forum Meeting AGENCY: Federal...-annual meeting of the Federal Aviation Administration (FAA) Aeronautical Charting Forum (ACF) to discuss...), notice is hereby given of a meeting of the FAA Aeronautical Charting Forum to be held from April 23...

  9. 76 FR 12211 - Government/Industry Aeronautical Charting Forum Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-04

    ... Federal Aviation Administration Government/Industry Aeronautical Charting Forum Meeting AGENCY: Federal...-annual meeting of the Federal Aviation Administration (FAA) Aeronautical Charting Forum (ACF) to discuss... of a meeting of the FAA Aeronautical ] Charting Forum to be held from April 26 through April 28, 2011...

  10. Meet Your Future: Industrial Careers for Physicists

    NASA Astrophysics Data System (ADS)

    2014-03-01

    In this special lunchtime session, representatives from industry will provide information about physics careers in the private sector. Topics will include research opportunities for physicists in industry, strategies for successfully pursuing industrial jobs, and advice on how to thrive in this exciting and challenging work environment.

  11. 75 FR 54085 - Dairy Industry Advisory Committee; Public Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-03

    ... public meetings of the Dairy Industry Advisory Committee (Dairy Committee) to discuss farm milk price... established the Dairy Committee. The Dairy Committee reviews issues of farm milk price volatility and dairy.... [[Page 54086

  12. 75 FR 11225 - Government/Industry Aeronautical Charting Forum Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-10

    ... Federal Aviation Administration Government/Industry Aeronautical Charting Forum Meeting AGENCY: Federal... Forum (ACF 10-01) to discuss informational content and design of aeronautical charts and related.... App. II), notice is hereby given of a meeting of the FAA Aeronautical Charting Forum to be held from...

  13. Science for sale: academic meets industry.

    PubMed

    Bernstein, Rachel

    2012-07-20

    As research becomes increasingly interdisciplinary and the lines between academic and industrial pursuits blur, scientists on both sides of the fence are developing outsourcing models to build innovative collaborations and open funding opportunities.

  14. Industrial Health—Meeting the Challenge*

    PubMed Central

    Meiklejohn, A.

    1959-01-01

    The modern industrial system had its origin in England just over 200 years ago. This period historically is referred to as the Industrial Revolution. It was marked by mechanical inventions in textile machinery, by advances in the manufacture of iron, and by the introduction of steam power. These, in turn, were the foundations of the factory system. In 1784 at a cotton mill at Radcliffe, near Manchester, an epidemic of malignant fever affected the operatives and spread to the surrounding population. The situation became serious and the local justices invited Dr. Thomas Percival, a leading local physician, to investigate the nature and circumstances of the outbreak. With his colleagues and leading citizens he formed the Manchester Board of Health. The Board, through authoritative reports, made recommendations for the control of such epidemics by the establishment of isolation hospitals. They also urged the need for the improvement of environmental conditions in mills and factories and for the diminution of working hours, especially for children and women. In pursuance of these objects the Government in 1802 passed the Health and Morals of Apprentices Act. This was the first Factory Act. Since then factory legislation has been greatly extended and is the basis of statutory supervision of factories and factory workers under the inspector of factories. The development of this supervision is traced with special reference to the work of the certifying surgeons, now the appointed factory doctors, and the medical inspectors. Concurrently, public health education and workmen's compensation were advanced through legislation. Since 1935 voluntary medical services have been developed in industry. These services have not been restricted to the observance of the minimum standards prescribed by statute and so have been able to pioneer advances directed to the promotion of safety, health, and welfare in factories and other places of employment. Radcliffe, Percival, and steam power

  15. Ontology or formal ontology

    NASA Astrophysics Data System (ADS)

    Žáček, Martin

    2017-07-01

    Ontology or formal ontology? Which word is correct? The aim of this article is to introduce correct terms and explain their basis. Ontology describes a particular area of interest (domain) in a formal way - defines the classes of objects that are in that area, and relationships that may exist between them. Meaning of ontology consists mainly in facilitating communication between people, improve collaboration of software systems and in the improvement of systems engineering. Ontology in all these areas offer the possibility of unification of view, maintaining consistency and unambiguity.

  16. 75 FR 72785 - Dairy Industry Advisory Committee; Public Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-11-26

    ... Committee) to discuss farm milk price volatility and dairy farmer profitability, and review various industry... milk price volatility and dairy farmer profitability. The Dairy Committee provides recommendations to...., Washington, DC 20250. The purpose of the meetings for the Dairy Committee is to: Discuss farm milk price...

  17. 75 FR 20372 - Commercial Fishing Industry Vessel Safety Advisory Committee; Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-04-19

    ... SECURITY Coast Guard Commercial Fishing Industry Vessel Safety Advisory Committee; Meeting AGENCY: Coast Guard, DHS. ACTION: Notice of meeting. SUMMARY: The Commercial Fishing Industry Vessel Safety Advisory... in the fishing industry. This meeting will be open to the public. DATES: The Committee will meet on...

  18. 49 CFR 95.9 - Meetings; other than industry advisory committees.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 49 Transportation 1 2010-10-01 2010-10-01 false Meetings; other than industry advisory committees... Meetings; other than industry advisory committees. (a) Meetings of an advisory committee, other than an industry advisory committee, may be held only at the call, or with the advance approval, of a full-time...

  19. Supporting Better Treatments for Meeting Health Consumers' Needs: Extracting Semantics in Social Data for Representing a Consumer Health Ontology

    ERIC Educational Resources Information Center

    Choi, Yunseon

    2016-01-01

    Introduction: The purpose of this paper is to provide a framework for building a consumer health ontology using social tags. This would assist health users when they are accessing health information and increase the number of documents relevant to their needs. Methods: In order to extract concepts from social tags, this study conducted an…

  20. Performing ontology.

    PubMed

    Aspers, Patrik

    2015-06-01

    Ontology, and in particular, the so-called ontological turn, is the topic of a recent themed issue of Social Studies of Science (Volume 43, Issue 3, 2013). Ontology, or metaphysics, is in philosophy concerned with what there is, how it is, and forms of being. But to what is the science and technology studies researcher turning when he or she talks of ontology? It is argued that it is unclear what is gained by arguing that ontology also refers to constructed elements. The 'ontological turn' comes with the risk of creating a pseudo-debate or pseudo-activity, in which energy is used for no end, at the expense of empirical studies. This text rebuts the idea of an ontological turn as foreshadowed in the texts of the themed issue. It argues that there is no fundamental qualitative difference between the ontological turn and what we know as constructivism.

  1. Quantum ontologies

    SciTech Connect

    Stapp, H.P.

    1988-12-01

    Quantum ontologies are conceptions of the constitution of the universe that are compatible with quantum theory. The ontological orientation is contrasted to the pragmatic orientation of science, and reasons are given for considering quantum ontologies both within science, and in broader contexts. The principal quantum ontologies are described and evaluated. Invited paper at conference: Bell's Theorem, Quantum Theory, and Conceptions of the Universe, George Mason University, October 20-21, 1988. 16 refs.

  2. Dynamic sub-ontology evolution for traditional Chinese medicine web ontology.

    PubMed

    Mao, Yuxin; Wu, Zhaohui; Tian, Wenya; Jiang, Xiaohong; Cheung, William K

    2008-10-01

    As a form of important domain knowledge, large-scale ontologies play a critical role in building a large variety of knowledge-based systems. To overcome the problem of semantic heterogeneity and encode domain knowledge in reusable format, a large-scale and well-defined ontology is also required in the traditional Chinese medicine discipline. We argue that to meet the on-demand and scalability requirement ontology-based systems should go beyond the use of static ontology and be able to self-evolve and specialize for the domain knowledge they possess. In particular, we refer to the context-specific portions from large-scale ontologies like the traditional Chinese medicine ontology as sub-ontologies. Ontology-based systems are able to reuse sub-ontologies in local repository called ontology cache. In order to improve the overall performance of ontology cache, we propose to evolve sub-ontologies in ontology cache to optimize the knowledge structure of sub-ontologies. Moreover, we present the sub-ontology evolution approach based on a genetic algorithm for reusing large-scale ontologies. We evaluate the proposed evolution approach with the traditional Chinese medicine ontology and obtain promising results.

  3. 78 FR 12251 - Energy Efficiency Program for Commercial and Industrial Equipment: Public Meeting and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-22

    ... Part 430 RIN 1904-AC55 Energy Efficiency Program for Commercial and Industrial Equipment: Public Meeting and Availability of the Framework Document for Commercial and Industrial Fans and Blowers AGENCY... industrial fan and blower equipment published on February 1, 2013, is extended to May 2, 2013. DATES: The...

  4. Smoke Stack Meets Ivory Tower: Collaborations with Local Industry.

    ERIC Educational Resources Information Center

    Logan, Lawrence B.; Stampen, Jacob O.

    1985-01-01

    The results of a nationwide study of developing relationships between industry and leading public comprehensive universities are highlighted. Eight kinds of programs included consulting, industry-funded research, government-funded research, personnel exchange, industrial liaison, consortia, jointly owned laboratory facilities, and industrial…

  5. 76 FR 21712 - Meeting of the Ocean Research and Resources Advisory Industry Sub-Panel

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-04-18

    ... Department of the Navy Meeting of the Ocean Research and Resources Advisory Industry Sub-Panel AGENCY: Department of the Navy, DoD. ] ACTION: Notice of open meeting. SUMMARY: The Ocean Research and Resources.... Vincent, Office of Naval Research, 875 North Randolph Street, Suite 1425, Arlington, VA 22203-1995...

  6. 75 FR 26710 - Dairy Industry Advisory Committee; Public Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-05-12

    ... farm milk price volatility and dairy farmer profitability, review current dairy programs of the U.S... the issues of farm milk price volatility and dairy farmer profitability. The Dairy Committee will..., Washington, DC 20250 The purpose of the meeting is to: Discuss farm milk price volatility and dairy farmer...

  7. 75 FR 54221 - Government/Industry Aeronautical Charting Forum Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-03

    ... Aeronautical Charting Forum Meeting AGENCY: Federal Aviation Administration (FAA), DOT. ACTION: Notice of... Administration (FAA) Aeronautical Charting Forum (ACF) to discuss informational content and design of... the FAA Aeronautical Charting Forum to be held from October 26 through October 28, 2010, from 8:30 a.m...

  8. 78 FR 45598 - Industry Forums on the Next ITS Strategic Plan; Notice of Public Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-07-29

    ... Industry Forums on the Next ITS Strategic Plan; Notice of Public Meeting AGENCY: ITS Joint Program Office... JPO) will participate in four industry forums by facilitating workshops to generate feedback for the... session will take place September 2, 2013 at the IEEE Vehicle Technology Conference at the Wynn...

  9. 78 FR 26544 - Energy Efficiency Program for Commercial and Industrial Equipment: Public Meeting and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-05-07

    ... Part 430 RIN 1904-AC55 Energy Efficiency Program for Commercial and Industrial Equipment: Public Meeting and Availability of the Framework Document for Commercial and Industrial Fans and Blowers AGENCY: Office of Energy Efficiency and Renewable Energy, Department of Energy. ACTION: Extension of...

  10. Meeting the Needs of Consumers: Lessons from Business and Industry

    ERIC Educational Resources Information Center

    Garrett, Lisa A.; Vogt, Connie L.

    2003-01-01

    Technology has altered the way training and development is delivered in business and industry. The various benefits of online learning have influenced the increasing use of online learning methods. As organizations address the challenges of online learning, better evaluation methods and standards will be developed. The future success of online…

  11. Theory and Practice Meets in Industrial Process Design -Educational Perspective-

    NASA Astrophysics Data System (ADS)

    Aramo-Immonen, Heli; Toikka, Tarja

    Software engineer should see himself as a business process designer in enterprise resource planning system (ERP) re-engineering project. Software engineers and managers should have design dialogue. The objective of this paper is to discuss the motives to study the design research in connection of management education in order to envision and understand the soft human issues in the management context. Second goal is to develop means of practicing social skills between designers and managers. This article explores the affective components of design thinking in industrial management domain. In the conceptual part of this paper are discussed concepts of network and project economy, creativity, communication, use of metaphors, and design thinking. Finally is introduced empirical research plan and first empirical results from design method experiments among the multi-disciplined groups of the master-level students of industrial engineering and management and software engineering.

  12. 77 FR 31368 - Guidance on Meetings With Industry and Investigators on the Research and Development of Tobacco...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-05-25

    ... HUMAN SERVICES Food and Drug Administration Guidance on Meetings With Industry and Investigators on the... guidance for industry entitled ``Meetings with Industry and Investigators on the Research and Development... development or marketing of tobacco products. The guidance is intended to assist persons seeking a...

  13. Proceedings of the DOE/Industry Sensor Working Group meeting, Austin, Texas

    SciTech Connect

    Not Available

    1988-11-01

    This paper report contains topics presented at a sensor workshop group meeting. The topics describe measuring instruments of use in the pulp and paper industry. Topics include: measurement of solids fraction; process instrumentation research for the pulp paper industry; real-time non-contact optical surface motion monitor; on-machine sensors to measure paper mechanical properties; hierarchical intelligent control of industrial processes -- an in-parallel lime kiln application; proposal for research on lignin concentration measurement in pulping liquors; and advanced polymeric sensor materials for industrial drying.

  14. Meeting Summary Advanced Light Water Reactor Fuels Industry Meeting Washington DC October 27 - 28, 2011

    SciTech Connect

    Not Listed

    2011-11-01

    The Advanced LWR Fuel Working Group first met in November of 2010 with the objective of looking 20 years ahead to the role that advanced fuels could play in improving light water reactor technology, such as waste reduction and economics. When the group met again in March 2011, the Fukushima incident was still unfolding. After the March meeting, the focus of the program changed to determining what we could do in the near term to improve fuel accident tolerance. Any discussion of fuels with enhanced accident tolerance will likely need to consider an advanced light water reactor with enhanced accident tolerance, along with the fuel. The Advanced LWR Fuel Working Group met in Washington D.C. on October 72-18, 2011 to continue discussions on this important topic.

  15. CODEX: exploration of semantic changes between ontology versions.

    PubMed

    Hartung, Michael; Gross, Anika; Rahm, Erhard

    2012-03-15

    Life science ontologies substantially change over time to meet the requirements of their users and to include the newest domain knowledge. Thus, an important task is to know what has been modified between two versions of an ontology (diff). This diff should contain all performed changes as compact and understandable as possible. We present CODEX (Complex Ontology Diff Explorer), a tool that allows determining semantic changes between two versions of an ontology, which users can interactively analyze in multiple ways.

  16. 77 FR 70526 - Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority Business (ITAC-11)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-26

    ... From the Federal Register Online via the Government Publishing Office OFFICE OF THE UNITED STATES TRADE REPRESENTATIVE Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority... opened meeting. SUMMARY: The Industry Trade Advisory Committee on Small and Minority Business...

  17. 76 FR 60582 - Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority Business (ITAC-11)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-09-29

    ... From the Federal Register Online via the Government Publishing Office OFFICE OF THE UNITED STATES TRADE REPRESENTATIVE Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority... meeting. SUMMARY: The Industry Trade Advisory Committee on Small and Minority Business (ITAC-11) will...

  18. 77 FR 14459 - Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority Business (ITAC-11)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-09

    ... From the Federal Register Online via the Government Publishing Office OFFICE OF THE UNITED STATES TRADE REPRESENTATIVE Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority... Opened Meeting. SUMMARY: The Industry Trade Advisory Committee on Small and Minority Business...

  19. 77 FR 61046 - Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority Business (ITAC-11)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-10-05

    ... From the Federal Register Online via the Government Publishing Office OFFICE OF THE UNITED STATES TRADE REPRESENTATIVE Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority... Opened Meeting. SUMMARY: The Industry Trade Advisory Committee on Small and Minority Business...

  20. 77 FR 43416 - Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority Business (ITAC-11)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-07-24

    ... TRADE REPRESENTATIVE Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority... opened meeting. SUMMARY: The Industry Trade Advisory Committee on Small and Minority Business (ITAC-11.... --Congressional perspective on trade barriers for small and minority business. --Update on pending...

  1. 75 FR 56651 - Notice of Cancellation of Meeting of the Chairs of the Industry Trade Advisory Committee (ITACs)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-16

    ... From the Federal Register Online via the Government Publishing Office OFFICE OF THE UNITED STATES TRADE REPRESENTATIVE Notice of Cancellation of Meeting of the Chairs of the Industry Trade Advisory.... 172, Page 54416, announcing a meeting of the Industry Trade Advisory Committee Chairs (ITACs...

  2. Meeting Technology and Manpower Needs through the Industry/University Interface. An Aerospace Industry Perspective.

    ERIC Educational Resources Information Center

    Aerospace Industries Association of America, Inc., Washington, DC.

    The Aerospace Industries Association (AIA) examined its member companies and their existing university relationships as an initial step in the process of strengthening these ties. Information drawn from background research, interviews (with company representatives and university, government, and private sector spokesmen), and a formal survey of…

  3. Meeting Technology and Manpower Needs through the Industry/University Interface. An Aerospace Industry Perspective.

    ERIC Educational Resources Information Center

    Aerospace Industries Association of America, Inc., Washington, DC.

    The Aerospace Industries Association (AIA) examined its member companies and their existing university relationships as an initial step in the process of strengthening these ties. Information drawn from background research, interviews (with company representatives and university, government, and private sector spokesmen), and a formal survey of…

  4. Pattern of Duplicate Presentations at National Hematology-Oncology Meetings: Influence of the Pharmaceutical Industry.

    PubMed

    Ramchandren, Radhakrishnan; Schiffer, Charles A

    2016-03-01

    The major large US hematology-oncology meetings sponsored by the American Society of Hematology (ASH) and American Society of Clinical Oncology (ASCO) have specific guidelines in place discouraging submission of scientific information presented previously at other meetings. Nonetheless, duplicate submissions are frequent. The incidence and motivations for duplicate hematologic presentations and the influence of the pharmaceutical industry on this process have not been thoroughly analyzed. Therefore, were viewed four consecutive ASH and ASCO meetings to assess the frequency of duplicate abstract presentations. All abstracts presented at ASCO2010 in the area of malignant hematology were compared with abstracts from ASCO and ASH 2009 and ASH 2010, and funding sources were reviewed. More than half (54%) of all abstracts submitted to ASCO 2010 acknowledged pharmaceutical company support. Almost one third (31%) of ASCO 2010 abstracts were resubmitted in the 2-year time period, and it was notable that a high fraction (75%) of these duplicate abstracts had pharmaceutical industry sponsorship, compared with 42% of the abstracts that were submitted only once. Despite current guidelines prohibiting duplicate abstract presentation, a substantial proportion (31%) of abstracts at large international hematology-oncology meetings are duplicative, with potential negative consequences. In addition, a disproportionate percentage of the duplicate abstracts rely on pharmaceutical industry support (75%), suggesting that marketing strategies may be a motivation for some of these repetitive submissions.

  5. Ontology Reuse in Geoscience Semantic Applications

    NASA Astrophysics Data System (ADS)

    Mayernik, M. S.; Gross, M. B.; Daniels, M. D.; Rowan, L. R.; Stott, D.; Maull, K. E.; Khan, H.; Corson-Rikert, J.

    2015-12-01

    The tension between local ontology development and wider ontology connections is fundamental to the Semantic web. It is often unclear, however, what the key decision points should be for new semantic web applications in deciding when to reuse existing ontologies and when to develop original ontologies. In addition, with the growth of semantic web ontologies and applications, new semantic web applications can struggle to efficiently and effectively identify and select ontologies to reuse. This presentation will describe the ontology comparison, selection, and consolidation effort within the EarthCollab project. UCAR, Cornell University, and UNAVCO are collaborating on the EarthCollab project to use semantic web technologies to enable the discovery of the research output from a diverse array of projects. The EarthCollab project is using the VIVO Semantic web software suite to increase discoverability of research information and data related to the following two geoscience-based communities: (1) the Bering Sea Project, an interdisciplinary field program whose data archive is hosted by NCAR's Earth Observing Laboratory (EOL), and (2) diverse research projects informed by geodesy through the UNAVCO geodetic facility and consortium. This presentation will outline of EarthCollab use cases, and provide an overview of key ontologies being used, including the VIVO-Integrated Semantic Framework (VIVO-ISF), Global Change Information System (GCIS), and Data Catalog (DCAT) ontologies. We will discuss issues related to bringing these ontologies together to provide a robust ontological structure to support the EarthCollab use cases. It is rare that a single pre-existing ontology meets all of a new application's needs. New projects need to stitch ontologies together in ways that fit into the broader semantic web ecosystem.

  6. Industrial Base: Contractors Have Ability to Meet Requirements for Rations During Wartime

    DTIC Science & Technology

    1994-08-01

    pallets ) at its depots A Tray pack pan holds at least 6 savigs and as many as 18 dependIng on the food type. iage 1 GAf/N5JAD44-180 Industrial Base...industrial base to surge to meet wartime requirements for individual rations called Meal Ready-to-Eat (MPE) and a group ration called Tray pack1I Also... Tray packs to fill that need. The demand for these rations is high in wartime and low in peacetime, since they are consumed primarily in field

  7. 71 FR 36519 - Announcement of a Meeting To Explore Feasibility of Establishing a NIST/Industry Consortium on...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2006-06-27

    ... Establishing a NIST/Industry Consortium on Metrological Aspects of X-Ray Diffraction and X-Ray Reflectometry... evaluate industry interest in a NIST/Industry Consortium on metrological aspects of X-Ray ] Diffraction and... pre-consortium meeting to be held on August 10, 2006 in conjunction with the 55th Annual Denver X-......

  8. Representing default knowledge in biomedical ontologies: application to the integration of anatomy and phenotype ontologies

    PubMed Central

    Hoehndorf, Robert; Loebe, Frank; Kelso, Janet; Herre, Heinrich

    2007-01-01

    Background Current efforts within the biomedical ontology community focus on achieving interoperability between various biomedical ontologies that cover a range of diverse domains. Achieving this interoperability will contribute to the creation of a rich knowledge base that can be used for querying, as well as generating and testing novel hypotheses. The OBO Foundry principles, as applied to a number of biomedical ontologies, are designed to facilitate this interoperability. However, semantic extensions are required to meet the OBO Foundry interoperability goals. Inconsistencies may arise when ontologies of properties – mostly phenotype ontologies – are combined with ontologies taking a canonical view of a domain – such as many anatomical ontologies. Currently, there is no support for a correct and consistent integration of such ontologies. Results We have developed a methodology for accurately representing canonical domain ontologies within the OBO Foundry. This is achieved by adding an extension to the semantics for relationships in the biomedical ontologies that allows for treating canonical information as default. Conclusions drawn from default knowledge may be revoked when additional information becomes available. We show how this extension can be used to achieve interoperability between ontologies, and further allows for the inclusion of more knowledge within them. We apply the formalism to ontologies of mouse anatomy and mammalian phenotypes in order to demonstrate the approach. Conclusion Biomedical ontologies require a new class of relations that can be used in conjunction with default knowledge, thereby extending those currently in use. The inclusion of default knowledge is necessary in order to ensure interoperability between ontologies. PMID:17925014

  9. Simple Ontology Format (SOFT)

    SciTech Connect

    Sorokine, Alexandre

    2011-10-01

    Simple Ontology Format (SOFT) library and file format specification provides a set of simple tools for developing and maintaining ontologies. The library, implemented as a perl module, supports parsing and verification of the files in SOFt format, operations with ontologies (adding, removing, or filtering of entities), and converting of ontologies into other formats. SOFT allows users to quickly create ontologies using only a basic text editor, verify it, and portray it in a graph layout system using customized styles.

  10. The Role of Industrial Relations Centers, Proceedings of a Regional Meeting of the International Industrial Relations Association (Chicago, May 17-18, 1968).

    ERIC Educational Resources Information Center

    Wisconsin Univ., Madison. Industrial Relations Research Inst.

    This meeting was held to exchange views on organization, operation, and goals of industrial relations centers, institutes, and schools. The opening speaker outlined the structure and functions of the international organization and of the regional conferences. The first paper, "Administrative Arrangements in Industrial Relations Centers," was based…

  11. 75 FR 80790 - Multi-Family Housing Program 2011 Industry Forums-Open Teleconference and/or Web Conference Meetings

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-12-23

    ... Rural Housing Service Multi-Family Housing Program 2011 Industry Forums--Open Teleconference and/or Web... series of teleconference and/or Web conference meetings regarding the USDA Multi-Family Housing Program. The teleconference and/or Web conference meetings will be scheduled on a quarterly basis, but may be...

  12. 75 FR 3197 - Notice of a Public Meeting on Administration of the Business and Industry Guaranteed Loan Program

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-01-20

    ... Rural Business-Cooperative Service Notice of a Public Meeting on Administration of the Business and Industry Guaranteed Loan Program AGENCY: Rural Business-Cooperative Service, USDA. ACTION: Notice of public meeting. SUMMARY: The Rural Business-Cooperative Service (RBS), an Agency within the USDA...

  13. Representing COA with Probabilistic Ontologies

    DTIC Science & Technology

    2011-06-01

    in utility measures, may be combined with probabilities (RUSSEL; NORVIG , 2002). Ontologies have been proposed as a tool to better express a domain...all non mentioned literals are unknown (RUSSEL; NORVIG , 2002) and must be described in the context nodes. Thus, all available information should be...Information Systems: Meeting the Challenge of the Knowledge Era. : Greenwood Publishing Group, 1996. 183 p. RUSSEL, S.; NORVIG , P. Artificial

  14. Use of the CIM Ontology

    SciTech Connect

    Neumann, Scott; Britton, Jay; Devos, Arnold N.; Widergren, Steven E.

    2006-02-08

    There are many uses for the Common Information Model (CIM), an ontology that is being standardized through Technical Committee 57 of the International Electrotechnical Commission (IEC TC57). The most common uses to date have included application modeling, information exchanges, information management and systems integration. As one should expect, there are many issues that become apparent when the CIM ontology is applied to any one use. Some of these issues are shortcomings within the current draft of the CIM, and others are a consequence of the different ways in which the CIM can be applied using different technologies. As the CIM ontology will and should evolve, there are several dangers that need to be recognized. One is overall consistency and impact upon applications when extending the CIM for a specific need. Another is that a tight coupling of the CIM to specific technologies could limit the value of the CIM in the longer term as an ontology, which becomes a larger issue over time as new technologies emerge. The integration of systems is one specific area of interest for application of the CIM ontology. This is an area dominated by the use of XML for the definition of messages. While this is certainly true when using Enterprise Application Integration (EAI) products, it is even more true with the movement towards the use of Web Services (WS), Service-Oriented Architectures (SOA) and Enterprise Service Buses (ESB) for integration. This general IT industry trend is consistent with trends seen within the IEC TC57 scope of power system management and associated information exchange. The challenge for TC57 is how to best leverage the CIM ontology using the various XML technologies and standards for integration. This paper will provide examples of how the CIM ontology is used and describe some specific issues that should be addressed within the CIM in order to increase its usefulness as an ontology. It will also describe some of the issues and challenges that will

  15. Datamining with Ontologies.

    PubMed

    Hoehndorf, Robert; Gkoutos, Georgios V; Schofield, Paul N

    2016-01-01

    The use of ontologies has increased rapidly over the past decade and they now provide a key component of most major databases in biology and biomedicine. Consequently, datamining over these databases benefits from considering the specific structure and content of ontologies, and several methods have been developed to use ontologies in datamining applications. Here, we discuss the principles of ontology structure, and datamining methods that rely on ontologies. The impact of these methods in the biological and biomedical sciences has been profound and is likely to increase as more datasets are becoming available using common, shared ontologies.

  16. An ontology for description of drug discovery investigations.

    PubMed

    Qi, Da; King, Ross D; Hopkins, Andrew L; Bickerton, G Richard J; Soldatova, Larisa N

    2010-03-25

    The paper presents an ontology for the description of Drug Discovery Investigation (DDI).This has been developed through the use of a Robot Scientist "Eve", and in consultation with industry. DDI aims to define the principle entities and the relations in the research and development phase of the drug discovery pipeline. DDI is highly transferable and extendable due to its adherence to accepted standards, and compliance with existing ontology resources. This enables DDI to be integrated with such related ontologies as the Vaccine Ontology, the Advancing Clinico-Genomic Trials on Cancer Master Ontology, etc. DDI is available at http://purl.org/ddi/wikipedia or http://purl.org/ddi/home.

  17. A Spiral Step-by-Step Educational Method for Cultivating Competent Embedded System Engineers to Meet Industry Demands

    ERIC Educational Resources Information Center

    Jing,Lei; Cheng, Zixue; Wang, Junbo; Zhou, Yinghui

    2011-01-01

    Embedded system technologies are undergoing dramatic change. Competent embedded system engineers are becoming a scarce resource in the industry. Given this, universities should revise their specialist education to meet industry demands. In this paper, a spirally tight-coupled step-by-step educational method, based on an analysis of industry…

  18. A Spiral Step-by-Step Educational Method for Cultivating Competent Embedded System Engineers to Meet Industry Demands

    ERIC Educational Resources Information Center

    Jing,Lei; Cheng, Zixue; Wang, Junbo; Zhou, Yinghui

    2011-01-01

    Embedded system technologies are undergoing dramatic change. Competent embedded system engineers are becoming a scarce resource in the industry. Given this, universities should revise their specialist education to meet industry demands. In this paper, a spirally tight-coupled step-by-step educational method, based on an analysis of industry…

  19. Is research presented at the scoliosis research society annual meeting influenced by industry funding?

    PubMed

    Roach, James W; Skaggs, David L; Sponseller, Paul D; Macleod, Lynne M

    2008-09-15

    All abstracts submitted to the 2006 SRS annual meeting were reviewed. To determine the rate of funding in abstracts submitted for presentation at the 2006 Annual Scoliosis Research Society (SRS) meeting and whether funding produced bias toward a positive outcome. Financial conflicts of interest have been attributed to bias in research. Three members the SRS Program Committee reviewed 610 abstracts submitted for presentation at the 2006 annual meeting. The committee's average grade was correlated with type of funding (industry, professional society, university); abstract conclusions (favorable, unfavorable, or only descriptive); and subject category [adolescent idiopathic scoliosis (AIS), motion preservation, etc.]. Of the 610 submitted articles, 72% (n = 440) were unfunded. Of the 170 funded articles, 140 were supported by industry, 7 by government agency, 8 by professional societies, 4 by universities, and 11 by private foundations. There was no statistically significant difference between the reviewers' grades of funded versus unfunded articles (P = 0.39). Comparing AIS articles to all the other categories, the number of funded articles were significantly greater only in motion preservation (P < 0.001) and genetics (P = 0.039). When a consultant/employee relationship was present, there was a significant difference in the proportion of funded articles and favorable findings (P = 0.048). The higher percentage of funded articles in motion preservation and genetics compared to AIS articles could reflect a bias in those 2 areas. However, although there were more funded articles in those 2 areas there were not more funded, favorable articles (motion preservation P = 0.059, and genetics P = 0.3). Thus, certain categories attracted more funding than others but there was not a bias toward favorable findings within the funded articles unless the funding was due to a consultant/employee relationship.

  20. Assessment Applications of Ontologies.

    ERIC Educational Resources Information Center

    Chung, Gregory K. W. K.; Niemi, David; Bewley, William L.

    This paper discusses the use of ontologies and their applications to assessment. An ontology provides a shared and common understanding of a domain that can be communicated among people and computational systems. The ontology captures one or more experts' conceptual representation of a domain expressed in terms of concepts and the relationships…

  1. The Development of Ontology from Multiple Databases

    NASA Astrophysics Data System (ADS)

    Kasim, Shahreen; Aswa Omar, Nurul; Fudzee, Mohd Farhan Md; Azhar Ramli, Azizul; Aizi Salamat, Mohamad; Mahdin, Hairulnizam

    2017-08-01

    The area of halal industry is the fastest growing global business across the world. The halal food industry is thus crucial for Muslims all over the world as it serves to ensure them that the food items they consume daily are syariah compliant. Currently, ontology has been widely used in computer sciences area such as web on the heterogeneous information processing, semantic web, and information retrieval. However, ontology has still not been used widely in the halal industry. Today, Muslim community still have problem to verify halal status for products in the market especially foods consisting of E number. This research tried to solve problem in validating the halal status from various halal sources. There are various chemical ontology from multilple databases found to help this ontology development. The E numbers in this chemical ontology are codes for chemicals that can be used as food additives. With this E numbers ontology, Muslim community could identify and verify the halal status effectively for halal products in the market.

  2. From Information Society to Knowledge Society: The Ontology Issue

    NASA Astrophysics Data System (ADS)

    Roche, Christophe

    2002-09-01

    Information society, virtual enterprise, e-business rely more and more on communication and knowledge sharing between heterogeneous actors. But, no communication is possible, and all the more so no co-operation or collaboration, if those actors do not share the same or at least a compatible meaning for the terms they use. Ontology, understood as an agreed vocabulary of common terms and meanings, is a solution to that problem. Nevertheless, although there is quite a lot of experience in using ontologies, several barriers remain which stand against a real use of ontology. As a matter of fact, it is very difficult to build, reuse and share ontologies. We claim that the ontology problem requires a multidisciplinary approach based on sound epistemological, logical and linguistic principles. This article presents the Ontological Knowledge Station (OK Station©), a software environment for building and using ontologies which relies on such principles. The OK Station is currently being used in several industrial applications.

  3. An Ontology of Therapies

    NASA Astrophysics Data System (ADS)

    Eccher, Claudio; Ferro, Antonella; Pisanelli, Domenico M.

    Ontologies are the essential glue to build interoperable systems and the talk of the day in the medical community. In this paper we present the ontology of medical therapies developed in the course of the Oncocure project, aimed at building a guideline based decision support integrated with a legacy Electronic Patient Record (EPR). The therapy ontology is based upon the DOLCE top level ontology. It is our opinion that our ontology, besides constituting a model capturing the precise meaning of therapy-related concepts, can serve for several practical purposes: interfacing automatic support systems with a legacy EPR, allowing the automatic data analysis, and controlling possible medical errors made during EPR data input.

  4. Bringing Ontology to the Gene Ontology

    PubMed Central

    Andersen, William

    2003-01-01

    We present an analysis of some considerations involved in expressing the Gene Ontology (GO) as a machine-processible ontology, reflecting principles of formal ontology. GO is a controlled vocabulary that is intended to facilitate communication between biologists by standardizing usage of terms in database annotations. Making such controlled vocabularies maximally useful in support of bioinformatics applications requires explicating in machine-processible form the implicit background information that enables human users to interpret the meaning of the vocabulary terms. In the case of GO, this process would involve rendering the meanings of GO into a formal (logical) language with the help of domain experts, and adding additional information required to support the chosen formalization. A controlled vocabulary augmented in these ways is commonly called an ontology. In this paper, we make a modest exploration to determine the ontological requirements for this extended version of GO. Using the terms within the three GO hierarchies (molecular function, biological process and cellular component), we investigate the facility with which GO concepts can be ontologized, using available tools from the philosophical and ontological engineering literature. PMID:18629099

  5. Examples of Ontology

    NASA Astrophysics Data System (ADS)

    Gaševic, Dragan; Djuric, Dragan; Devedžic, Vladan

    In the previous chapters we introduced the basic concepts of MOF-based languages for developing ontologies, such as the Ontology Definition Metamodel (ODM) and the Ontology UML Profile (OUP). We also discussed mappings between those languages and the OWL language. The purpose of this chapter is to illustrate the use of MOF-based languages for developing real-world ontologies. Here we discuss two different ontologies that we developed in different domains. The first example is a Petri net ontology that formalizes the representation of Petri nets, a well-known tool for modeling, simulation, and analysis of systems and processes. This Petri net ontology overcomes the syntactic constraints of the present XMLbased standard for sharing Petri net models, namely Petri Net Markup Language.

  6. The geothermal partnership: Industry, utilities, and government meeting the challenges of the 90's

    SciTech Connect

    Not Available

    1991-01-01

    Each year the Geothermal Division of the US Department of Energy conducts an in-depth review of its entire geothermal R D program. The conference serves several purposes: a status report on current R D activities, an assessment of progress and problems, a review of management issues, and a technology transfer opportunity between DOE and the US geothermal community. This year's conference, Program Review IX, was held in San Francisco on March 19--21, 1991. The theme of this review was The Geothermal Partnership -- Industry, Utilities, and Government Meeting the Challenges of the 90's.'' The importance of this partnership has increased markedly as demands for improved technology must be balanced with available research resources. By working cooperatively, the geothermal community, including industry, utilities, DOE, and other state and federal agencies, can more effectively address common research needs. The challenge currently facing the geothermal partnership is to strengthen the bonds that ultimately will enhance opportunities for future development of geothermal resources. Program Review IX consisted of eight sessions including an opening session. The seven technical sessions included presentations by the relevant field researchers covering DOE-sponsored R D in hydrothermal, hot dry rock, and geopressured energy and the progress associated with the Long Valley Exploratory Well. Individual papers have been cataloged separately.

  7. The Proteasix Ontology.

    PubMed

    Arguello Casteleiro, Mercedes; Klein, Julie; Stevens, Robert

    2016-06-04

    The Proteasix Ontology (PxO) is an ontology that supports the Proteasix tool; an open-source peptide-centric tool that can be used to predict automatically and in a large-scale fashion in silico the proteases involved in the generation of proteolytic cleavage fragments (peptides) The PxO re-uses parts of the Protein Ontology, the three Gene Ontology sub-ontologies, the Chemical Entities of Biological Interest Ontology, the Sequence Ontology and bespoke extensions to the PxO in support of a series of roles: 1. To describe the known proteases and their target cleaveage sites. 2. To enable the description of proteolytic cleaveage fragments as the outputs of observed and predicted proteolysis. 3. To use knowledge about the function, species and cellular location of a protease and protein substrate to support the prioritisation of proteases in observed and predicted proteolysis. The PxO is designed to describe the biological underpinnings of the generation of peptides. The peptide-centric PxO seeks to support the Proteasix tool by separating domain knowledge from the operational knowledge used in protease prediction by Proteasix and to support the confirmation of its analyses and results. The Proteasix Ontology may be found at: http://bioportal.bioontology.org/ontologies/PXO . This ontology is free and open for use by everyone.

  8. 78 FR 19492 - Draft Guidance for Industry on Formal Meetings Between FDA and Biosimilar Biological Product...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-04-01

    ... Product Development. 7. Meeting Type Being Requested (i.e., Biosimilar Initial Advisory meeting, BPD Type... detail of the data should be appropriate to the meeting type requested and the product development stage... formal meetings between FDA and sponsors or applicants relating to the development and review...

  9. Ontology Construction Tool Kit

    DTIC Science & Technology

    2000-01-01

    for translating, loading, and saving ontologies encoded in a subset of KIF. The ontologies were loaded into Ocelot , which is a frame representation...KIF. The ontologies were loaded into Ocelot , which is a frame representation system. We extended our collaboration system to deal with schema...presented the KB content in many different ways. Second, once the HPKB-UL was loaded into our OKBC server, Ocelot , we used the GKB-Editor to comprehend

  10. Architectural analysis of clinical ontologies for pHealth interoperability.

    PubMed

    Uribe, Gustavo A; López, Diego M; Blobel, Bernd

    2012-01-01

    Comprehensive interoperability between eHealth/pHealth systems requires properly represented shared knowledge. Formal ontologies allow specifying the semantics of health knowledge representation in a well-defined and unambiguous manner. The objective of this paper is to formally analyze - from a system-theoretical architectural perspective - existing clinical ontologies. The paper defines important ontology requirements for semantically interoperable pHealth/eHealth systems. Then, based on those requirements, 17 criteria are defined and used for analyzing 129 clinical ontologies. Statistical results confirm that most ontologies do not meet the defined criteria. OBO foundry defines a good approach to meet all defined criteria, but it does not cover yet the clinical domain as a whole. SNOMED CT was found the more comprehensive one, despite several restrictions.

  11. 75 FR 34802 - Meeting To Learn of U.S. Information and Communications Technologies (ICT) Industry Efforts To...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-06-18

    ... To Learn of U.S. Information and Communications Technologies (ICT) Industry Efforts To Assist Haitian... facilitated by Deputy U.S. Coordinator Steven Lett. The meeting's agenda will focus on learning about the... (contact information below) by June 30, along with an indication of any requirements for multimedia...

  12. 77 FR 23673 - Notice of Stakeholder Meeting: Industry Roundtable-DON/USDA/DOE/DOT-FAA Advanced Drop-In Biofuels...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-04-20

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF DEFENSE Department of the Navy Notice of Stakeholder Meeting: Industry Roundtable--DON/USDA/DOE/ DOT-FAA Advanced.... Federal government representatives will also be able to hear from stakeholders as to their abilities...

  13. THURSDAY: EPA to Hold a Public Meeting About the Cleanup of Cavenham Forest Industries Site in Gulfport

    EPA Pesticide Factsheets

    ATLANTA - Gulfport residents are invited to attend a public meeting about the ongoing cleanup of the Cavenham Forest Industries (CFI) facility. CFI is a former wood treating plant that closed in 1987 after operating for over 80 years at 9502 Creosot

  14. 23 CFR 636.115 - May I meet with industry to gather information concerning the appropriate risk allocation...

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 23 Highways 1 2011-04-01 2011-04-01 false May I meet with industry to gather information concerning the appropriate risk allocation strategies? 636.115 Section 636.115 Highways FEDERAL HIGHWAY ADMINISTRATION, DEPARTMENT OF TRANSPORTATION ENGINEERING AND TRAFFIC OPERATIONS DESIGN-BUILD CONTRACTING...

  15. 75 FR 41276 - Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority Business (ITAC-11)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-15

    ....-China Trade Issues, including China Currency, Export Subsidies, Indigenous Innovation, IPR, and other... TRADE REPRESENTATIVE Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority Business (ITAC-11) AGENCY: Office of the United States Trade Representative. ACTION: Notice of an...

  16. 76 FR 66040 - Announcement of Meeting To Explore Feasibility of Establishing a NIST/Industry Consortium on...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-10-25

    ... Establishing a NIST/Industry Consortium on ``Concrete Rheology: Enabling Metrology (CREME)'' AGENCY: National... Institute of Standards and Technology (NIST) invites interested parties to attend a pre-consortium meeting on November 8, ] 2011 to be held at the NIST campus, with the option of participating via web-based...

  17. 78 FR 12413 - Notice of Meeting of the Industry Trade Advisory Committee on Small and Minority Business (ITAC-11)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-22

    ... Launch --Doing Business in Africa Initiative --Metropolitan Export Initiative Tiffany Enoch, Deputy... Business (ITAC-11) AGENCY: Office of the United States Trade Representative. ACTION: Notice of a Partially Opened Meeting. SUMMARY: The Industry Trade Advisory Committee on Small and Minority Business...

  18. Kuhn's Ontological Relativism.

    ERIC Educational Resources Information Center

    Sankey, Howard

    2000-01-01

    Discusses Kuhn's model of scientific theory change. Documents Kuhn's move away from conceptual relativism and rational relativism. Provides an analysis of his present ontological form of relativism. (CCM)

  19. Kuhn's Ontological Relativism.

    ERIC Educational Resources Information Center

    Sankey, Howard

    2000-01-01

    Discusses Kuhn's model of scientific theory change. Documents Kuhn's move away from conceptual relativism and rational relativism. Provides an analysis of his present ontological form of relativism. (CCM)

  20. Primer on Ontologies.

    PubMed

    Hastings, Janna

    2017-01-01

    As molecular biology has increasingly become a data-intensive discipline, ontologies have emerged as an essential computational tool to assist in the organisation, description and analysis of data. Ontologies describe and classify the entities of interest in a scientific domain in a computationally accessible fashion such that algorithms and tools can be developed around them. The technology that underlies ontologies has its roots in logic-based artificial intelligence, allowing for sophisticated automated inference and error detection. This chapter presents a general introduction to modern computational ontologies as they are used in biology.

  1. Ontology Sparse Vector Learning Algorithm for Ontology Similarity Measuring and Ontology Mapping via ADAL Technology

    NASA Astrophysics Data System (ADS)

    Gao, Wei; Zhu, Linli; Wang, Kaiyun

    2015-12-01

    Ontology, a model of knowledge representation and storage, has had extensive applications in pharmaceutics, social science, chemistry and biology. In the age of “big data”, the constructed concepts are often represented as higher-dimensional data by scholars, and thus the sparse learning techniques are introduced into ontology algorithms. In this paper, based on the alternating direction augmented Lagrangian method, we present an ontology optimization algorithm for ontological sparse vector learning, and a fast version of such ontology technologies. The optimal sparse vector is obtained by an iterative procedure, and the ontology function is then obtained from the sparse vector. Four simulation experiments show that our ontological sparse vector learning model has a higher precision ratio on plant ontology, humanoid robotics ontology, biology ontology and physics education ontology data for similarity measuring and ontology mapping applications.

  2. An Investigation of the Effectiveness of Four-Year Industrial Technology Programs In Preparing Industrial Electronic Technicians to Meet the Requirements of Industry.

    ERIC Educational Resources Information Center

    Prewitt, Roger W.

    To determine the effectiveness of the 4-year industrial technology programs in preparing industrial electronic technicians for employment in industry, data were obtained through an opinionnaire, which was sent to the higher education institutions offering a 4-year electronic technician program and to selected industrial representatives located in…

  3. The Ontology of Disaster.

    ERIC Educational Resources Information Center

    Thompson, Neil

    1995-01-01

    Explores some key existential or ontological concepts to show their applicability to the complex area of disaster impact as it relates to health and social welfare practice. Draws on existentialist philosophy, particularly that of John Paul Sartre, and introduces some key ontological concepts to show how they specifically apply to the experience…

  4. Constructive Ontology Engineering

    ERIC Educational Resources Information Center

    Sousan, William L.

    2010-01-01

    The proliferation of the Semantic Web depends on ontologies for knowledge sharing, semantic annotation, data fusion, and descriptions of data for machine interpretation. However, ontologies are difficult to create and maintain. In addition, their structure and content may vary depending on the application and domain. Several methods described in…

  5. The Ontology of Disaster.

    ERIC Educational Resources Information Center

    Thompson, Neil

    1995-01-01

    Explores some key existential or ontological concepts to show their applicability to the complex area of disaster impact as it relates to health and social welfare practice. Draws on existentialist philosophy, particularly that of John Paul Sartre, and introduces some key ontological concepts to show how they specifically apply to the experience…

  6. Constructive Ontology Engineering

    ERIC Educational Resources Information Center

    Sousan, William L.

    2010-01-01

    The proliferation of the Semantic Web depends on ontologies for knowledge sharing, semantic annotation, data fusion, and descriptions of data for machine interpretation. However, ontologies are difficult to create and maintain. In addition, their structure and content may vary depending on the application and domain. Several methods described in…

  7. Determining Fitness-For-Use of Ontologies Through Change Management, Versioning and Publication Best Practices

    NASA Astrophysics Data System (ADS)

    West, P.; Zednik, S.; Fu, L.; Ma, X.; Fox, P. A.

    2015-12-01

    There is a large and growing number of domain ontologies available for researchers to leverage in their applications. When evaluating the use of an ontology it is important to not only consider whether the concepts and relationships defined in the ontology meet the requirements for purpose of use, but also how the change management, versioning and publication practices followed by the ontology publishers affect the maturity, stability, and long-term fitness-for-use of the ontology. In this presentation we share our experiences and a list of best practices we have developed when determining fitness for use of existing ontologies, and the process we follow when developing of our own ontologies and extensions to existing ontologies. Our experience covers domains such as solar terrestrial physics, geophysics and oceanography; and the use of general purpose ontologies such as those with representations of people, organizations, data catalogs, observations and measurements and provenance. We will cover how we determine ontology scope, manage ontology change, specify ontology version, and what best practices we follow for ontology publication and use. The implications of following these best practices is that the ontologies we use and develop are mature, stable, have a well-defined scope, and are published in accordance with linked data principles.

  8. Towards Agile Ontology Maintenance

    NASA Astrophysics Data System (ADS)

    Luczak-Rösch, Markus

    Ontologies are an appropriate means to represent knowledge on the Web. Research on ontology engineering reached practices for an integrative lifecycle support. However, a broader success of ontologies in Web-based information systems remains unreached while the more lightweight semantic approaches are rather successful. We assume, paired with the emerging trend of services and microservices on the Web, new dynamic scenarios gain momentum in which a shared knowledge base is made available to several dynamically changing services with disparate requirements. Our work envisions a step towards such a dynamic scenario in which an ontology adapts to the requirements of the accessing services and applications as well as the user's needs in an agile way and reduces the experts' involvement in ontology maintenance processes.

  9. Ayurveda research: Ontological challenges

    PubMed Central

    Nayak, Jayakrishna

    2012-01-01

    Collaborative research involving Ayurveda and the current sciences is undoubtedly an imperative and is emerging as an exciting horizon, particularly in basic sciences. Some work in this direction is already going on and outcomes are awaited with bated breath. For instance the ‘ASIIA (A Science Initiative In Ayurveda)’ projects of Dept of Science and Technology, Govt of India, which include studies such as Ayurvedic Prakriti and Genetics. Further intense and sustained collaborative research needs to overcome a subtle and fundamental challenge-the ontologic divide between Ayurveda and all the current sciences. Ontology, fundamentally, means existence; elaborated, ontology is a particular perspective of an object of existence and the vocabulary developed to share that perspective. The same object of existence is susceptible to several ontologies. Ayurveda and modern biomedical as well as other sciences belong to different ontologies, and as such, collaborative research cannot be carried out at required levels until a mutually acceptable vocabulary is developed. PMID:22529675

  10. The neurological disease ontology.

    PubMed

    Jensen, Mark; Cox, Alexander P; Chaudhry, Naveed; Ng, Marcus; Sule, Donat; Duncan, William; Ray, Patrick; Weinstock-Guttman, Bianca; Smith, Barry; Ruttenberg, Alan; Szigeti, Kinga; Diehl, Alexander D

    2013-12-06

    We are developing the Neurological Disease Ontology (ND) to provide a framework to enable representation of aspects of neurological diseases that are relevant to their treatment and study. ND is a representational tool that addresses the need for unambiguous annotation, storage, and retrieval of data associated with the treatment and study of neurological diseases. ND is being developed in compliance with the Open Biomedical Ontology Foundry principles and builds upon the paradigm established by the Ontology for General Medical Science (OGMS) for the representation of entities in the domain of disease and medical practice. Initial applications of ND will include the annotation and analysis of large data sets and patient records for Alzheimer's disease, multiple sclerosis, and stroke. ND is implemented in OWL 2 and currently has more than 450 terms that refer to and describe various aspects of neurological diseases. ND directly imports the development version of OGMS, which uses BFO 2. Term development in ND has primarily extended the OGMS terms 'disease', 'diagnosis', 'disease course', and 'disorder'. We have imported and utilize over 700 classes from related ontology efforts including the Foundational Model of Anatomy, Ontology for Biomedical Investigations, and Protein Ontology. ND terms are annotated with ontology metadata such as a label (term name), term editors, textual definition, definition source, curation status, and alternative terms (synonyms). Many terms have logical definitions in addition to these annotations. Current development has focused on the establishment of the upper-level structure of the ND hierarchy, as well as on the representation of Alzheimer's disease, multiple sclerosis, and stroke. The ontology is available as a version-controlled file at http://code.google.com/p/neurological-disease-ontology along with a discussion list and an issue tracker. ND seeks to provide a formal foundation for the representation of clinical and research data

  11. A rapid place name locating algorithm based on ontology qualitative retrieval, ranking and recommendation

    NASA Astrophysics Data System (ADS)

    Fan, Hong; Zhu, Anfeng; Zhang, Weixia

    2015-12-01

    In order to meet the rapid positioning of 12315 complaints, aiming at the natural language expression of telephone complaints, a semantic retrieval framework is proposed which is based on natural language parsing and geographical names ontology reasoning. Among them, a search result ranking and recommended algorithms is proposed which is regarding both geo-name conceptual similarity and spatial geometry relation similarity. The experiments show that this method can assist the operator to quickly find location of 12,315 complaints, increased industry and commerce customer satisfaction.

  12. New frontiers in oilseed biotechnology: meeting the global demand for vegetable oils for food, feed, biofuel, and industrial applications.

    PubMed

    Lu, Chaofu; Napier, Johnathan A; Clemente, Thomas E; Cahoon, Edgar B

    2011-04-01

    Vegetable oils have historically been a valued commodity for food use and to a lesser extent for non-edible applications such as detergents and lubricants. The increasing reliance on biodiesel as a transportation fuel has contributed to rising demand and higher prices for vegetable oils. Biotechnology offers a number of solutions to meet the growing need for affordable vegetable oils and vegetable oils with improved fatty acid compositions for food and industrial uses. New insights into oilseed metabolism and its transcriptional control are enabling biotechnological enhancement of oil content and quality. Alternative crop platforms and emerging technologies for metabolic engineering also hold promise for meeting global demand for vegetable oils and for enhancing nutritional, industrial, and biofuel properties of vegetable oils.

  13. A Probabilistic Ontology Development Methodology

    DTIC Science & Technology

    2014-06-01

    for knowledge -sharing and reuse are explicit, logical and defensible • Standard ontological engineering methods provide insufficient support for...interoperability and provide support for automation. Today, ontologies are popular in areas such as the Semantic Web, knowledge engineering , Artificial...assigning probability to a class instantiation or representing a probability scheme using ontology constructs. Standard ontological engineering methods

  14. An ontology for a Robot Scientist.

    PubMed

    Soldatova, Larisa N; Clare, Amanda; Sparkes, Andrew; King, Ross D

    2006-07-15

    A Robot Scientist is a physically implemented robotic system that can automatically carry out cycles of scientific experimentation. We are commissioning a new Robot Scientist designed to investigate gene function in S. cerevisiae. This Robot Scientist will be capable of initiating >1,000 experiments, and making >200,000 observations a day. Robot Scientists provide a unique test bed for the development of methodologies for the curation and annotation of scientific experiments: because the experiments are conceived and executed automatically by computer, it is possible to completely capture and digitally curate all aspects of the scientific process. This new ability brings with it significant technical challenges. To meet these we apply an ontology driven approach to the representation of all the Robot Scientist's data and metadata. We demonstrate the utility of developing an ontology for our new Robot Scientist. This ontology is based on a general ontology of experiments. The ontology aids the curation and annotating of the experimental data and metadata, and the equipment metadata, and supports the design of database systems to hold the data and metadata. EXPO in XML and OWL formats is at: http://sourceforge.net/projects/expo/. All materials about the Robot Scientist project are available at: http://www.aber.ac.uk/compsci/Research/bio/robotsci/.

  15. Data mining for ontology development.

    SciTech Connect

    Davidson, George S.; Strasburg, Jana; Stampf, David; Neymotin,Lev; Czajkowski, Carl; Shine, Eugene; Bollinger, James; Ghosh, Vinita; Sorokine, Alexandre; Ferrell, Regina; Ward, Richard; Schoenwald, David Alan

    2010-06-01

    A multi-laboratory ontology construction effort during the summer and fall of 2009 prototyped an ontology for counterfeit semiconductor manufacturing. This effort included an ontology development team and an ontology validation methods team. Here the third team of the Ontology Project, the Data Analysis (DA) team reports on their approaches, the tools they used, and results for mining literature for terminology pertinent to counterfeit semiconductor manufacturing. A discussion of the value of ontology-based analysis is presented, with insights drawn from other ontology-based methods regularly used in the analysis of genomic experiments. Finally, suggestions for future work are offered.

  16. Private Industry Councils Partner to Meet the Challenge of Change in Workforce Development.

    ERIC Educational Resources Information Center

    Knight, Robert

    1998-01-01

    Discusses the shift in function of PICs (Private Industry Councils) from overseeing training programs for unemployed workers to developing the skills of the entire work force in local communities. Analyzes the relationship between community colleges and Private Industry Councils. (JDI)

  17. Towards automated biomedical ontology harmonization.

    PubMed

    Uribe, Gustavo A; Lopez, Diego M; Blobel, Bernd

    2014-01-01

    The use of biomedical ontologies is increasing, especially in the context of health systems interoperability. Ontologies are key pieces to understand the semantics of information exchanged. However, given the diversity of biomedical ontologies, it is essential to develop tools that support harmonization processes amongst them. Several algorithms and tools are proposed by computer scientist for partially supporting ontology harmonization. However, these tools face several problems, especially in the biomedical domain where ontologies are large and complex. In the harmonization process, matching is a basic task. This paper explains the different ontology harmonization processes, analyzes existing matching tools, and proposes a prototype of an ontology harmonization service. The results demonstrate that there are many open issues in the field of biomedical ontology harmonization, such as: overcoming structural discrepancies between ontologies; the lack of semantic algorithms to automate the process; the low matching efficiency of existing algorithms; and the use of domain and top level ontologies in the matching process.

  18. Steel industry of the future: Meeting the material challenges of the 21. century

    SciTech Connect

    1999-02-01

    For over a century, the US steel industry has led the global market with advances in technology, product development, and marketing. Industry leaders recognize both the opportunities and challenges they face as they head into the 21st century, and that cooperative R and D is key to their success. In a unique partnership, steel industry leaders have teamed with the US Department of Energy`s Office of Industrial Technologies (OIT) to focus on innovative technologies that will help to strengthen the competitive position of the US steel industry and, at the same time, further important national goals. This industry-led partnership, the Steel Industry of the Future, promotes technologies that optimize the use of energy and materials in operation and reduce wastes and energy-related emissions. Led by the American Iron and Steel Institute (AISI) and the Steel Manufacturers Association (SMA), industry leaders began by developing a unified vision for the next 20 years: to provide high-quality, value-added products to a wide array of customers in an environmentally friendly, cost-effective manner, while leading the world in innovation and technology. Continued global leadership in materials markets will require the combined resources of industry, universities, and government laboratories. The steel industry vision provided a framework for the next step in the Industries of the Future process, the development of a technology roadmap designed to facilitate collaborative R and D on advanced processes and technologies for the steel industry.

  19. 78 FR 14024 - Energy Efficiency Program for Commercial and Industrial Equipment: Public Meeting and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-03-04

    ... Equipment: Public Meeting and Availability of the Framework Document for Packaged Terminal Air Conditioners and Packaged Terminal Heat Pumps; Correction AGENCY: Office of Energy Efficiency and Renewable Energy... terminal air conditioners and heat pumps. This document corrects the date of the public meeting....

  20. A Method for Evaluating and Standardizing Ontologies

    ERIC Educational Resources Information Center

    Seyed, Ali Patrice

    2012-01-01

    The Open Biomedical Ontology (OBO) Foundry initiative is a collaborative effort for developing interoperable, science-based ontologies. The Basic Formal Ontology (BFO) serves as the upper ontology for the domain-level ontologies of OBO. BFO is an upper ontology of types as conceived by defenders of realism. Among the ontologies developed for OBO…

  1. A Method for Evaluating and Standardizing Ontologies

    ERIC Educational Resources Information Center

    Seyed, Ali Patrice

    2012-01-01

    The Open Biomedical Ontology (OBO) Foundry initiative is a collaborative effort for developing interoperable, science-based ontologies. The Basic Formal Ontology (BFO) serves as the upper ontology for the domain-level ontologies of OBO. BFO is an upper ontology of types as conceived by defenders of realism. Among the ontologies developed for OBO…

  2. Ontologies for Bioinformatics

    PubMed Central

    Schuurman, Nadine; Leszczynski, Agnieszka

    2008-01-01

    The past twenty years have witnessed an explosion of biological data in diverse database formats governed by heterogeneous infrastructures. Not only are semantics (attribute terms) different in meaning across databases, but their organization varies widely. Ontologies are a concept imported from computing science to describe different conceptual frameworks that guide the collection, organization and publication of biological data. An ontology is similar to a paradigm but has very strict implications for formatting and meaning in a computational context. The use of ontologies is a means of communicating and resolving semantic and organizational differences between biological databases in order to enhance their integration. The purpose of interoperability (or sharing between divergent storage and semantic protocols) is to allow scientists from around the world to share and communicate with each other. This paper describes the rapid accumulation of biological data, its various organizational structures, and the role that ontologies play in interoperability. PMID:19812775

  3. Applications of Ontology Design Patterns in Biomedical Ontologies

    PubMed Central

    Mortensen, Jonathan M.; Horridge, Matthew; Musen, Mark A.; Noy, Natalya F.

    2012-01-01

    Ontology design patterns (ODPs) are a proposed solution to facilitate ontology development, and to help users avoid some of the most frequent modeling mistakes. ODPs originate from similar approaches in software engineering, where software design patterns have become a critical aspect of software development. There is little empirical evidence for ODP prevalence or effectiveness thus far. In this work, we determine the use and applicability of ODPs in a case study of biomedical ontologies. We encoded ontology design patterns from two ODP catalogs. We then searched for these patterns in a set of eight ontologies. We found five patterns of the 69 patterns. Two of the eight ontologies contained these patterns. While ontology design patterns provide a vehicle for capturing formally reoccurring models and best practices in ontology design, we show that today their use in a case study of widely used biomedical ontologies is limited. PMID:23304337

  4. Applications of ontology design patterns in biomedical ontologies.

    PubMed

    Mortensen, Jonathan M; Horridge, Matthew; Musen, Mark A; Noy, Natalya F

    2012-01-01

    Ontology design patterns (ODPs) are a proposed solution to facilitate ontology development, and to help users avoid some of the most frequent modeling mistakes. ODPs originate from similar approaches in software engineering, where software design patterns have become a critical aspect of software development. There is little empirical evidence for ODP prevalence or effectiveness thus far. In this work, we determine the use and applicability of ODPs in a case study of biomedical ontologies. We encoded ontology design patterns from two ODP catalogs. We then searched for these patterns in a set of eight ontologies. We found five patterns of the 69 patterns. Two of the eight ontologies contained these patterns. While ontology design patterns provide a vehicle for capturing formally reoccurring models and best practices in ontology design, we show that today their use in a case study of widely used biomedical ontologies is limited.

  5. The gene ontology categorizer.

    PubMed

    Joslyn, Cliff A; Mniszewski, Susan M; Fulmer, Andy; Heaton, Gary

    2004-08-04

    The Gene Ontology Categorizer, developed jointly by the Los Alamos National Laboratory and Procter & Gamble Corp., provides a capability for the categorization task in the Gene Ontology (GO): given a list of genes of interest, what are the best nodes of the GO to summarize or categorize that list? The motivating question is from a drug discovery process, where after some gene expression analysis experiment, we wish to understand the overall effect of some cell treatment or condition by identifying 'where' in the GO the differentially expressed genes fall: 'clustered' together in one place? in two places? uniformly spread throughout the GO? 'high', or 'low'? In order to address this need, we view bio-ontologies more as combinatorially structured databases than facilities for logical inference, and draw on the discrete mathematics of finite partially ordered sets (posets) to develop data representation and algorithms appropriate for the GO. In doing so, we have laid the foundations for a general set of methods to address not just the categorization task, but also other tasks (e.g. distances in ontologies and ontology merger and exchange) in both the GO and other bio-ontologies (such as the Enzyme Commission database or the MEdical Subject Headings) cast as hierarchically structured taxonomic knowledge systems.

  6. The Ontology of the Gene Ontology

    PubMed Central

    Smith, Barry; Williams, Jennifer; Steffen, Schulze-Kremer

    2003-01-01

    The rapidly increasing wealth of genomic data has driven the development of tools to assist in the task of representing and processing information about genes, their products and their functions. One of the most important of these tools is the Gene Ontology (GO), which is being developed in tandem with work on a variety of bioinformatics databases. An examination of the structure of GO, however, reveals a number of problems, which we believe can be resolved by taking account of certain organizing principles drawn from philosophical ontology. We shall explore the results of applying such principles to GO with a view to improving GO’s consistency and coherence and thus its future applicability in the automated processing of biological data. PMID:14728245

  7. 75 FR 56651 - ITS Joint Program Office; Trucking Industry Mobility & Technology Coalition Annual Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-16

    ... meetings focused on today's top issues including: Truck IntelliDrive: Beating Gridlock with a Smart Grid; U.S. DOT Truck Technology Initiatives; and State and Federal Reauthorization Objectives....

  8. Commercial Nuclear Power Industry: Assessing and Meeting the Radiation Protection Workforce Needs.

    PubMed

    Hiatt, Jerry W

    2017-02-01

    This paper will provide an overview of the process used by the commercial nuclear power industry in assessing the status of existing industry staffing and projecting future supply demand needs. The most recent Nuclear Energy Institute-developed "Pipeline Survey Results" will be reviewed with specific emphasis on the radiation protection specialty. Both radiation protection technician and health physicist specialties will be discussed. The industry-initiated Nuclear Uniform Curriculum Program will be reviewed as an example of how the industry has addressed the need for developing additional resources. Furthermore, the reality of challenges encountered in maintaining the needed number of health physicists will also be discussed.

  9. 77 FR 36606 - Pipeline Safety: Government/Industry Pipeline Research and Development Forum, Public Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-19

    ... Pipeline and Hazardous Materials Safety Administration Pipeline Safety: Government/Industry Pipeline... a Government/Industry Pipeline Research and Development (R&D) Forum. The R&D Forums are held... pipeline safety and with protecting the environment. The forum allows public, government and...

  10. Ontology alignment architecture for semantic sensor Web integration.

    PubMed

    Fernandez, Susel; Marsa-Maestre, Ivan; Velasco, Juan R; Alarcos, Bernardo

    2013-09-18

    Sensor networks are a concept that has become very popular in data acquisition and processing for multiple applications in different fields such as industrial, medicine, home automation, environmental detection, etc. Today, with the proliferation of small communication devices with sensors that collect environmental data, semantic Web technologies are becoming closely related with sensor networks. The linking of elements from Semantic Web technologies with sensor networks has been called Semantic Sensor Web and has among its main features the use of ontologies. One of the key challenges of using ontologies in sensor networks is to provide mechanisms to integrate and exchange knowledge from heterogeneous sources (that is, dealing with semantic heterogeneity). Ontology alignment is the process of bringing ontologies into mutual agreement by the automatic discovery of mappings between related concepts. This paper presents a system for ontology alignment in the Semantic Sensor Web which uses fuzzy logic techniques to combine similarity measures between entities of different ontologies. The proposed approach focuses on two key elements: the terminological similarity, which takes into account the linguistic and semantic information of the context of the entity's names, and the structural similarity, based on both the internal and relational structure of the concepts. This work has been validated using sensor network ontologies and the Ontology Alignment Evaluation Initiative (OAEI) tests. The results show that the proposed techniques outperform previous approaches in terms of precision and recall.

  11. EPA to Hold a Public Meeting About Proposed Plan to Clean Up Soil Contamination at Benfield Industries, Inc. Superfund Site in Waynesville, N.C.

    EPA Pesticide Factsheets

    ATLANTA - On Tuesday, Jan. 13, the U.S. Environmental Protection Agency (EPA) will hold a public meeting about plans to clean up residual soil contamination at the Benfield Industries, Inc. Superfund Site in Waynesville, N.C. The meeting will be hel

  12. The "father of stress" meets "big tobacco": Hans Selye and the tobacco industry.

    PubMed

    Petticrew, Mark P; Lee, Kelley

    2011-03-01

    The concept of stress remains prominent in public health and owes much to the work of Hans Selye (1907-1982), the "father of stress." One of his main allies in this work has never been discussed as such: the tobacco industry. After an analysis of tobacco industry documents, we found that Selye received extensive tobacco industry funding and that his research on stress and health was used in litigation to defend the industry's interests and argue against a causal role for smoking in coronary heart disease and cancer. These findings have implications for assessing the scientific integrity of certain areas of stress research and for understanding corporate influences on public health research, including research on the social determinants of health.

  13. Ontological engineering versus metaphysics

    NASA Astrophysics Data System (ADS)

    Tataj, Emanuel; Tomanek, Roman; Mulawka, Jan

    2011-10-01

    It has been recognized that ontologies are a semantic version of world wide web and can be found in knowledge-based systems. A recent time survey of this field also suggest that practical artificial intelligence systems may be motivated by this research. Especially strong artificial intelligence as well as concept of homo computer can also benefit from their use. The main objective of this contribution is to present and review already created ontologies and identify the main advantages which derive such approach for knowledge management systems. We would like to present what ontological engineering borrows from metaphysics and what a feedback it can provide to natural language processing, simulations and modelling. The potential topics of further development from philosophical point of view is also underlined.

  14. Food for thought ... A toxicology ontology roadmap.

    PubMed

    Hardy, Barry; Apic, Gordana; Carthew, Philip; Clark, Dominic; Cook, David; Dix, Ian; Escher, Sylvia; Hastings, Janna; Heard, David J; Jeliazkova, Nina; Judson, Philip; Matis-Mitchell, Sherri; Mitic, Dragana; Myatt, Glenn; Shah, Imran; Spjuth, Ola; Tcheremenskaia, Olga; Toldo, Luca; Watson, David; White, Andrew; Yang, Chihae

    2012-01-01

    Foreign substances can have a dramatic and unpredictable adverse effect on human health. In the development of new therapeutic agents, it is essential that the potential adverse effects of all candidates be identified as early as possible. The field of predictive toxicology strives to profile the potential for adverse effects of novel chemical substances before they occur, both with traditional in vivo experimental approaches and increasingly through the development of in vitro and computational methods which can supplement and reduce the need for animal testing. To be maximally effective, the field needs access to the largest possible knowledge base of previous toxicology findings, and such results need to be made available in such a fashion so as to be interoperable, comparable, and compatible with standard toolkits. This necessitates the development of open, public, computable, and standardized toxicology vocabularies and ontologies so as to support the applications required by in silico, in vitro, and in vivo toxicology methods and related analysis and reporting activities. Such ontology development will support data management, model building, integrated analysis, validation and reporting, including regulatory reporting and alternative testing submission requirements as required by guidelines such as the REACH legislation, leading to new scientific advances in a mechanistically-based predictive toxicology. Numerous existing ontology and standards initiatives can contribute to the creation of a toxicology ontology supporting the needs of predictive toxicology and risk assessment. Additionally, new ontologies are needed to satisfy practical use cases and scenarios where gaps currently exist. Developing and integrating these resources will require a well-coordinated and sustained effort across numerous stakeholders engaged in a public-private partnership. In this communication, we set out a roadmap for the development of an integrated toxicology ontology

  15. 78 FR 12252 - Energy Efficiency Program for Commercial and Industrial Equipment: Public Meeting and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-22

    ... Meeting and Availability of the Framework Document for Packaged Terminal Air Conditioners and Packaged Terminal Heat Pumps AGENCY: Office of Energy Efficiency and Renewable Energy, Department of Energy. ACTION... conservation standards for packaged terminal air conditioners (PTACs) and packaged terminal heat pumps...

  16. 78 FR 17890 - Energy Efficiency Program for Commercial and Industrial Equipment: Public Meeting and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-03-25

    ... Meeting and Availability of the Framework Document for Packaged Terminal Air Conditioners and Packaged Terminal Heat Pumps AGENCY: Office of Energy Efficiency and Renewable Energy, Department of Energy. ACTION... standards for packaged terminal air conditioners (PTACs) and packaged terminal heat pumps (PTHPs). In...

  17. OTO: Ontology Term Organizer.

    PubMed

    Huang, Fengqiong; Macklin, James A; Cui, Hong; Cole, Heather A; Endara, Lorena

    2015-02-15

    The need to create controlled vocabularies such as ontologies for knowledge organization and access has been widely recognized in various domains. Despite the indispensable need of thorough domain knowledge in ontology construction, most software tools for ontology construction are designed for knowledge engineers and not for domain experts to use. The differences in the opinions of different domain experts and in the terminology usages in source literature are rarely addressed by existing software. OTO software was developed based on the Agile principles. Through iterations of software release and user feedback, new features are added and existing features modified to make the tool more intuitive and efficient to use for small and large data sets. The software is open source and built in Java. Ontology Term Organizer (OTO; http://biosemantics.arizona.edu/OTO/ ) is a user-friendly, web-based, consensus-promoting, open source application for organizing domain terms by dragging and dropping terms to appropriate locations. The application is designed for users with specific domain knowledge such as biology but not in-depth ontology construction skills. Specifically OTO can be used to establish is_a, part_of, synonym, and order relationships among terms in any domain that reflects the terminology usage in source literature and based on multiple experts' opinions. The organized terms may be fed into formal ontologies to boost their coverage. All datasets organized on OTO are publicly available. OTO has been used to organize the terms extracted from thirty volumes of Flora of North America and Flora of China combined, in addition to some smaller datasets of different taxon groups. User feedback indicates that the tool is efficient and user friendly. Being open source software, the application can be modified to fit varied term organization needs for different domains.

  18. An Ontology Representation for Water Bodies

    NASA Astrophysics Data System (ADS)

    Brodaric, B.; Hahmann, T.; Gruninger, M.

    2015-12-01

    The interoperability of hydrological data has been a major concern in recent years, as evident by the maturation of international standards as well as the development of national and international data systems. Notwithstanding the related significant efforts at modeling hydrological entities, there remain unresolved questions about some core entities that impact the design of hydro schemas, ontologies, and similar knowledge models. One such central entity is the water body, which is represented quite heterogeneously in such models, potentially challenging their interoperability. To meet this challenge, we carry out an ontological analysis of the water body entity and propose a new ontological representation for it, as part of a wider initiative into foundational hydro ontology. The representation exhibits the surprising result that a water body is a mereological entity that is essentially grounded in two types of whole-part relations. The nuanced nature of this result has the potential to inform the design of other hydro knowledge models, as well as to foster interoperability between them.

  19. Ontology development for Sufism domain

    NASA Astrophysics Data System (ADS)

    Iqbal, Rizwan

    2012-01-01

    Domain ontology is a descriptive representation of any particular domain which in detail describes the concepts in a domain, the relationships among those concepts and organizes them in a hierarchal manner. It is also defined as a structure of knowledge, used as a means of knowledge sharing to the community. An Important aspect of using ontologies is to make information retrieval more accurate and efficient. Thousands of domain ontologies from all around the world are available online on ontology repositories. Ontology repositories like SWOOGLE currently have over 1000 ontologies covering a wide range of domains. It was found that up to date there was no ontology available covering the domain of "Sufism". This unavailability of "Sufism" domain ontology became a motivation factor for this research. This research came up with a working "Sufism" domain ontology as well a framework, design of the proposed framework focuses on the resolution to problems which were experienced while creating the "Sufism" ontology. The development and working of the "Sufism" domain ontology are covered in detail in this research. The word "Sufism" is a term which refers to Islamic mysticism. One of the reasons to choose "Sufism" for ontology creation is its global curiosity. This research has also managed to create some individuals which inherit the concepts from the "Sufism" ontology. The creation of individuals helps to demonstrate the efficient and precise retrieval of data from the "Sufism" domain ontology. The experiment of creating the "Sufism" domain ontology was carried out on a tool called Protégé. Protégé is a tool which is used for ontology creation, editing and it is open source.

  20. Ontology development for Sufism domain

    NASA Astrophysics Data System (ADS)

    Iqbal, Rizwan

    2011-12-01

    Domain ontology is a descriptive representation of any particular domain which in detail describes the concepts in a domain, the relationships among those concepts and organizes them in a hierarchal manner. It is also defined as a structure of knowledge, used as a means of knowledge sharing to the community. An Important aspect of using ontologies is to make information retrieval more accurate and efficient. Thousands of domain ontologies from all around the world are available online on ontology repositories. Ontology repositories like SWOOGLE currently have over 1000 ontologies covering a wide range of domains. It was found that up to date there was no ontology available covering the domain of "Sufism". This unavailability of "Sufism" domain ontology became a motivation factor for this research. This research came up with a working "Sufism" domain ontology as well a framework, design of the proposed framework focuses on the resolution to problems which were experienced while creating the "Sufism" ontology. The development and working of the "Sufism" domain ontology are covered in detail in this research. The word "Sufism" is a term which refers to Islamic mysticism. One of the reasons to choose "Sufism" for ontology creation is its global curiosity. This research has also managed to create some individuals which inherit the concepts from the "Sufism" ontology. The creation of individuals helps to demonstrate the efficient and precise retrieval of data from the "Sufism" domain ontology. The experiment of creating the "Sufism" domain ontology was carried out on a tool called Protégé. Protégé is a tool which is used for ontology creation, editing and it is open source.

  1. A Case Study of an Academia-Industry Partnership to Meet the Education and Training Needs in a Science, Technology, Engineering & Mathematics (STEM) Field

    ERIC Educational Resources Information Center

    Richardson, Joseph Carl

    2013-01-01

    The purpose of this case study is to provide a description of the characteristics of an academia-industry partnership that works together with industry to meet the education and training needs in a Science, Technology, Engineering, and Mathematics (STEM) field. After the launch of Sputnik in 1957, U.S. pursued efforts to compete in STEM fields on…

  2. A Case Study of an Academia-Industry Partnership to Meet the Education and Training Needs in a Science, Technology, Engineering & Mathematics (STEM) Field

    ERIC Educational Resources Information Center

    Richardson, Joseph Carl

    2013-01-01

    The purpose of this case study is to provide a description of the characteristics of an academia-industry partnership that works together with industry to meet the education and training needs in a Science, Technology, Engineering, and Mathematics (STEM) field. After the launch of Sputnik in 1957, U.S. pursued efforts to compete in STEM fields on…

  3. Higher Skills. A Case Study of the Role of Further Education Colleges in Meeting the Training Needs of the Small Plant and Tool Hire Industry.

    ERIC Educational Resources Information Center

    Further Education Unit, London (England).

    A British project explored ways further education colleges could help meet training needs of small businesses, specifically the small plant and tool hire industry. The industry's leading organization, the Hire Association of Europe (HAE), provided a list of members; responsibility for making contact rested with the colleges. The most effective…

  4. Higher Skills. A Case Study of the Role of Further Education Colleges in Meeting the Training Needs of the Small Plant and Tool Hire Industry.

    ERIC Educational Resources Information Center

    Further Education Unit, London (England).

    A British project explored ways further education colleges could help meet training needs of small businesses, specifically the small plant and tool hire industry. The industry's leading organization, the Hire Association of Europe (HAE), provided a list of members; responsibility for making contact rested with the colleges. The most effective…

  5. Proceedings of the Anniversary Meeting (25th, Toronto, December 28-29, 1972). Industrial Relations Research Association Series. Index of IRRA Publications 1966-1972.

    ERIC Educational Resources Information Center

    Somers, Gerald G., Ed.

    Papers presented at the 25th meeting of the Industrial Relations Research Association (IRAA) covered issues that are central to industrial relations in North America. Papers and discussions dealt with these major issues: (1) Prices and Income Policy: Comparative Aspects, (2) Dispute Settlement in the Public Sector, (3) Manpower Policies in Canada…

  6. Biomedical ontologies: toward scientific debate.

    PubMed

    Maojo, V; Crespo, J; García-Remesal, M; de la Iglesia, D; Perez-Rey, D; Kulikowski, C

    2011-01-01

    Biomedical ontologies have been very successful in structuring knowledge for many different applications, receiving widespread praise for their utility and potential. Yet, the role of computational ontologies in scientific research, as opposed to knowledge management applications, has not been extensively discussed. We aim to stimulate further discussion on the advantages and challenges presented by biomedical ontologies from a scientific perspective. We review various aspects of biomedical ontologies going beyond their practical successes, and focus on some key scientific questions in two ways. First, we analyze and discuss current approaches to improve biomedical ontologies that are based largely on classical, Aristotelian ontological models of reality. Second, we raise various open questions about biomedical ontologies that require further research, analyzing in more detail those related to visual reasoning and spatial ontologies. We outline significant scientific issues that biomedical ontologies should consider, beyond current efforts of building practical consensus between them. For spatial ontologies, we suggest an approach for building "morphospatial" taxonomies, as an example that could stimulate research on fundamental open issues for biomedical ontologies. Analysis of a large number of problems with biomedical ontologies suggests that the field is very much open to alternative interpretations of current work, and in need of scientific debate and discussion that can lead to new ideas and research directions.

  7. Using a Foundational Ontology for Reengineering a Software Enterprise Ontology

    NASA Astrophysics Data System (ADS)

    Perini Barcellos, Monalessa; de Almeida Falbo, Ricardo

    The knowledge about software organizations is considerably relevant to software engineers. The use of a common vocabulary for representing the useful knowledge about software organizations involved in software projects is important for several reasons, such as to support knowledge reuse and to allow communication and interoperability between tools. Domain ontologies can be used to define a common vocabulary for sharing and reuse of knowledge about some domain. Foundational ontologies can be used for evaluating and re-designing domain ontologies, giving to these real-world semantics. This paper presents an evaluating of a Software Enterprise Ontology that was reengineered using the Unified Foundation Ontology (UFO) as basis.

  8. COnto-Diff: generation of complex evolution mappings for life science ontologies.

    PubMed

    Hartung, Michael; Groß, Anika; Rahm, Erhard

    2013-02-01

    Life science ontologies evolve frequently to meet new requirements or to better reflect the current domain knowledge. The development and adaptation of large and complex ontologies is typically performed collaboratively by several curators. To effectively manage the evolution of ontologies it is essential to identify the difference (Diff) between ontology versions. Such a Diff supports the synchronization of changes in collaborative curation, the adaptation of dependent data such as annotations, and ontology version management. We propose a novel approach COnto-Diff to determine an expressive and invertible diff evolution mapping between given versions of an ontology. Our approach first matches the ontology versions and determines an initial evolution mapping consisting of basic change operations (insert/update/delete). To semantically enrich the evolution mapping we adopt a rule-based approach to transform the basic change operations into a smaller set of more complex change operations, such as merge, split, or changes of entire subgraphs. The proposed algorithm is customizable in different ways to meet the requirements of diverse ontologies and application scenarios. We evaluate the proposed approach for large life science ontologies including the Gene Ontology and the NCI Thesaurus and compare it with PromptDiff. We further show how the Diff results can be used for version management and annotation migration in collaborative curation. Copyright © 2012 Elsevier Inc. All rights reserved.

  9. ONR Lecture of the Annual Meeting of the Society for Industrial Microbiology (1973).

    DTIC Science & Technology

    Oxford University , London, England. The address was entitled ’Reflections on the Penicillins and Cephalosporins’, and was presented on August 22, at the Annual 1973 SIM meeting banquet. Because of Dr. Abraham’s intimate knowledge and experiences, he was able to offer many insights into the discovery and developments of these valuable antibiotics. The lecture not only covered the antimicrobial and chemical natures of the penicillins and cephalosporins, but their medical importance as

  10. Multiple Ontologies in Action: Composite Annotations for Biosimulation Models

    PubMed Central

    Gennari, John H.; Neal, Maxwell L.; Galdzicki, Michal; Cook, Daniel L.

    2010-01-01

    There now exists a rich set of ontologies that provide detailed semantics for biological entities of interest. However, there is not (nor should there be) a single source ontology that provides all the necessary semantics for describing biological phenomena. In the domain of physiological biosimulation models, researchers use annotations to convey semantics, and many of these annotations require the use of multiple reference ontologies. Therefore, we have developed the idea of composite annotations that access multiple ontologies to capture the physics-based meaning of model variables. These composite annotations provide the semantic expressivity needed to disambiguate the often-complex features of biosimulation models, and can be used to assist with model merging and interoperability. In this paper, we demonstrate the utility of composite annotations for model merging by describing their use within SemGen, our semantics-based model composition software. More broadly, if orthogonal reference ontologies are to meet their full potential, users need tools and methods to connect and link these ontologies. Our composite annotations and the SemGen tool provide one mechanism for leveraging multiple reference ontologies. PMID:20601121

  11. Multiple ontologies in action: composite annotations for biosimulation models.

    PubMed

    Gennari, John H; Neal, Maxwell L; Galdzicki, Michal; Cook, Daniel L

    2011-02-01

    There now exists a rich set of ontologies that provide detailed semantics for biological entities of interest. However, there is not (nor should there be) a single source ontology that provides all the necessary semantics for describing biological phenomena. In the domain of physiological biosimulation models, researchers use annotations to convey semantics, and many of these annotations require the use of multiple reference ontologies. Therefore, we have developed the idea of composite annotations that access multiple ontologies to capture the physics-based meaning of model variables. These composite annotations provide the semantic expressivity needed to disambiguate the often-complex features of biosimulation models, and can be used to assist with model merging and interoperability. In this paper, we demonstrate the utility of composite annotations for model merging by describing their use within SemGen, our semantics-based model composition software. More broadly, if orthogonal reference ontologies are to meet their full potential, users need tools and methods to connect and link these ontologies. Our composite annotations and the SemGen tool provide one mechanism for leveraging multiple reference ontologies.

  12. Theory of ontology and land use ontology construction

    NASA Astrophysics Data System (ADS)

    Zhou, Guofeng; Liu, Yongxue; Chao, Junjie; Shen, Chenhua; Yang, Hui

    2007-06-01

    It mainly presents the problems of data share in land use database construction. How to accurately define geographic classification expression and how to quickly and accurately express the user demand are plaguing problems of information system developer. The introduction of ontology and relevant technologies address the problem with a brand new perspective and provide a strong theoretical and methodological support. From the relevant ontology theoretical study, this paper summarizes the essence of the concept of ontology; and explores the type, role, method, formalization expression and tools of ontology. On the basis of existing research, the paper brings forward 5-step method of ontology building and then uses this method to build ontology in land use database construction. It also puts forward the notion model of land use database based on ontology.

  13. Dahlbeck and Pure Ontology

    ERIC Educational Resources Information Center

    Mackenzie, Jim

    2016-01-01

    This article responds to Johan Dahlbeck's "Towards a pure ontology: Children's bodies and morality" ["Educational Philosophy and Theory," vol. 46 (1), 2014, pp. 8-23 (EJ1026561)]. His arguments from Nietzsche and Spinoza do not carry the weight he supposes, and the conclusions he draws from them about pedagogy would be…

  14. POSet Ontology Categorizer

    SciTech Connect

    Miniszewski, Sue M.

    2005-03-01

    POSet Ontology Categorizer (POSOC) V1.0 The POSet Ontology Categorizer (POSOC) software package provides tools for creating and mining of poset-structured ontologies, such as the Gene Ontology (GO). Given a list of weighted query items (ex.genes,proteins, and/or phrases) and one or more focus nodes, POSOC determines the ordered set of GO nodes that summarize the query, based on selections of a scoring function, pseudo-distance measure, specificity level, and cluster determination. Pseudo-distance measures provided are minimum chain length, maximum chain length, average of extreme chain lengths, and average of all chain lengths. A low specificity level, such as -1 or 0, results in a general set of clusters. Increasing the specificity results in more specific results in more specific and lighter clusters. POSOC cluster results can be compared agaist known results by calculations of precision, recall, and f-score for graph neighborhood relationships. This tool has been used in understanding the function of a set of genes, finding similar genes, and annotating new proteins. The POSOC software consists of a set of Java interfaces, classes, and programs that run on Linux or Windows platforms. It incorporates graph classes from OpenJGraph (openjgraph.sourceforge.net).

  15. Dahlbeck and Pure Ontology

    ERIC Educational Resources Information Center

    Mackenzie, Jim

    2016-01-01

    This article responds to Johan Dahlbeck's "Towards a pure ontology: Children's bodies and morality" ["Educational Philosophy and Theory," vol. 46 (1), 2014, pp. 8-23 (EJ1026561)]. His arguments from Nietzsche and Spinoza do not carry the weight he supposes, and the conclusions he draws from them about pedagogy would be…

  16. Ontology, Language, and Culture

    ERIC Educational Resources Information Center

    Hyde, Richard Bruce

    The purpose of this essay is to consider some of the practical implications of Martin Heideger's view that "Language is the house of Being," for the academic study of cultural transformation and intercultural communication. The paper describes the ontological basis of Heidegger's work, and the inquiry into Being, and contains sections on…

  17. Biomedicine: an ontological dissection.

    PubMed

    Baronov, David

    2008-01-01

    Though ubiquitous across the medical social sciences literature, the term "biomedicine" as an analytical concept remains remarkably slippery. It is argued here that this imprecision is due in part to the fact that biomedicine is comprised of three interrelated ontological spheres, each of which frames biomedicine as a distinct subject of investigation. This suggests that, depending upon one's ontological commitment, the meaning of biomedicine will shift. From an empirical perspective, biomedicine takes on the appearance of a scientific enterprise and is defined as a derivative category of Western science more generally. From an interpretive perspective, biomedicine represents a symbolic-cultural expression whose adherence to the principles of scientific objectivity conceals an ideological agenda. From a conceptual perspective, biomedicine represents an expression of social power that reflects structures of power and privilege within capitalist society. No one perspective exists in isolation and so the image of biomedicine from any one presents an incomplete understanding. It is the mutually-conditioning interrelations between these ontological spheres that account for biomedicine's ongoing development. Thus, the ontological dissection of biomedicine that follows, with particular emphasis on the period of its formal crystallization in the latter nineteenth and early twentieth century, is intended to deepen our understanding of biomedicine as an analytical concept across the medical social sciences literature.

  18. Ontology, Language, and Culture

    ERIC Educational Resources Information Center

    Hyde, Richard Bruce

    The purpose of this essay is to consider some of the practical implications of Martin Heideger's view that "Language is the house of Being," for the academic study of cultural transformation and intercultural communication. The paper describes the ontological basis of Heidegger's work, and the inquiry into Being, and contains sections on…

  19. Out of the Ivory Tower: Characteristics of Institutions Meeting the Research Needs of Industry.

    ERIC Educational Resources Information Center

    Tornquist, Kristi M.; Kallsen, Lincoln A.

    1994-01-01

    Citation analysis of 92 articles published about the aircraft and electronic equipment industries investigated the higher education institutions with which cited authors were associated. Results indicated research expenditures, faculty quality and salary, and land-grant status were predictors of research use; urban location and presence of…

  20. "And Never the Twain Shall Meet": Investigating the Hospitality Industry-Education Relationship in Cyprus

    ERIC Educational Resources Information Center

    Zopiatis, Anastasios; Constanti, Panikkos

    2007-01-01

    Purpose: The primary purpose is to investigate the relationship between hospitality education and the industry of Cyprus as it relates to students' internship practices. The mismatch between the educational experience delivered to hospitality students and the "real world" practice they experience is investigated.…

  1. Meeting the Challenge: Between Depopulation and New Industrialization. Innovations in VET in Eastern Germany

    ERIC Educational Resources Information Center

    Barabasch, Antje

    2012-01-01

    Despite the heavy investments in the economic development of East German industry, the region still faces immanent structural challenges that affect the provision of vocational education and training (VET), in particular apprenticeships, and the availability of a well skilled workforce. In this article the situation of the economy as well as new…

  2. "And Never the Twain Shall Meet": Investigating the Hospitality Industry-Education Relationship in Cyprus

    ERIC Educational Resources Information Center

    Zopiatis, Anastasios; Constanti, Panikkos

    2007-01-01

    Purpose: The primary purpose is to investigate the relationship between hospitality education and the industry of Cyprus as it relates to students' internship practices. The mismatch between the educational experience delivered to hospitality students and the "real world" practice they experience is investigated.…

  3. Meeting the Personnel Needs of the Health Care Industry through Vocational Education Programs.

    ERIC Educational Resources Information Center

    Hudis, Paula M.; And Others

    A 2-year study of the health care industry in the San Francisco Bay Area identified avenues for reducing health care labor shortages. Focus was on classifications where demand was expected to grow and where current demand exceeds supply: nursing, medical imaging, medical therapy, and medical records management. A modified job analysis technique…

  4. 75 FR 59657 - Energy Efficiency Program for Certain Commercial and Industrial Equipment: Public Meeting and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-28

    ... Electric Motors AGENCY: Office of Energy Efficiency and Renewable Energy, Department of Energy. ACTION... commercial and industrial electric motors under section 342(b) of the Energy Policy and Conservation Act..._standards/commercial/electric_motors.html . For information on obtaining a copy of the framework...

  5. Meeting the Challenge: Between Depopulation and New Industrialization. Innovations in VET in Eastern Germany

    ERIC Educational Resources Information Center

    Barabasch, Antje

    2012-01-01

    Despite the heavy investments in the economic development of East German industry, the region still faces immanent structural challenges that affect the provision of vocational education and training (VET), in particular apprenticeships, and the availability of a well skilled workforce. In this article the situation of the economy as well as new…

  6. Universities and Industry: Does the Lambert Code of Governance Meet the Requirements of Good Governance?

    ERIC Educational Resources Information Center

    Buckland, Roger

    2004-01-01

    The Lambert Model Code of Governance proposes to institutionalise the dominance of governors from commercial and industrial organisations as core members of compact and effective boards controlling UK universities. It is the latest expression of a fashion for viewing university governance as an overly-simple example of an obsolete system, where…

  7. Universities and Industry: Does the Lambert Code of Governance Meet the Requirements of Good Governance?

    ERIC Educational Resources Information Center

    Buckland, Roger

    2004-01-01

    The Lambert Model Code of Governance proposes to institutionalise the dominance of governors from commercial and industrial organisations as core members of compact and effective boards controlling UK universities. It is the latest expression of a fashion for viewing university governance as an overly-simple example of an obsolete system, where…

  8. CSEO – the Cigarette Smoke Exposure Ontology

    PubMed Central

    2014-01-01

    Background In the past years, significant progress has been made to develop and use experimental settings for extensive data collection on tobacco smoke exposure and tobacco smoke exposure-associated diseases. Due to the growing number of such data, there is a need for domain-specific standard ontologies to facilitate the integration of tobacco exposure data. Results The CSEO (version 1.0) is composed of 20091 concepts. The ontology in its current form is able to capture a wide range of cigarette smoke exposure concepts within the knowledge domain of exposure science with a reasonable sensitivity and specificity. Moreover, it showed a promising performance when used to answer domain expert questions. The CSEO complies with standard upper-level ontologies and is freely accessible to the scientific community through a dedicated wiki at https://publicwiki-01.fraunhofer.de/CSEO-Wiki/index.php/Main_Page. Conclusions The CSEO has potential to become a widely used standard within the academic and industrial community. Mainly because of the emerging need of systems toxicology to controlled vocabularies and also the lack of suitable ontologies for this domain, the CSEO prepares the ground for integrative systems-based research in the exposure science. PMID:25093069

  9. Benchmarking Ontologies: Bigger or Better?

    PubMed Central

    Yao, Lixia; Divoli, Anna; Mayzus, Ilya; Evans, James A.; Rzhetsky, Andrey

    2011-01-01

    A scientific ontology is a formal representation of knowledge within a domain, typically including central concepts, their properties, and relations. With the rise of computers and high-throughput data collection, ontologies have become essential to data mining and sharing across communities in the biomedical sciences. Powerful approaches exist for testing the internal consistency of an ontology, but not for assessing the fidelity of its domain representation. We introduce a family of metrics that describe the breadth and depth with which an ontology represents its knowledge domain. We then test these metrics using (1) four of the most common medical ontologies with respect to a corpus of medical documents and (2) seven of the most popular English thesauri with respect to three corpora that sample language from medicine, news, and novels. Here we show that our approach captures the quality of ontological representation and guides efforts to narrow the breach between ontology and collective discourse within a domain. Our results also demonstrate key features of medical ontologies, English thesauri, and discourse from different domains. Medical ontologies have a small intersection, as do English thesauri. Moreover, dialects characteristic of distinct domains vary strikingly as many of the same words are used quite differently in medicine, news, and novels. As ontologies are intended to mirror the state of knowledge, our methods to tighten the fit between ontology and domain will increase their relevance for new areas of biomedical science and improve the accuracy and power of inferences computed across them. PMID:21249231

  10. Yeast culture collections of the world: meeting the needs of industrial researchers.

    PubMed

    Boundy-Mills, Kyria

    2012-05-01

    The importance of selecting optimal yeast strains for research or industrial applications is often underestimated. For example, utilizing a strain background that already provides the desired stress tolerance or nutrient utilization profile can eliminate costly strain optimization. Yeast culture collections can provide not only the yeast strains but also data and curator expertise to help narrow the search for the optimal strain. While some collections are known for a broad range of cultures and services, other "boutique" collections can provide a broader selection of strains of certain categories, a surprising amount of characterization data, and assistance in selecting strains. This article provides information on dozens of yeast collections of the world, profiles of selected yeast culture collections, and the services that they provide: e.g., strain preservation for patent or safe deposit purposes, species identification service, training workshops, and consulting on yeast identification and physiology. Utilization of these services can save industrial researchers valuable time and resources.

  11. Estonia`s oil shale industry - meeting environmental standards of the future

    SciTech Connect

    Tanner, T.; Bird, G.; Wallace, D.

    1995-12-31

    Oil shale is Estonia`s greatest mineral resource. In the 1930s, it was used as a source of gasoline and fuel oil, but now it is mined primarily for thermal generation of electricity. With the loss of its primary market for electricity in the early 1990s and in the absence of another domestic source of fuel Estonia once again is considering the use of a larger proportion of its shale for oil production. However, existing retorting operations in Estonia may not attain western European environmental standards and desired conversion efficiencies. As a reference point, the Estonian authorities have documented existing environmental impacts. It is evaluating technologies to reduce the impacts and is setting a direction for the industry that will serve domestic needs. This paper provides a description of the existing oil shale industry in Estonia and options for the future.

  12. Sustainable development of the cement industry and blended cements to meet ecological challenges.

    PubMed

    Sobolev, Konstantin

    2003-05-05

    The world production of cement has greatly increased in the past 10 years. This trend is the most significant factor affecting technological development and the updating of manufacturing facilities in the cement industry. Existing technology for the production of cement clinker is ecologically damaging; it consumes much energy and natural resources and also emits pollutants. A new approach to the production of blended or high-volume mineral additive (HVMA) cement helps to improve its ecological compatibility. HVMA cement technology is based on the intergrinding of portland cement clinker, gypsum, mineral additives, and a special complex admixture. This new method increases the compressive strength of ordinary cement, improves durability of the cement-based materials, and--at the same time--uses inexpensive natural mineral additives or industrial by-products. This improvement leads to a reduction of energy consumption per unit of the cement produced. Higher strength, better durability, reduction of pollution at the clinker production stage, and decrease of landfill area occupied by industrial by-products, all provide ecological advantages for HVMA cement.

  13. The Application of Ontological Methods toward Coastal Restoration

    NASA Astrophysics Data System (ADS)

    Ramachandran, R.; Movva, S.; Hardin, D.

    2007-12-01

    At the fall 2006 AGU meeting the Information Technology and Systems Center at the University of Alabama in Huntsville debuted a tool for ontology based search and resource aggregation called Noesis. Since that time Noesis, with a new ontology for seagrass habitats in the Gulf of Mexico, has been utilized to support evaluations of potential seagrass restoration sites. The seagrass ontology was generated from a standard stressor conceptual model description for five species of seagrass common to the Northern Gulf of Mexico. Coupling the seagrass ontology with the existing atmospheric science ontology allowed scientists to locate and retrieve substantial information about the seagrass habitat as well as stressors that impact the habitat induced by climate change and short term atmospheric phenomena. A domain specific catalog of seagrass resources was constructed and an application ontology developed that mapped the keywords of the catalog to the combined (atmospheric and seagrass) ontologies of Noesis. Noesis uses domain ontologies to help the user scope the search queries 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. As a resource aggregator Noesis categorizes search results from different online resources such as education materials, publications, datasets, web search engines that might be of interest to the user. This presentation will give an overview of Noesis and describe how it has been applied to coastal restoration investigations.

  14. Deep water challenges: Oil industry moves off continental shelf; meets new oceanographic data-gathering challenges

    SciTech Connect

    Mardell, G.; Flynn, J.

    1995-08-01

    While offshore oil industry activities move from the continental shelves to the continental slope and even onto the abyssal plains of the deep oceans, new oceanographic problems arise - from riser-deforming internal waves to ocean-floor avalanches. As well as soliton-induced currents, other subsurface flows need to be monitored to provide data in support of wide ranging underwater activities, including exploration drilling, deployment of subsea systems, diver and ROV operations, and pipe design, lay and inspection. This article examines some of the work carried out over the past year or so with data-gathering deep water moorings.

  15. Agility Meets Systems Engineering: A Catalogue of Success Factors from Industry Practice

    NASA Astrophysics Data System (ADS)

    Stelzmann, Ernst; Kreiner, Christian; Spork, Gunther; Messnarz, Richard; Koenig, Frank

    Agile software development methods are widely accepted and valued in software-dominated industries. In more complex setups like multidisciplinary system development the adoption of an agile development paradigm is much less straightforward. Bigger teams, longer development cycles, process and product standard compliance and products lacking flexibility make an agile behaviour more difficult to achieve. Focusing on the fundamental underlying problem of dealing with ever ongoing change, this paper presents an agile Systems Engineering approach as a potential solution. Therefore a generic Systems Engineering action model was upgraded respecting agile principles and adapted according to practical needs discovered in an empirical study. This study was conducted among the partners of the S2QI agile workgroup made up from experts of automotive, logistics and electronics industries. Additionally to an agile Systems Engineering action model, a list of 15 practical success factors that should be considered when using an agile Systems Engineering approach is one of the main outcomes of this survey. It was also found that an agile behaviour in Systems Engineering could be supported in many different areas within companies. These areas are listed and it is also shown how the agile action model and the agile success factors are related to them.

  16. Mini Ontologies and Metadata Expressions

    NASA Astrophysics Data System (ADS)

    King, T. A.; Ritschel, B.

    2013-12-01

    Ontologies come in many forms and with a wide range of detail and specificity. Of particular interest in the realm of science are classification schemes or taxonomies. Within general science domains there may be multiple taxonomies. Each taxonomy can be represented as a very narrowly defined domain ontology. We call such ontologies "mini ontologies". Since mini ontologies are very modular and portable they can be used in a variety of context. To illustrate the generation and use of mini ontologies we show how enumerations which may part of an existing data model, like SPASE *Region enumerations, can be modeled as a mini ontology. We show how such ontologies can be transformed to generate metadata expressions which can be readily used in different operational context, for example in the tag of a web page. We define a set of context specific transforms for commonly used metadata expressions which can preserve the semantic information in a mini ontology and describe how such expressions are reversible. The sharing and adoption of mini ontologies can significantly enhance the discovery and use of related data resources within a community. We look at several cases where this is true with a special focus on the international ESPAS project.

  17. Optical techniques for industrial inspection; Proceedings of the Meeting, Quebec, Canada, June 4-6, 1986

    SciTech Connect

    Cielo, P.G.

    1986-01-01

    Papers on optical inspection in industry; hot-slab surface inspection by the laser scanning method; surface inspection based on stochastic modeling; a semiconductor processing technique based on Faraday rotation measurements using a CO/sub 2/ laser; an intelligent vision controller for circuits card lead inspection; and noncontacting optical measurement and inspection systems are presented. Topics discussed include optical sensing techniques for three-dimensional machine vision; the performance analysis of a three-dimensional sensor based on time-of-flight measurements; triangulation with large dynamical range; and recognition for three-dimensional surface shape using multiple distance features. Consideration is given to Raman spectroscopy applied to polymer analysis; an optical approach to the measurement of the lignin content of kraft pulps and of delignification in kraft pulping; diagnostics from imaging inside gas turbine combustors; and environmental-noise analysis in active-vision systems for adaptive welding.

  18. A Cognitive Support Framework for Ontology Mapping

    NASA Astrophysics Data System (ADS)

    Falconer, Sean M.; Storey, Margaret-Anne

    Ontology mapping is the key to data interoperability in the semantic web. This problem has received a lot of research attention, however, the research emphasis has been mostly devoted to automating the mapping process, even though the creation of mappings often involve the user. As industry interest in semantic web technologies grows and the number of widely adopted semantic web applications increases, we must begin to support the user. In this paper, we combine data gathered from background literature, theories of cognitive support and decision making, and an observational case study to propose a theoretical framework for cognitive support in ontology mapping tools. We also describe a tool called CogZ that is based on this framework.

  19. Ontology Mappings to Improve Learning Resource Search

    ERIC Educational Resources Information Center

    Gasevic, Dragan; Hatala, Marek

    2006-01-01

    This paper proposes an ontology mapping-based framework that allows searching for learning resources using multiple ontologies. The present applications of ontologies in e-learning use various ontologies (eg, domain, curriculum, context), but they do not give a solution on how to interoperate e-learning systems based on different ontologies. The…

  20. An Ontology for Software Engineering Education

    ERIC Educational Resources Information Center

    Ling, Thong Chee; Jusoh, Yusmadi Yah; Adbullah, Rusli; Alwi, Nor Hayati

    2013-01-01

    Software agents communicate using ontology. It is important to build an ontology for specific domain such as Software Engineering Education. Building an ontology from scratch is not only hard, but also incur much time and cost. This study aims to propose an ontology through adaptation of the existing ontology which is originally built based on a…

  1. A Political Review of International Literacy Meetings in Industrialized Countries, 1981-1994

    NASA Astrophysics Data System (ADS)

    Hautecoeur, Jean-Paul

    1997-03-01

    The author presents a historical survey of the official discourse on functional literacy in the industrialized countries on the basis of the reports of 20 seminars and international conferences linked to UNESCO. The article has two objectives: (1) to document and interpret globally the political evolution of the literacy movement in the north - in fact limited to western Europe and north America; (2) within the context of the Fifth International Conference on Adult Education, to pose the question: to what extent are the same issues involved throughout the world under the rubric of literacy? The author goes on to underline the broad geopolitical tendencies of the literacy movement, sketching its symbolic features and the tensions and areas of consensus within it. He traces the evolution of its dominant symbology and the ideological positions of its key figures. He concludes with a typology of the principal political tendencies of this movement, while making it clear that the real objectives of fighting poverty and exclusion are pursued outside the literacy movement and within the "minor literacies" of everyday life.

  2. Darwin and Fisher meet at biotech: on the potential of computational molecular evolution in industry.

    PubMed

    Anisimova, Maria

    2015-05-01

    Today computational molecular evolution is a vibrant research field that benefits from the availability of large and complex new generation sequencing data - ranging from full genomes and proteomes to microbiomes, metabolomes and epigenomes. The grounds for this progress were established long before the discovery of the DNA structure. Specifically, Darwin's theory of evolution by means of natural selection not only remains relevant today, but also provides a solid basis for computational research with a variety of applications. But a long-term progress in biology was ensured by the mathematical sciences, as exemplified by Sir R. Fisher in early 20th century. Now this is true more than ever: The data size and its complexity require biologists to work in close collaboration with experts in computational sciences, modeling and statistics. Natural selection drives function conservation and adaptation to emerging pathogens or new environments; selection plays key role in immune and resistance systems. Here I focus on computational methods for evaluating selection in molecular sequences, and argue that they have a high potential for applications. Pharma and biotech industries can successfully use this potential, and should take the initiative to enhance their research and development with state of the art bioinformatics approaches. This review provides a quick guide to the current computational approaches that apply the evolutionary principles of natural selection to real life problems - from drug target validation, vaccine design and protein engineering to applications in agriculture, ecology and conservation.

  3. The role of the pharmaceutical industry in meeting the public health threat of antibacterial resistance.

    PubMed

    Bergström, Richard

    2011-04-01

    The established market model for pharmaceutical products, as for most other products, is heavily dependent on sales volumes. Thus, it is a primary interest of the producer to sell large quantities. This may be questionable for medicinal products and probably most questionable for antibacterial remedies. For these products, treatment indications are very complex and encompass both potential patient benefits, possible adverse effects in the actual patient and, which is unique for this therapeutic class, consideration about what effects the drug use will have on the future therapeutic value of the drug. This is because bacteria are sure to develop resistance. The European Federation of Pharmaceutical Industries and Associations (EFPIA) agrees with the general description of the antibacterial resistance problem and wants to participate in measures to counteract antibacterial resistance. Stakeholders should forge an alliance that will address the need for and prudent use of new antibiotics. A variety of incentives probably have to be applied, but having all in common that the financial return has to be separated from the use of the product. Copyright © 2011. Published by Elsevier Ltd.

  4. Meeting targets in pressure ulcer prevention in the community by collaborating with industry.

    PubMed

    Woodhouse, Lucy; Graham, Katriona

    2014-12-01

    This article describes how a community health-care trust achieved a reduction in acquired pressure ulcers. Commissioning for Quality and Innovation 2014/15 guidance states that provider organisations should work with their partners across their local health and social care system to address the causes of pressure ulcers and reduce their prevalence, regardless of source. Gloucestershire Care Service NHS Trust was challenged to reduce the number of acquired pressure ulcers by 17% in 2013-14. The challenge for the three members of the tissue viability team was to train the qualified and unqualified staff within seven community hospitals and district nurse teams from 85 GP practices, covering a population of 600 000 within 4 months. Staff shortages and a lack of venues available meant that an adaptive educational approach was necessary. A dedicated programme of educational support from both the tissue viability nurse and an industry partner enabled the delivery of a wide range of educational materials to staff across the county. As a result of this partnership working, there was a reduction of category 3 and 4 pressure ulcers, and an increased awareness of the initial stages of pressure ulcer development demonstrated by an increase in grade 2 pressure ulcers.

  5. The ontology of biological taxa

    PubMed Central

    Schulz, Stefan; Stenzhorn, Holger; Boeker, Martin

    2008-01-01

    Motivation: The classification of biological entities in terms of species and taxa is an important endeavor in biology. Although a large amount of statements encoded in current biomedical ontologies is taxon-dependent there is no obvious or standard way for introducing taxon information into an integrative ontology architecture, supposedly because of ongoing controversies about the ontological nature of species and taxa. Results: In this article, we discuss different approaches on how to represent biological taxa using existing standards for biomedical ontologies such as the description logic OWL DL and the Open Biomedical Ontologies Relation Ontology. We demonstrate how hidden ambiguities of the species concept can be dealt with and existing controversies can be overcome. A novel approach is to envisage taxon information as qualities that inhere in biological organisms, organism parts and populations. Availability: The presented methodology has been implemented in the domain top-level ontology BioTop, openly accessible at http://purl.org/biotop. BioTop may help to improve the logical and ontological rigor of biomedical ontologies and further provides a clear architectural principle to deal with biological taxa information. Contact: stschulz@uni-freiburg.de PMID:18586729

  6. The Ontology for Biomedical Investigations.

    PubMed

    Bandrowski, Anita; Brinkman, Ryan; Brochhausen, Mathias; Brush, Matthew H; Bug, Bill; Chibucos, Marcus C; Clancy, Kevin; Courtot, Mélanie; Derom, Dirk; Dumontier, Michel; Fan, Liju; Fostel, Jennifer; Fragoso, Gilberto; Gibson, Frank; Gonzalez-Beltran, Alejandra; Haendel, Melissa A; He, Yongqun; Heiskanen, Mervi; Hernandez-Boussard, Tina; Jensen, Mark; Lin, Yu; Lister, Allyson L; Lord, Phillip; Malone, James; Manduchi, Elisabetta; McGee, Monnie; Morrison, Norman; Overton, James A; Parkinson, Helen; Peters, Bjoern; Rocca-Serra, Philippe; Ruttenberg, Alan; Sansone, Susanna-Assunta; Scheuermann, Richard H; Schober, Daniel; Smith, Barry; Soldatova, Larisa N; Stoeckert, Christian J; Taylor, Chris F; Torniai, Carlo; Turner, Jessica A; Vita, Randi; Whetzel, Patricia L; Zheng, Jie

    2016-01-01

    The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI) and Phenotype Attribute and Trait Ontology (PATO) without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology) and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT)). The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource (http://obi-ontology.org) providing details on the people, policies, and issues being addressed

  7. The Ontology for Biomedical Investigations

    PubMed Central

    Bandrowski, Anita; Brinkman, Ryan; Brochhausen, Mathias; Brush, Matthew H.; Chibucos, Marcus C.; Clancy, Kevin; Courtot, Mélanie; Derom, Dirk; Dumontier, Michel; Fan, Liju; Fostel, Jennifer; Fragoso, Gilberto; Gibson, Frank; Gonzalez-Beltran, Alejandra; Haendel, Melissa A.; He, Yongqun; Heiskanen, Mervi; Hernandez-Boussard, Tina; Jensen, Mark; Lin, Yu; Lister, Allyson L.; Lord, Phillip; Malone, James; Manduchi, Elisabetta; McGee, Monnie; Morrison, Norman; Overton, James A.; Parkinson, Helen; Peters, Bjoern; Rocca-Serra, Philippe; Ruttenberg, Alan; Sansone, Susanna-Assunta; Scheuermann, Richard H.; Schober, Daniel; Smith, Barry; Soldatova, Larisa N.; Stoeckert, Christian J.; Taylor, Chris F.; Torniai, Carlo; Turner, Jessica A.; Vita, Randi; Whetzel, Patricia L.; Zheng, Jie

    2016-01-01

    The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI) and Phenotype Attribute and Trait Ontology (PATO) without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology) and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT)). The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource (http://obi-ontology.org) providing details on the people, policies, and issues being addressed

  8. Applications of Genome-based Science in Shaping Citrus Industries of the World (JGI Seventh Annual User Meeting, 2012: Genomics of Energy and Environment)

    ScienceCinema

    Gmitter Jr, Fred [University of Florida

    2016-07-12

    Fred Gmitter from the University of Florida on "Applications of Genome-based Science in Shaping the Future of the World's Citrus Industries" at the 7th Annual Genomics of Energy & Environment Meeting on March 21, 2012 in Walnut Creek, California.

  9. Applications of Genome-based Science in Shaping Citrus Industries of the World (JGI Seventh Annual User Meeting, 2012: Genomics of Energy and Environment)

    SciTech Connect

    Gmitter Jr, Fred

    2012-03-21

    Fred Gmitter from the University of Florida on "Applications of Genome-based Science in Shaping the Future of the World's Citrus Industries" at the 7th Annual Genomics of Energy & Environment Meeting on March 21, 2012 in Walnut Creek, California.

  10. Ontology through a Mindfulness Process

    ERIC Educational Resources Information Center

    Bearance, Deborah; Holmes, Kimberley

    2015-01-01

    Traditionally, when ontology is taught in a graduate studies course on social research, there is a tendency for this concept to be examined through the process of lectures and readings. Such an approach often leaves graduate students to grapple with a personal embodiment of this concept and to comprehend how ontology can ground their research.…

  11. An Ontological Approach to Education.

    ERIC Educational Resources Information Center

    Hyde, Bruce

    Distinguishing the contextual realm addressed by ontological education as a valid area for inquiry by those who think about language and communication, this paper discusses an approach to education that is ontological in nature, in that its focus is the "being" of human beings rather than their knowledge. The paper explores several ideas…

  12. Ontology through a Mindfulness Process

    ERIC Educational Resources Information Center

    Bearance, Deborah; Holmes, Kimberley

    2015-01-01

    Traditionally, when ontology is taught in a graduate studies course on social research, there is a tendency for this concept to be examined through the process of lectures and readings. Such an approach often leaves graduate students to grapple with a personal embodiment of this concept and to comprehend how ontology can ground their research.…

  13. Ontological turns, turnoffs and roundabouts.

    PubMed

    Sismondo, Sergio

    2015-06-01

    There has been much talk of an 'ontological turn' in Science and Technology Studies. This commentary explores some recent work on multiple and historical ontologies, especially articles published in this journal, against a background of constructivism. It can be tempting to read an ontological turn as based and promoting a version of perspectivism, but that is inadequate to the scholarly work and opens multiple ontologies to serious criticisms. Instead, we should read our ontological turn or turns as being about multiplicities of practices and the ways in which these practices shape the material world. Ontologies arise out of practices through which people engage with things; the practices are fundamental and the ontologies derivative. The purchase in this move comes from the elucidating power of the verbs that scholars use to analyze relations of practices and objects--which turn out to be specific cases of constructivist verbs. The difference between this ontological turn and constructivist work in Science and Technology Studies appears to be a matter of emphases found useful for different purposes.

  14. Building Ontologies in DAML + OIL

    PubMed Central

    Wroe, Chris; Bechhofer, Sean; Lord, Phillip; Rector, Alan; Goble, Carole

    2003-01-01

    In this article we describe an approach to representing and building ontologies advocated by the Bioinformatics and Medical Informatics groups at the University of Manchester. The hand-crafting of ontologies offers an easy and rapid avenue to delivering ontologies. Experience has shown that such approaches are unsustainable. Description logic approaches have been shown to offer computational support for building sound, complete and logically consistent ontologies. A new knowledge representation language, DAML + OIL, offers a new standard that is able to support many styles of ontology, from hand-crafted to full logic-based descriptions with reasoning support. We describe this language, the OilEd editing tool, reasoning support and a strategy for the language’s use. We finish with a current example, in the Gene Ontology Next Generation (GONG) project, that uses DAML + OIL as the basis for moving the Gene Ontology from its current hand-crafted, form to one that uses logical descriptions of a concept’s properties to deliver a more complete version of the ontology. PMID:18629114

  15. Developing Standard Ontological Behavior Representations to Support Composability

    DTIC Science & Technology

    2004-12-01

    technologies for representing domains through formalized ontologies are evolving. Sir Tim Bemers -Lee, in 1999, set forth his Semantic Web vision (Berners...Software Development. Proceedings of the Interservice/ Industry Training, Simulation and Education Conference (IIITSEC) 2002, Orlando, FL. Bemers -Lee

  16. The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability.

    PubMed

    Diehl, Alexander D; Meehan, Terrence F; Bradford, Yvonne M; Brush, Matthew H; Dahdul, Wasila M; Dougall, David S; He, Yongqun; Osumi-Sutherland, David; Ruttenberg, Alan; Sarntivijai, Sirarat; Van Slyke, Ceri E; Vasilevsky, Nicole A; Haendel, Melissa A; Blake, Judith A; Mungall, Christopher J

    2016-07-04

    The Cell Ontology (CL) is an OBO Foundry candidate ontology covering the domain of canonical, natural biological cell types. Since its inception in 2005, the CL has undergone multiple rounds of revision and expansion, most notably in its representation of hematopoietic cells. For in vivo cells, the CL focuses on vertebrates but provides general classes that can be used for other metazoans, which can be subtyped in species-specific ontologies. Recent work on the CL has focused on extending the representation of various cell types, and developing new modules in the CL itself, and in related ontologies in coordination with the CL. For example, the Kidney and Urinary Pathway Ontology was used as a template to populate the CL with additional cell types. In addition, subtypes of the class 'cell in vitro' have received improved definitions and labels to provide for modularity with the representation of cells in the Cell Line Ontology and Reagent Ontology. Recent changes in the ontology development methodology for CL include a switch from OBO to OWL for the primary encoding of the ontology, and an increasing reliance on logical definitions for improved reasoning. The CL is now mandated as a metadata standard for large functional genomics and transcriptomics projects, and is used extensively for annotation, querying, and analyses of cell type specific data in sequencing consortia such as FANTOM5 and ENCODE, as well as for the NIAID ImmPort database and the Cell Image Library. The CL is also a vital component used in the modular construction of other biomedical ontologies-for example, the Gene Ontology and the cross-species anatomy ontology, Uberon, use CL to support the consistent representation of cell types across different levels of anatomical granularity, such as tissues and organs. The ongoing improvements to the CL make it a valuable resource to both the OBO Foundry community and the wider scientific community, and we continue to experience increased interest in the

  17. The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability

    SciTech Connect

    Diehl, Alexander D.; Meehan, Terrence F.; Bradford, Yvonne M.; Brush, Matthew H.; Dahdul, Wasila M.; Dougall, David S.; He, Yongqun; Osumi-Sutherland, David; Ruttenberg, Alan; Sarntivijai, Sirarat; Van Slyke, Ceri E.; Vasilevsky, Nicole A.; Haendel, Melissa A.; Blake, Judith A.; Mungall, Christopher J.

    2016-07-04

    Background: The Cell Ontology (CL) is an OBO Foundry candidate ontology covering the domain of canonical, natural biological cell types. Since its inception in 2005, the CL has undergone multiple rounds of revision and expansion, most notably in its representation of hematopoietic cells. For in vivo cells, the CL focuses on vertebrates but provides general classes that can be used for other metazoans, which can be subtyped in species-specific ontologies. Construction and content: Recent work on the CL has focused on extending the representation of various cell types, and developing new modules in the CL itself, and in related ontologies in coordination with the CL. For example, the Kidney and Urinary Pathway Ontology was used as a template to populate the CL with additional cell types. In addition, subtypes of the class 'cell in vitro' have received improved definitions and labels to provide for modularity with the representation of cells in the Cell Line Ontology and Reagent Ontology. Recent changes in the ontology development methodology for CL include a switch from OBO to OWL for the primary encoding of the ontology, and an increasing reliance on logical definitions for improved reasoning. Utility and discussion: The CL is now mandated as a metadata standard for large functional genomics and transcriptomics projects, and is used extensively for annotation, querying, and analyses of cell type specific data in sequencing consortia such as FANTOM5 and ENCODE, as well as for the NIAID ImmPort database and the Cell Image Library. The CL is also a vital component used in the modular construction of other biomedical ontologies-for example, the Gene Ontology and the cross-species anatomy ontology, Uberon, use CL to support the consistent representation of cell types across different levels of anatomical granularity, such as tissues and organs. Conclusions: The ongoing improvements to the CL make it a valuable resource to both the OBO Foundry community and the wider

  18. Developing a semantically rich ontology for the biobank-administration domain

    PubMed Central

    2013-01-01

    with perfect accuracy. In addition, we began development of a mapping from the ontology to pre-existing biobank data structures commonly used in the U.S. Conclusions In conclusion, we created OMIABIS, an ontology of biobank administration. We found that basing its development on pre-existing resources to meet the BBMRI use cases resulted in a biobanking ontology that is re-useable in environments other than BBMRI. Our ontology retrieved all true positives and no false positives when queried according to the competency questions we derived from the BBMRI use cases. Mapping OMIABIS to a data structure used for biospecimen collections in a medical center in Little Rock, AR showed adequate coverage of our ontology. PMID:24103726

  19. Developing a semantically rich ontology for the biobank-administration domain.

    PubMed

    Brochhausen, Mathias; Fransson, Martin N; Kanaskar, Nitin V; Eriksson, Mikael; Merino-Martinez, Roxana; Hall, Roger A; Norlin, Loreana; Kjellqvist, Sanela; Hortlund, Maria; Topaloglu, Umit; Hogan, William R; Litton, Jan-Eric

    2013-10-08

    accuracy. In addition, we began development of a mapping from the ontology to pre-existing biobank data structures commonly used in the U.S. In conclusion, we created OMIABIS, an ontology of biobank administration. We found that basing its development on pre-existing resources to meet the BBMRI use cases resulted in a biobanking ontology that is re-useable in environments other than BBMRI. Our ontology retrieved all true positives and no false positives when queried according to the competency questions we derived from the BBMRI use cases. Mapping OMIABIS to a data structure used for biospecimen collections in a medical center in Little Rock, AR showed adequate coverage of our ontology.

  20. Industry

    SciTech Connect

    Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

    2007-12-01

    This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of

  1. Gene Ontology Consortium: going forward.

    PubMed

    2015-01-01

    The Gene Ontology (GO; http://www.geneontology.org) is a community-based bioinformatics resource that supplies information about gene product function using ontologies to represent biological knowledge. Here we describe improvements and expansions to several branches of the ontology, as well as updates that have allowed us to more efficiently disseminate the GO and capture feedback from the research community. The Gene Ontology Consortium (GOC) has expanded areas of the ontology such as cilia-related terms, cell-cycle terms and multicellular organism processes. We have also implemented new tools for generating ontology terms based on a set of logical rules making use of templates, and we have made efforts to increase our use of logical definitions. The GOC has a new and improved web site summarizing new developments and documentation, serving as a portal to GO data. Users can perform GO enrichment analysis, and search the GO for terms, annotations to gene products, and associated metadata across multiple species using the all-new AmiGO 2 browser. We encourage and welcome the input of the research community in all biological areas in our continued effort to improve the Gene Ontology. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

  2. Gene Ontology Consortium: going forward

    PubMed Central

    2015-01-01

    The Gene Ontology (GO; http://www.geneontology.org) is a community-based bioinformatics resource that supplies information about gene product function using ontologies to represent biological knowledge. Here we describe improvements and expansions to several branches of the ontology, as well as updates that have allowed us to more efficiently disseminate the GO and capture feedback from the research community. The Gene Ontology Consortium (GOC) has expanded areas of the ontology such as cilia-related terms, cell-cycle terms and multicellular organism processes. We have also implemented new tools for generating ontology terms based on a set of logical rules making use of templates, and we have made efforts to increase our use of logical definitions. The GOC has a new and improved web site summarizing new developments and documentation, serving as a portal to GO data. Users can perform GO enrichment analysis, and search the GO for terms, annotations to gene products, and associated metadata across multiple species using the all-new AmiGO 2 browser. We encourage and welcome the input of the research community in all biological areas in our continued effort to improve the Gene Ontology. PMID:25428369

  3. Cosmology and Ontology

    NASA Astrophysics Data System (ADS)

    Grujic, P. V.

    2008-10-01

    Cosmos poses unique problems to its investigations, both from the epistemological and ontological aspects. We analyze modern cosmology as science of the totality of the material reality, with emphasis on the physical content of the principal entities involved in describing the Universe as we perceive. In particular we examine the concept of creation and anihilation and argue that these notions, if relevant, are devoid of meaningful content. If applicable, the notion of evolution refers to transition from physical field entities towards inert matter components. We discuss the meaning of the existentional quantificator and show that the cosmology is essentially a historical science. Finally, we consider an interplay between the epistemological and phenomenological aspects, arguing that in cosmology it is the former one may rely on.

  4. OBIB-a novel ontology for biobanking.

    PubMed

    Brochhausen, Mathias; Zheng, Jie; Birtwell, David; Williams, Heather; Masci, Anna Maria; Ellis, Helena Judge; Stoeckert, Christian J

    2016-01-01

    Biobanking necessitates extensive integration of data to allow data analysis and specimen sharing. Ontologies have been demonstrated to be a promising approach in fostering better semantic integration of biobank-related data. Hitherto no ontology provided the coverage needed to capture a broad spectrum of biobank user scenarios. Based in the principles laid out by the Open Biological and Biomedical Ontologies Foundry two biobanking ontologies have been developed. These two ontologies were merged using a modular approach consistent with the initial development principles. The merging was facilitated by the fact that both ontologies use the same Upper Ontology and re-use classes from a similar set of pre-existing ontologies. Based on the two previous ontologies the Ontology for Biobanking (http://purl.obolibrary.org/obo/obib.owl) was created. Due to the fact that there was no overlap between the two source ontologies the coverage of the resulting ontology is significantly larger than of the two source ontologies. The ontology is successfully used in managing biobank information of the Penn Medicine BioBank. Sharing development principles and Upper Ontologies facilitates subsequent merging of ontologies to achieve a broader coverage.

  5. Ontology Research and Development. Part 2 - A Review of Ontology Mapping and Evolving.

    ERIC Educational Resources Information Center

    Ding, Ying; Foo, Schubert

    2002-01-01

    Reviews ontology research and development, specifically ontology mapping and evolving. Highlights include an overview of ontology mapping projects; maintaining existing ontologies and extending them as appropriate when new information or knowledge is acquired; and ontology's role and the future of the World Wide Web, or Semantic Web. (Contains 55…

  6. Ontological analysis of SNOMED CT.

    PubMed

    Héja, Gergely; Surján, György; Varga, Péter

    2008-10-27

    SNOMED CT is the most comprehensive medical terminology. However, its use for intelligent services based on formal reasoning is questionable. The analysis of the structure of SNOMED CT is based on the formal top-level ontology DOLCE. The analysis revealed several ontological and knowledge-engineering errors, the most important are errors in the hierarchy (mostly from an ontological point of view, but also regarding medical aspects) and the mixing of subsumption relations with other types (mostly 'part of'). The found errors impede formal reasoning. The paper presents a possible way to correct these problems.

  7. Ontological analysis of SNOMED CT

    PubMed Central

    Héja, Gergely; Surján, György; Varga, Péter

    2008-01-01

    Background SNOMED CT is the most comprehensive medical terminology. However, its use for intelligent services based on formal reasoning is questionable. Methods The analysis of the structure of SNOMED CT is based on the formal top-level ontology DOLCE. Results The analysis revealed several ontological and knowledge-engineering errors, the most important are errors in the hierarchy (mostly from an ontological point of view, but also regarding medical aspects) and the mixing of subsumption relations with other types (mostly 'part of'). Conclusion The found errors impede formal reasoning. The paper presents a possible way to correct these problems. PMID:19007445

  8. Developing a Modular Hydrogeology Ontology Extending the SWEET Ontologies

    NASA Astrophysics Data System (ADS)

    Tripathi, A.; Babaie, H. A.

    2005-12-01

    Reengineering upper-level ontologies to make them useful for specific domains can be achieved using modular software development techniques. The challenge of manipulating complex and general, upper-level ontologies can be overcome by using ontology development tools for the purpose of analysis and design of new concepts and extension of existing concepts. As a use case representing this approach we present the reengineering of NASA's Semantic Web for Earth and Environmental Terminology (SWEET) ontologies to include part of the hydrogeology concepts. We have maintained the modular design of the SWEET ontologies for maximum extensibility and reusability. The modular reengineering of the SWEET ontologies to include hydrogeology domain involved the following steps: (1): Identify the terms and concepts relevant to the hydrogeology domain through scenarios, competency questions, and interviews with domain experts. (2): Establish the inter-relationships between concepts (e.g., vadose zone = unsaturated zone). (3): Identify the dependent concepts, such as physical properties or units, and determine their relationships to external concepts. (4): Download the OWL files from SWEET, and save them on local systems for editing. (5): Use ontology editing tools like SWOOP and Protege to analyze the structure of the existing OWL files. (6): Add new domain concepts as new classes in the OWL files, or as subclasses of already existing classes in the SWEET ontologies. The step involved changing the relationships (properties) and/or adding new relationships where they were required in the domain. Sometimes the entire structure of the existing concepts needed to be changed to represent the domain concept more meaningfully. (7): Test the consistency of concepts using appropriate tools (e.g., Protege, which uses the Racer reasoner to check consistency of concepts). (8) Add individuals to the new concepts to test the modified ontologies. We present an example of a simple RDQL query to test

  9. The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability

    DOE PAGES

    Diehl, Alexander D.; Meehan, Terrence F.; Bradford, Yvonne M.; ...

    2016-07-04

    Background: The Cell Ontology (CL) is an OBO Foundry candidate ontology covering the domain of canonical, natural biological cell types. Since its inception in 2005, the CL has undergone multiple rounds of revision and expansion, most notably in its representation of hematopoietic cells. For in vivo cells, the CL focuses on vertebrates but provides general classes that can be used for other metazoans, which can be subtyped in species-specific ontologies. Construction and content: Recent work on the CL has focused on extending the representation of various cell types, and developing new modules in the CL itself, and in related ontologiesmore » in coordination with the CL. For example, the Kidney and Urinary Pathway Ontology was used as a template to populate the CL with additional cell types. In addition, subtypes of the class 'cell in vitro' have received improved definitions and labels to provide for modularity with the representation of cells in the Cell Line Ontology and Reagent Ontology. Recent changes in the ontology development methodology for CL include a switch from OBO to OWL for the primary encoding of the ontology, and an increasing reliance on logical definitions for improved reasoning. Utility and discussion: The CL is now mandated as a metadata standard for large functional genomics and transcriptomics projects, and is used extensively for annotation, querying, and analyses of cell type specific data in sequencing consortia such as FANTOM5 and ENCODE, as well as for the NIAID ImmPort database and the Cell Image Library. The CL is also a vital component used in the modular construction of other biomedical ontologies-for example, the Gene Ontology and the cross-species anatomy ontology, Uberon, use CL to support the consistent representation of cell types across different levels of anatomical granularity, such as tissues and organs. Conclusions: The ongoing improvements to the CL make it a valuable resource to both the OBO Foundry community and the

  10. Ontology-Oriented Programming for Biomedical Informatics.

    PubMed

    Lamy, Jean-Baptiste

    2016-01-01

    Ontologies are now widely used in the biomedical domain. However, it is difficult to manipulate ontologies in a computer program and, consequently, it is not easy to integrate ontologies with databases or websites. Two main approaches have been proposed for accessing ontologies in a computer program: traditional API (Application Programming Interface) and ontology-oriented programming, either static or dynamic. In this paper, we will review these approaches and discuss their appropriateness for biomedical ontologies. We will also present an experience feedback about the integration of an ontology in a computer software during the VIIIP research project. Finally, we will present OwlReady, the solution we developed.

  11. Modeling Tools and Ontology Development

    NASA Astrophysics Data System (ADS)

    Gaševic, Dragan; Djuric, Dragan; Devedžic, Vladan

    In this chapter, we give a few tutorials on how to use some of the currently available UML tools to create ontologies using the Ontology UML Profile. We also provide a brief overview of the Atlas Transformation Language (ATL) and its tooling support. Here we will show how ATL can be used for transforming ODM, and thus continue our discussion about transformations provided in Chap. 10.

  12. How the gene ontology evolves.

    PubMed

    Leonelli, Sabina; Diehl, Alexander D; Christie, Karen R; Harris, Midori A; Lomax, Jane

    2011-08-05

    Maintaining a bio-ontology in the long term requires improving and updating its contents so that it adequately captures what is known about biological phenomena. This paper illustrates how these processes are carried out, by studying the ways in which curators at the Gene Ontology have hitherto incorporated new knowledge into their resource. Five types of circumstances are singled out as warranting changes in the ontology: (1) the emergence of anomalies within GO; (2) the extension of the scope of GO; (3) divergence in how terminology is used across user communities; (4) new discoveries that change the meaning of the terms used and their relations to each other; and (5) the extension of the range of relations used to link entities or processes described by GO terms. This study illustrates the difficulties involved in applying general standards to the development of a specific ontology. Ontology curation aims to produce a faithful representation of knowledge domains as they keep developing, which requires the translation of general guidelines into specific representations of reality and an understanding of how scientific knowledge is produced and constantly updated. In this context, it is important that trained curators with technical expertise in the scientific field(s) in question are involved in supervising ontology shifts and identifying inaccuracies.

  13. From classification to epilepsy ontology and informatics.

    PubMed

    Zhang, Guo-Qiang; Sahoo, Satya S; Lhatoo, Samden D

    2012-07-01

    The 2010 International League Against Epilepsy (ILAE) classification and terminology commission report proposed a much needed departure from previous classifications to incorporate advances in molecular biology, neuroimaging, and genetics. It proposed an interim classification and defined two key requirements that need to be satisfied. The first is the ability to classify epilepsy in dimensions according to a variety of purposes including clinical research, patient care, and drug discovery. The second is the ability of the classification system to evolve with new discoveries. Multidimensionality and flexibility are crucial to the success of any future classification. In addition, a successful classification system must play a central role in the rapidly growing field of epilepsy informatics. An epilepsy ontology, based on classification, will allow information systems to facilitate data-intensive studies and provide a proven route to meeting the two foregoing key requirements. Epilepsy ontology will be a structured terminology system that accommodates proposed and evolving ILAE classifications, the National Institutes of Health/National Institute of Neurological Disorders and Stroke (NIH/NINDS) Common Data Elements, the International Classification of Diseases (ICD) systems and explicitly specifies all known relationships between epilepsy concepts in a proper framework. This will aid evidence-based epilepsy diagnosis, investigation, treatment and research for a diverse community of clinicians and researchers. Benefits range from systematization of electronic patient records to multimodal data repositories for research and training manuals for those involved in epilepsy care. Given the complexity, heterogeneity, and pace of research advances in the epilepsy domain, such an ontology must be collaboratively developed by key stakeholders in the epilepsy community and experts in knowledge engineering and computer science. Wiley Periodicals, Inc. © 2012 International

  14. From Classification to Epilepsy Ontology and Informatics

    PubMed Central

    Zhang, Guo-Qiang; Sahoo, Satya S; Lhatoo, Samden D

    2012-01-01

    Summary The 2010 International League Against Epilepsy (ILAE) classification and terminology commission report proposed a much needed departure from previous classifications to incorporate advances in molecular biology, neuroimaging, and genetics. It proposed an interim classification and defined two key requirements that need to be satisfied. The first is the ability to classify epilepsy in dimensions according to a variety of purposes including clinical research, patient care, and drug discovery. The second is the ability of the classification system to evolve with new discoveries. Multi-dimensionality and flexibility are crucial to the success of any future classification. In addition, a successful classification system must play a central role in the rapidly growing field of epilepsy informatics. An epilepsy ontology, based on classification, will allow information systems to facilitate data-intensive studies and provide a proven route to meeting the two foregoing key requirements. Epilepsy ontology will be a structured terminology system that accommodates proposed and evolving ILAE classifications, the NIH/NINDS Common Data Elements, the ICD systems and explicitly specifies all known relationships between epilepsy concepts in a proper framework. This will aid evidence based epilepsy diagnosis, investigation, treatment and research for a diverse community of clinicians and researchers. Benefits range from systematization of electronic patient records to multi-modal data repositories for research and training manuals for those involved in epilepsy care. Given the complexity, heterogeneity and pace of research advances in the epilepsy domain, such an ontology must be collaboratively developed by key stakeholders in the epilepsy community and experts in knowledge engineering and computer science. PMID:22765502

  15. ``Force,'' ontology, and language

    NASA Astrophysics Data System (ADS)

    Brookes, David T.; Etkina, Eugenia

    2009-06-01

    We introduce a linguistic framework through which one can interpret systematically students’ understanding of and reasoning about force and motion. Some researchers have suggested that students have robust misconceptions or alternative frameworks grounded in everyday experience. Others have pointed out the inconsistency of students’ responses and presented a phenomenological explanation for what is observed, namely, knowledge in pieces. We wish to present a view that builds on and unifies aspects of this prior research. Our argument is that many students’ difficulties with force and motion are primarily due to a combination of linguistic and ontological difficulties. It is possible that students are primarily engaged in trying to define and categorize the meaning of the term “force” as spoken about by physicists. We found that this process of negotiation of meaning is remarkably similar to that engaged in by physicists in history. In this paper we will describe a study of the historical record that reveals an analogous process of meaning negotiation, spanning multiple centuries. Using methods from cognitive linguistics and systemic functional grammar, we will present an analysis of the force and motion literature, focusing on prior studies with interview data. We will then discuss the implications of our findings for physics instruction.

  16. ontologyX: a suite of R packages for working with ontological data.

    PubMed

    Greene, Daniel; Richardson, Sylvia; Turro, Ernest

    2017-01-05

    Ontologies are widely used constructs for encoding and analyzing biomedical data, but the absence of simple and consistent tools has made exploratory and systematic analysis of such data unnecessarily difficult. Here we present three packages which aim to simplify such procedures. The ontologyIndex package enables arbitrary ontologies to be read into R, supports representation of ontological objects by native R types, and provides a parsimonius set of performant functions for querying ontologies. ontologySimilarity and ontologyPlot extend ontologyIndex with functionality for straightforward visualization and semantic similarity calculations, including statistical routines.

  17. Ontologies, knowledge representation, artificial intelligence - hype or prerequisites for international pHealth Interoperability?

    PubMed

    Blobel, Bernd

    2011-01-01

    Nowadays, eHealth and pHealth solutions have to meet advanced interoperability challenges. Enabling pervasive computing and even autonomic computing, pHealth system architectures cover many domains, scientifically managed by specialized disciplines using their specific ontologies. Therefore, semantic interoperability has to advance from a communication protocol to an ontology coordination challenge including semantic integration, bringing knowledge representation and artificial intelligence on the table. The resulting solutions comprehensively support multi-lingual and multi-jurisdictional environments.

  18. Efficient Management of Biomedical Ontology Versions

    NASA Astrophysics Data System (ADS)

    Kirsten, Toralf; Hartung, Michael; Groß, Anika; Rahm, Erhard

    Ontologies have become very popular in life sciences and other domains. They mostly undergo continuous changes and new ontology versions are frequently released. However, current analysis studies do not consider the ontology changes reflected in different versions but typically limit themselves to a specific ontology version which may quickly become obsolete. To allow applications easy access to different ontology versions we propose a central and uniform management of the versions of different biomedical ontologies. The proposed database approach takes concept and structural changes of succeeding ontology versions into account thereby supporting different kinds of change analysis. Furthermore, it is very space-efficient by avoiding redundant storage of ontology components which remain unchanged in different versions. We evaluate the storage requirements and query performance of the proposed approach for the Gene Ontology.

  19. FYPO: the fission yeast phenotype ontology.

    PubMed

    Harris, Midori A; Lock, Antonia; Bähler, Jürg; Oliver, Stephen G; Wood, Valerie

    2013-07-01

    To provide consistent computable descriptions of phenotype data, PomBase is developing a formal ontology of phenotypes observed in fission yeast. The fission yeast phenotype ontology (FYPO) is a modular ontology that uses several existing ontologies from the open biological and biomedical ontologies (OBO) collection as building blocks, including the phenotypic quality ontology PATO, the Gene Ontology and Chemical Entities of Biological Interest. Modular ontology development facilitates partially automated effective organization of detailed phenotype descriptions with complex relationships to each other and to underlying biological phenomena. As a result, FYPO supports sophisticated querying, computational analysis and comparison between different experiments and even between species. FYPO releases are available from the Subversion repository at the PomBase SourceForge project page (https://sourceforge.net/p/pombase/code/HEAD/tree/phenotype_ontology/). The current version of FYPO is also available on the OBO Foundry Web site (http://obofoundry.org/).

  20. An Ontology for the Discovery of Time-series Data

    NASA Astrophysics Data System (ADS)

    Hooper, R. P.; Choi, Y.; Piasecki, M.; Zaslavsky, I.; Valentine, D. W.; Whitenack, T.

    2010-12-01

    An ontology was developed to enable a single-dimensional keyword search of time-series data collected at fixed points, such as stream gage records, water quality observations, or repeated biological measurements collected at fixed stations. The hierarchical levels were developed to allow navigation from general concepts to more specific ones, terminating in a leaf concept, which is the specific property measured. For example, the concept “nutrient” has child concepts of “nitrogen”, “phosphorus”, and “carbon”; each of these children concepts are then broken into the actual constituent measured (e.g., “total kjeldahl nitrogen” or “nitrate + nitrite”). In this way, a non-expert user can find all nutrients containing nitrogen without knowing all the species measured, but an expert user can go immediately to the compound of interest. In addition, a property, such as dissolved silica, can appear as a leaf concept under nutrients or weathering products. This flexibility allows users from various disciplines to find properties of interest. The ontology can be viewed at http://water.sdsc.edu/hiscentral/startree.aspx. Properties measured by various data publishers (e.g., universities and government agencies) are tagged with leaf concepts from this ontology. A discovery client, HydroDesktop, creates a search request by defining the spatial and temporal extent of interest and a keyword taken from the discovery ontology. Metadata returned from the catalog describes the time series which meet the specified search criteria. This ontology is considered to be an initial description of physical, chemical and biological properties measured in water and suspended sediment. Future plans call for creating a moderated forum for the scientific community to add to and to modify this ontology. Further information for the Hydrologic Information Systems project, of which this is a part, is available at http://his.cuahsi.org.

  1. How granularity issues concern biomedical ontology integration.

    PubMed

    Schulz, Stefan; Boeker, Martin; Stenzhorn, Holger

    2008-01-01

    The application of upper ontologies has been repeatedly advocated for supporting interoperability between domain ontologies in order to facilitate shared data use both within and across disciplines. We have developed BioTop as a top-domain ontology to integrate more specialized ontologies in the biomolecular and biomedical domain. In this paper, we report on concrete integration problems of this ontology with the domain-independent Basic Formal Ontology (BFO) concerning the issue of fiat and aggregated objects in the context of different granularity levels. We conclude that the third BFO level must be ignored in order not to obviate cross-granularity integration.

  2. Hydrologic Ontology for the Web

    NASA Astrophysics Data System (ADS)

    Bermudez, L. E.; Piasecki, M.

    2003-12-01

    This poster presents the conceptual development of a Hydrologic Ontology for the Web (HOW) that will facilitate data sharing among the hydrologic community. Hydrologic data is difficult to share because of its predicted vast increase in data volume, the availability of new measurement technologies and the heterogeneity of information systems used to produced, store, retrieved and used the data. The augmented capacity of the Internet and the technologies recommended by the W3C, as well as metadata standards provide sophisticated means to make data more usable and systems to be more integrated. Standard metadata is commonly used to solve interoperability issues. For the hydrologic field an explicit metadata standard does not exist, but one could be created extending metadata standards such as the FGDC-STD-001-1998 or ISO 19115. Standard metadata defines a set of elements required to describe data in a consistent manner, and their domains are sometimes restricted by a finite set of values or controlled vocabulary (e.g. code lists in ISO/DIS 19115). This controlled vocabulary is domain specific varying from one information community to another, allowing dissimilar descriptions to similar data sets. This issue is sometimes called semantic non-interoperability or semantic heterogeneity, and it is usually the main problem when sharing data. Explicit domain ontologies could be created to provide semantic interoperability among heterogeneous information communities. Domain ontologies supply the values for restricted domains of some elements in the metadata set and the semantic mapping with other domain ontologies. To achieve interoperability between applications that exchange machine-understandable information on the Web, metadata is expressed using Resource Description Framework (RDF) and domain ontologies are expressed using the Ontology Web Language (OWL), which is also based on RDF. A specific OWL ontology for hydrology is HOW. HOW presents, using a formal syntax, the

  3. Tutorial on Protein Ontology Resources.

    PubMed

    Arighi, Cecilia N; Drabkin, Harold; Christie, Karen R; Ross, Karen E; Natale, Darren A

    2017-01-01

    The Protein Ontology (PRO) is the reference ontology for proteins in the Open Biomedical Ontologies (OBO) foundry and consists of three sub-ontologies representing protein classes of homologous genes, proteoforms (e.g., splice isoforms, sequence variants, and post-translationally modified forms), and protein complexes. PRO defines classes of proteins and protein complexes, both species-specific and species nonspecific, and indicates their relationships in a hierarchical framework, supporting accurate protein annotation at the appropriate level of granularity, analyses of protein conservation across species, and semantic reasoning. In the first section of this chapter, we describe the PRO framework including categories of PRO terms and the relationship of PRO to other ontologies and protein resources. Next, we provide a tutorial about the PRO website ( proconsortium.org ) where users can browse and search the PRO hierarchy, view reports on individual PRO terms, and visualize relationships among PRO terms in a hierarchical table view, a multiple sequence alignment view, and a Cytoscape network view. Finally, we describe several examples illustrating the unique and rich information available in PRO.

  4. Ontologies for cancer nanotechnology research.

    PubMed

    Thomas, Dennis G; Pappu, Rohit V; Baker, Nathan A

    2009-01-01

    Cancer nanotechnology research data are diverse. Ontologies that provide a unifying knowledge framework for annotation of data are necessary to facilitate the sharing and semantic integration of data for advancing the research via informatics methods. In this work, we report the development of NanoParticle Ontology (NPO) to support the terminological and informatics needs of cancer nanotechnology. The NPO is developed within the framework of the Basic Formal Ontology (BFO) using well-defined principles, and implemented in the Ontology Web Language (OWL). The NPO currently represents entities related to physical, chemical and functional descriptions of nanoparticles that are formulated and tested for applications in cancer diagnostics and therapeutics. Public releases of the NPO are available through the BioPortal web site, maintained by the National Center for Biomedical Ontology. Expansion of the scope and application of the NPO will depend on the needs of and feedback from the user community, and its adoption in nanoparticle database applications. As the NPO continues to grow, it will require a governance structure and well-organized community effort for the maintenance, review and development of the NPO.

  5. 75 FR 54416 - Notice of Meeting of the Committee of Chairs of the Industry Trade Advisory Committees (ITACs)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-07

    ... hold a meeting on Friday, September 17, 2010, from 10 a.m. to 12 noon. The meeting will be closed to the public from 10 a.m. to 10:45 a.m. and opened to the public from 11 a.m. to 12 noon. DATES: The... Committees (ITACs) AGENCY: Office of the United States Trade Representative. ACTION: Notice of a Partially...

  6. Complex Topographic Feature Ontology Patterns

    USGS Publications Warehouse

    Varanka, Dalia E.; Jerris, Thomas J.

    2015-01-01

    Semantic ontologies are examined as effective data models for the representation of complex topographic feature types. Complex feature types are viewed as integrated relations between basic features for a basic purpose. In the context of topographic science, such component assemblages are supported by resource systems and found on the local landscape. Ontologies are organized within six thematic modules of a domain ontology called Topography that includes within its sphere basic feature types, resource systems, and landscape types. Context is constructed not only as a spatial and temporal setting, but a setting also based on environmental processes. Types of spatial relations that exist between components include location, generative processes, and description. An example is offered in a complex feature type ‘mine.’ The identification and extraction of complex feature types are an area for future research.

  7. The cellular microscopy phenotype ontology.

    PubMed

    Jupp, Simon; Malone, James; Burdett, Tony; Heriche, Jean-Karim; Williams, Eleanor; Ellenberg, Jan; Parkinson, Helen; Rustici, Gabriella

    2016-01-01

    Phenotypic data derived from high content screening is currently annotated using free-text, thus preventing the integration of independent datasets, including those generated in different biological domains, such as cell lines, mouse and human tissues. We present the Cellular Microscopy Phenotype Ontology (CMPO), a species neutral ontology for describing phenotypic observations relating to the whole cell, cellular components, cellular processes and cell populations. CMPO is compatible with related ontology efforts, allowing for future cross-species integration of phenotypic data. CMPO was developed following a curator-driven approach where phenotype data were annotated by expert biologists following the Entity-Quality (EQ) pattern. These EQs were subsequently transformed into new CMPO terms following an established post composition process. CMPO is currently being utilized to annotate phenotypes associated with high content screening datasets stored in several image repositories including the Image Data Repository (IDR), MitoSys project database and the Cellular Phenotype Database to facilitate data browsing and discoverability.

  8. Ontology Matching with Semantic Verification

    PubMed Central

    Jean-Mary, Yves R.; Shironoshita, E. Patrick; Kabuka, Mansur R.

    2009-01-01

    ASMOV (Automated Semantic Matching of Ontologies with Verification) is a novel algorithm that uses lexical and structural characteristics of two ontologies to iteratively calculate a similarity measure between them, derives an alignment, and then verifies it to ensure that it does not contain semantic inconsistencies. In this paper, we describe the ASMOV algorithm, and then present experimental results that measure its accuracy using the OAEI 2008 tests, and that evaluate its use with two different thesauri: WordNet, and the Unified Medical Language System (UMLS). These results show the increased accuracy obtained by combining lexical, structural and extensional matchers with semantic verification, and demonstrate the advantage of using a domain-specific thesaurus for the alignment of specialized ontologies. PMID:20186256

  9. An ontology for sensor networks

    NASA Astrophysics Data System (ADS)

    Compton, Michael; Neuhaus, Holger; Bermudez, Luis; Cox, Simon

    2010-05-01

    Sensors and networks of sensors are important ways of monitoring and digitizing reality. As the number and size of sensor networks grows, so too does the amount of data collected. Users of such networks typically need to discover the sensors and data that fit their needs without necessarily understanding the complexities of the network itself. The burden on users is eased if the network and its data are expressed in terms of concepts familiar to the users and their job functions, rather than in terms of the network or how it was designed. Furthermore, the task of collecting and combining data from multiple sensor networks is made easier if metadata about the data and the networks is stored in a format and conceptual models that is amenable to machine reasoning and inference. While the OGC's (Open Geospatial Consortium) SWE (Sensor Web Enablement) standards provide for the description and access to data and metadata for sensors, they do not provide facilities for abstraction, categorization, and reasoning consistent with standard technologies. Once sensors and networks are described using rich semantics (that is, by using logic to describe the sensors, the domain of interest, and the measurements) then reasoning and classification can be used to analyse and categorise data, relate measurements with similar information content, and manage, query and task sensors. This will enable types of automated processing and logical assurance built on OGC standards. The W3C SSN-XG (Semantic Sensor Networks Incubator Group) is producing a generic ontology to describe sensors, their environment and the measurements they make. The ontology provides definitions for the structure of sensors and observations, leaving the details of the observed domain unspecified. This allows abstract representations of real world entities, which are not observed directly but through their observable qualities. Domain semantics, units of measurement, time and time series, and location and mobility

  10. Meeting Competence Needs in the Hotel and Catering Industry Now and in the Future. Research Report 1992.

    ERIC Educational Resources Information Center

    Walker, Anne, Ed.; Hayter, Roy, Ed.

    The hotel and catering industry in the United Kingdom is estimated to have employed 2,392,000 people in 1990--about 9 percent of the total work force in employment in the country. These figures came from a major study into the skills needs of the hotel and catering industry in relation to the current provision of vocational education. Data are…

  11. Meeting Competence Needs in the Hotel and Catering Industry Now and in the Future. Research Report 1992.

    ERIC Educational Resources Information Center

    Walker, Anne, Ed.; Hayter, Roy, Ed.

    The hotel and catering industry in the United Kingdom is estimated to have employed 2,392,000 people in 1990--about 9 percent of the total work force in employment in the country. These figures came from a major study into the skills needs of the hotel and catering industry in relation to the current provision of vocational education. Data are…

  12. Technology, Free Enterprise, and Careers through Industrial Arts. A Competency Based Curriculum Guide Designed to Meet High School Graduation Requirements.

    ERIC Educational Resources Information Center

    Berry Coll., Mount Berry, GA.

    This curriculum guide, consisting of materials for use in providing an industrial arts instructional program, focuses on competencies related to life coping skills, technology, free enterprise, and career opportunities through industrial arts. Addressed in the course are the following topics: career planning and development; decision making;…

  13. CLO: The cell line ontology

    PubMed Central

    2014-01-01

    Background Cell lines have been widely used in biomedical research. The community-based Cell Line Ontology (CLO) is a member of the OBO Foundry library that covers the domain of cell lines. Since its publication two years ago, significant updates have been made, including new groups joining the CLO consortium, new cell line cells, upper level alignment with the Cell Ontology (CL) and the Ontology for Biomedical Investigation, and logical extensions. Construction and content Collaboration among the CLO, CL, and OBI has established consensus definitions of cell line-specific terms such as ‘cell line’, ‘cell line cell’, ‘cell line culturing’, and ‘mortal’ vs. ‘immortal cell line cell’. A cell line is a genetically stable cultured cell population that contains individual cell line cells. The hierarchical structure of the CLO is built based on the hierarchy of the in vivo cell types defined in CL and tissue types (from which cell line cells are derived) defined in the UBERON cross-species anatomy ontology. The new hierarchical structure makes it easier to browse, query, and perform automated classification. We have recently added classes representing more than 2,000 cell line cells from the RIKEN BRC Cell Bank to CLO. Overall, the CLO now contains ~38,000 classes of specific cell line cells derived from over 200 in vivo cell types from various organisms. Utility and discussion The CLO has been applied to different biomedical research studies. Example case studies include annotation and analysis of EBI ArrayExpress data, bioassays, and host-vaccine/pathogen interaction. CLO’s utility goes beyond a catalogue of cell line types. The alignment of the CLO with related ontologies combined with the use of ontological reasoners will support sophisticated inferencing to advance translational informatics development. PMID:25852852

  14. Markov Chain Ontology Analysis (MCOA)

    PubMed Central

    2012-01-01

    Background Biomedical ontologies have become an increasingly critical lens through which researchers analyze the genomic, clinical and bibliographic data that fuels scientific research. Of particular relevance are methods, such as enrichment analysis, that quantify the importance of ontology classes relative to a collection of domain data. Current analytical techniques, however, remain limited in their ability to handle many important types of structural complexity encountered in real biological systems including class overlaps, continuously valued data, inter-instance relationships, non-hierarchical relationships between classes, semantic distance and sparse data. Results In this paper, we describe a methodology called Markov Chain Ontology Analysis (MCOA) and illustrate its use through a MCOA-based enrichment analysis application based on a generative model of gene activation. MCOA models the classes in an ontology, the instances from an associated dataset and all directional inter-class, class-to-instance and inter-instance relationships as a single finite ergodic Markov chain. The adjusted transition probability matrix for this Markov chain enables the calculation of eigenvector values that quantify the importance of each ontology class relative to other classes and the associated data set members. On both controlled Gene Ontology (GO) data sets created with Escherichia coli, Drosophila melanogaster and Homo sapiens annotations and real gene expression data extracted from the Gene Expression Omnibus (GEO), the MCOA enrichment analysis approach provides the best performance of comparable state-of-the-art methods. Conclusion A methodology based on Markov chain models and network analytic metrics can help detect the relevant signal within large, highly interdependent and noisy data sets and, for applications such as enrichment analysis, has been shown to generate superior performance on both real and simulated data relative to existing state-of-the-art approaches

  15. Making Meetings Work Better.

    ERIC Educational Resources Information Center

    Standke, Linda

    1978-01-01

    Focusing on the increased use by trainers of off-site facilities for employee training meetings, this article looks at some improvements and the expanding market in the meeting site industry. It also highlights emerging trends in the industry and covers the growth of meeting planning into a profession. (EM)

  16. Design of schistosomiasis ontology (IDOSCHISTO) extending the infectious disease ontology.

    PubMed

    Camara, Gaoussou; Despres, Sylvie; Djedidi, Rim; Lo, Moussa

    2013-01-01

    Epidemiological monitoring of the schistosomiasis' spreading brings together many practitioners working at different levels of granularity (biology, host individual, host population), who have different perspectives (biology, clinic and epidemiology) on the same phenomenon. Biological perspective deals with pathogens (e.g. life cycle) or physiopathology while clinical perspective deals with hosts (e.g. healthy or infected host, diagnosis, treatment, etc.). In an epidemiological perspective corresponding to the host population level of granularity, the schistosomiasis disease is characterized according to the way (causes, risk factors, etc.) it spreads in this population over space and time. In this paper we provide an ontological analysis and design for the Schistosomiasis domain knowledge and spreading dynamics. IDOSCHISTO - the schistosomiasis ontology - is designed as an extension of the Infectious Disease Ontology (IDO). This ontology aims at supporting the schistosomiasis monitoring process during a spreading crisis by enabling data integration, semantic interoperability, for collaborative work on one hand and for risk analysis and decision making on the other hand.

  17. Versioning System for Distributed Ontology Development

    DTIC Science & Technology

    2016-03-15

    Distributed Ontology Development S.K. Damodaran 15 March 2016 This material is based on work supported by the Assistant Secretary of Defense for...Distributed Ontology Development S.K. Damodaran Formerly Group 59 15 March 2016 Massachusetts Institute of Technology Lincoln Laboratory...intentionally left blank. iii EXECUTIVE SUMMARY Common Cyber Environment Representation (CCER) is an ontology for describing operationally relevant, and

  18. A Gene Ontology Tutorial in Python.

    PubMed

    Vesztrocy, Alex Warwick; Dessimoz, Christophe

    2017-01-01

    This chapter is a tutorial on using Gene Ontology resources in the Python programming language. This entails querying the Gene Ontology graph, retrieving Gene Ontology annotations, performing gene enrichment analyses, and computing basic semantic similarity between GO terms. An interactive version of the tutorial, including solutions, is available at http://gohandbook.org .

  19. The “Father of Stress” Meets “Big Tobacco”: Hans Selye and the Tobacco Industry

    PubMed Central

    Lee, Kelley

    2011-01-01

    The concept of stress remains prominent in public health and owes much to the work of Hans Selye (1907–1982), the “father of stress.” One of his main allies in this work has never been discussed as such: the tobacco industry. After an analysis of tobacco industry documents, we found that Selye received extensive tobacco industry funding and that his research on stress and health was used in litigation to defend the industry's interests and argue against a causal role for smoking in coronary heart disease and cancer. These findings have implications for assessing the scientific integrity of certain areas of stress research and for understanding corporate influences on public health research, including research on the social determinants of health. PMID:20466961

  20. Definition of an Ontology Matching Algorithm for Context Integration in Smart Cities

    PubMed Central

    Otero-Cerdeira, Lorena; Rodríguez-Martínez, Francisco J.; Gómez-Rodríguez, Alma

    2014-01-01

    In this paper we describe a novel proposal in the field of smart cities: using an ontology matching algorithm to guarantee the automatic information exchange between the agents and the smart city. A smart city is composed by different types of agents that behave as producers and/or consumers of the information in the smart city. In our proposal, the data from the context is obtained by sensor and device agents while users interact with the smart city by means of user or system agents. The knowledge of each agent, as well as the smart city's knowledge, is semantically represented using different ontologies. To have an open city, that is fully accessible to any agent and therefore to provide enhanced services to the users, there is the need to ensure a seamless communication between agents and the city, regardless of their inner knowledge representations, i.e., ontologies. To meet this goal we use ontology matching techniques, specifically we have defined a new ontology matching algorithm called OntoPhil to be deployed within a smart city, which has never been done before. OntoPhil was tested on the benchmarks provided by the well known evaluation initiative, Ontology Alignment Evaluation Initiative, and also compared to other matching algorithms, although these algorithms were not specifically designed for smart cities. Additionally, specific tests involving a smart city's ontology and different types of agents were conducted to validate the usefulness of OntoPhil in the smart city environment. PMID:25494353

  1. Definition of an Ontology Matching Algorithm for Context Integration in Smart Cities.

    PubMed

    Otero-Cerdeira, Lorena; Rodríguez-Martínez, Francisco J; Gómez-Rodríguez, Alma

    2014-12-08

    In this paper we describe a novel proposal in the field of smart cities: using an ontology matching algorithm to guarantee the automatic information exchange between the agents and the smart city. A smart city is composed by different types of agents that behave as producers and/or consumers of the information in the smart city. In our proposal, the data from the context is obtained by sensor and device agents while users interact with the smart city by means of user or system agents. The knowledge of each agent, as well as the smart city's knowledge, is semantically represented using different ontologies. To have an open city, that is fully accessible to any agent and therefore to provide enhanced services to the users, there is the need to ensure a seamless communication between agents and the city, regardless of their inner knowledge representations, i.e., ontologies. To meet this goal we use ontology matching techniques, specifically we have defined a new ontology matching algorithm called OntoPhil to be deployed within a smart city, which has never been done before. OntoPhil was tested on the benchmarks provided by the well known evaluation initiative, Ontology Alignment Evaluation Initiative, and also compared to other matching algorithms, although these algorithms were not specifically designed for smart cities. Additionally, specific tests involving a smart city's ontology and different types of agents were conducted to validate the usefulness of OntoPhil in the smart city environment.

  2. Emotion Education without Ontological Commitment?

    ERIC Educational Resources Information Center

    Kristjansson, Kristjan

    2010-01-01

    Emotion education is enjoying new-found popularity. This paper explores the "cosy consensus" that seems to have developed in education circles, according to which approaches to emotion education are immune from metaethical considerations such as contrasting rationalist and sentimentalist views about the moral ontology of emotions. I spell out five…

  3. An ontology for microbial phenotypes.

    PubMed

    Chibucos, Marcus C; Zweifel, Adrienne E; Herrera, Jonathan C; Meza, William; Eslamfam, Shabnam; Uetz, Peter; Siegele, Deborah A; Hu, James C; Giglio, Michelle G

    2014-11-30

    Phenotypic data are routinely used to elucidate gene function in organisms amenable to genetic manipulation. However, previous to this work, there was no generalizable system in place for the structured storage and retrieval of phenotypic information for bacteria. The Ontology of Microbial Phenotypes (OMP) has been created to standardize the capture of such phenotypic information from microbes. OMP has been built on the foundations of the Basic Formal Ontology and the Phenotype and Trait Ontology. Terms have logical definitions that can facilitate computational searching of phenotypes and their associated genes. OMP can be accessed via a wiki page as well as downloaded from SourceForge. Initial annotations with OMP are being made for Escherichia coli using a wiki-based annotation capture system. New OMP terms are being concurrently developed as annotation proceeds. We anticipate that diverse groups studying microbial genetics and associated phenotypes will employ OMP for standardizing microbial phenotype annotation, much as the Gene Ontology has standardized gene product annotation. The resulting OMP resource and associated annotations will facilitate prediction of phenotypes for unknown genes and result in new experimental characterization of phenotypes and functions.

  4. The SWAN biomedical discourse ontology.

    PubMed

    Ciccarese, Paolo; Wu, Elizabeth; Wong, Gwen; Ocana, Marco; Kinoshita, June; Ruttenberg, Alan; Clark, Tim

    2008-10-01

    Developing cures for highly complex diseases, such as neurodegenerative disorders, requires extensive interdisciplinary collaboration and exchange of biomedical information in context. Our ability to exchange such information across sub-specialties today is limited by the current scientific knowledge ecosystem's inability to properly contextualize and integrate data and discourse in machine-interpretable form. This inherently limits the productivity of research and the progress toward cures for devastating diseases such as Alzheimer's and Parkinson's. SWAN (Semantic Web Applications in Neuromedicine) is an interdisciplinary project to develop a practical, common, semantically structured, framework for biomedical discourse initially applied, but not limited, to significant problems in Alzheimer Disease (AD) research. The SWAN ontology has been developed in the context of building a series of applications for biomedical researchers, as well as in extensive discussions and collaborations with the larger bio-ontologies community. In this paper, we present and discuss the SWAN ontology of biomedical discourse. We ground its development theoretically, present its design approach, explain its main classes and their application, and show its relationship to other ongoing activities in biomedicine and bio-ontologies.

  5. Gene Ontology Annotations and Resources

    PubMed Central

    2013-01-01

    The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations. First, the number of manual, literature-based annotations has grown at an increasing rate. Second, as a result of a new ‘phylogenetic annotation’ process, manually reviewed, homology-based annotations are becoming available for a broad range of species. Third, the quality of GO annotations has been improved through a streamlined process for, and automated quality checks of, GO annotations deposited by different annotation groups. Fourth, the consistency and correctness of the ontology itself has increased by using automated reasoning tools. Finally, the GO has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology using tools for adding new combinatorial terms. The GOC works closely with other ontology developers to support integrated use of terminologies. The GOC supports its user community through the use of e-mail lists, social media and web-based resources. PMID:23161678

  6. Gene Ontology annotations and resources.

    PubMed

    Blake, J A; Dolan, M; Drabkin, H; Hill, D P; Li, Ni; Sitnikov, D; Bridges, S; Burgess, S; Buza, T; McCarthy, F; Peddinti, D; Pillai, L; Carbon, S; Dietze, H; Ireland, A; Lewis, S E; Mungall, C J; Gaudet, P; Chrisholm, R L; Fey, P; Kibbe, W A; Basu, S; Siegele, D A; McIntosh, B K; Renfro, D P; Zweifel, A E; Hu, J C; Brown, N H; Tweedie, S; Alam-Faruque, Y; Apweiler, R; Auchinchloss, A; Axelsen, K; Bely, B; Blatter, M -C; Bonilla, C; Bouguerleret, L; Boutet, E; Breuza, L; Bridge, A; Chan, W M; Chavali, G; Coudert, E; Dimmer, E; Estreicher, A; Famiglietti, L; Feuermann, M; Gos, A; Gruaz-Gumowski, N; Hieta, R; Hinz, C; Hulo, C; Huntley, R; James, J; Jungo, F; Keller, G; Laiho, K; Legge, D; Lemercier, P; Lieberherr, D; Magrane, M; Martin, M J; Masson, P; Mutowo-Muellenet, P; O'Donovan, C; Pedruzzi, I; Pichler, K; Poggioli, D; Porras Millán, P; Poux, S; Rivoire, C; Roechert, B; Sawford, T; Schneider, M; Stutz, A; Sundaram, S; Tognolli, M; Xenarios, I; Foulgar, R; Lomax, J; Roncaglia, P; Khodiyar, V K; Lovering, R C; Talmud, P J; Chibucos, M; Giglio, M Gwinn; Chang, H -Y; Hunter, S; McAnulla, C; Mitchell, A; Sangrador, A; Stephan, R; Harris, M A; Oliver, S G; Rutherford, K; Wood, V; Bahler, J; Lock, A; Kersey, P J; McDowall, D M; Staines, D M; Dwinell, M; Shimoyama, M; Laulederkind, S; Hayman, T; Wang, S -J; Petri, V; Lowry, T; D'Eustachio, P; Matthews, L; Balakrishnan, R; Binkley, G; Cherry, J M; Costanzo, M C; Dwight, S S; Engel, S R; Fisk, D G; Hitz, B C; Hong, E L; Karra, K; Miyasato, S R; Nash, R S; Park, J; Skrzypek, M S; Weng, S; Wong, E D; Berardini, T Z; Huala, E; Mi, H; Thomas, P D; Chan, J; Kishore, R; Sternberg, P; Van Auken, K; Howe, D; Westerfield, M

    2013-01-01

    The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations. First, the number of manual, literature-based annotations has grown at an increasing rate. Second, as a result of a new 'phylogenetic annotation' process, manually reviewed, homology-based annotations are becoming available for a broad range of species. Third, the quality of GO annotations has been improved through a streamlined process for, and automated quality checks of, GO annotations deposited by different annotation groups. Fourth, the consistency and correctness of the ontology itself has increased by using automated reasoning tools. Finally, the GO has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology using tools for adding new combinatorial terms. The GOC works closely with other ontology developers to support integrated use of terminologies. The GOC supports its user community through the use of e-mail lists, social media and web-based resources.

  7. Gradient Learning Algorithms for Ontology Computing

    PubMed Central

    Gao, Wei; Zhu, Linli

    2014-01-01

    The gradient learning model has been raising great attention in view of its promising perspectives for applications in statistics, data dimensionality reducing, and other specific fields. In this paper, we raise a new gradient learning model for ontology similarity measuring and ontology mapping in multidividing setting. The sample error in this setting is given by virtue of the hypothesis space and the trick of ontology dividing operator. Finally, two experiments presented on plant and humanoid robotics field verify the efficiency of the new computation model for ontology similarity measure and ontology mapping applications in multidividing setting. PMID:25530752

  8. Ontology for Vector Surveillance and Management

    PubMed Central

    LOZANO-FUENTES, SAUL; BANDYOPADHYAY, ARITRA; COWELL, LINDSAY G.; GOLDFAIN, ALBERT; EISEN, LARS

    2013-01-01

    Ontologies, which are made up by standardized and defined controlled vocabulary terms and their interrelationships, are comprehensive and readily searchable repositories for knowledge in a given domain. The Open Biomedical Ontologies (OBO) Foundry was initiated in 2001 with the aims of becoming an “umbrella” for life-science ontologies and promoting the use of ontology development best practices. A software application (OBO-Edit; *.obo file format) was developed to facilitate ontology development and editing. The OBO Foundry now comprises over 100 ontologies and candidate ontologies, including the NCBI organismal classification ontology (NCBITaxon), the Mosquito Insecticide Resistance Ontology (MIRO), the Infectious Disease Ontology (IDO), the IDOMAL malaria ontology, and ontologies for mosquito gross anatomy and tick gross anatomy. We previously developed a disease data management system for dengue and malaria control programs, which incorporated a set of information trees built upon ontological principles, including a “term tree” to promote the use of standardized terms. In the course of doing so, we realized that there were substantial gaps in existing ontologies with regards to concepts, processes, and, especially, physical entities (e.g., vector species, pathogen species, and vector surveillance and management equipment) in the domain of surveillance and management of vectors and vector-borne pathogens. We therefore produced an ontology for vector surveillance and management, focusing on arthropod vectors and vector-borne pathogens with relevance to humans or domestic animals, and with special emphasis on content to support operational activities through inclusion in databases, data management systems, or decision support systems. The Vector Surveillance and Management Ontology (VSMO) includes >2,200 unique terms, of which the vast majority (>80%) were newly generated during the development of this ontology. One core feature of the VSMO is the linkage

  9. Ontology for vector surveillance and management.

    PubMed

    Lozano-Fuentes, Saul; Bandyopadhyay, Aritra; Cowell, Lindsay G; Goldfain, Albert; Eisen, Lars

    2013-01-01

    Ontologies, which are made up by standardized and defined controlled vocabulary terms and their interrelationships, are comprehensive and readily searchable repositories for knowledge in a given domain. The Open Biomedical Ontologies (OBO) Foundry was initiated in 2001 with the aims of becoming an "umbrella" for life-science ontologies and promoting the use of ontology development best practices. A software application (OBO-Edit; *.obo file format) was developed to facilitate ontology development and editing. The OBO Foundry now comprises over 100 ontologies and candidate ontologies, including the NCBI organismal classification ontology (NCBITaxon), the Mosquito Insecticide Resistance Ontology (MIRO), the Infectious Disease Ontology (IDO), the IDOMAL malaria ontology, and ontologies for mosquito gross anatomy and tick gross anatomy. We previously developed a disease data management system for dengue and malaria control programs, which incorporated a set of information trees built upon ontological principles, including a "term tree" to promote the use of standardized terms. In the course of doing so, we realized that there were substantial gaps in existing ontologies with regards to concepts, processes, and, especially, physical entities (e.g., vector species, pathogen species, and vector surveillance and management equipment) in the domain of surveillance and management of vectors and vector-borne pathogens. We therefore produced an ontology for vector surveillance and management, focusing on arthropod vectors and vector-borne pathogens with relevance to humans or domestic animals, and with special emphasis on content to support operational activities through inclusion in databases, data management systems, or decision support systems. The Vector Surveillance and Management Ontology (VSMO) includes >2,200 unique terms, of which the vast majority (>80%) were newly generated during the development of this ontology. One core feature of the VSMO is the linkage, through

  10. Ontological simulation for educational process organisation in a higher educational institution

    NASA Astrophysics Data System (ADS)

    Berestneva, O. G.; Marukhina, O. V.; Bahvalov, S. V.; Fisochenko, O. N.; Berestneva, E. V.

    2017-01-01

    Following the new-generation standards is needed to form a task list connected with planning and organizing of an academic process, structure and content formation of degree programmes. Even when planning the structure and content of an academic process, one meets some problems concerning the necessity to assess the correlation between degree programmes and demands of educational and professional standards and to consider today’s job-market and students demands. The paper presents examples of ontological simulations for solutions of organizing educational process problems in a higher educational institution and gives descriptions of model development. The article presents two examples: ontological simulation when planning an educational process in a higher educational institution and ontological simulation for describing competences of an IT-specialist. The paper sets a conclusion about ontology application perceptiveness for formalization of educational process organization in a higher educational institution.

  11. Ontologies as integrative tools for plant science

    PubMed Central

    Walls, Ramona L.; Athreya, Balaji; Cooper, Laurel; Elser, Justin; Gandolfo, Maria A.; Jaiswal, Pankaj; Mungall, Christopher J.; Preece, Justin; Rensing, Stefan; Smith, Barry; Stevenson, Dennis W.

    2012-01-01

    Premise of the study Bio-ontologies are essential tools for accessing and analyzing the rapidly growing pool of plant genomic and phenomic data. Ontologies provide structured vocabularies to support consistent aggregation of data and a semantic framework for automated analyses and reasoning. They are a key component of the semantic web. Methods This paper provides background on what bio-ontologies are, why they are relevant to botany, and the principles of ontology development. It includes an overview of ontologies and related resources that are relevant to plant science, with a detailed description of the Plant Ontology (PO). We discuss the challenges of building an ontology that covers all green plants (Viridiplantae). Key results Ontologies can advance plant science in four keys areas: (1) comparative genetics, genomics, phenomics, and development; (2) taxonomy and systematics; (3) semantic applications; and (4) education. Conclusions Bio-ontologies offer a flexible framework for comparative plant biology, based on common botanical understanding. As genomic and phenomic data become available for more species, we anticipate that the annotation of data with ontology terms will become less centralized, while at the same time, the need for cross-species queries will become more common, causing more researchers in plant science to turn to ontologies. PMID:22847540

  12. Ontologies as integrative tools for plant science.

    PubMed

    Walls, Ramona L; Athreya, Balaji; Cooper, Laurel; Elser, Justin; Gandolfo, Maria A; Jaiswal, Pankaj; Mungall, Christopher J; Preece, Justin; Rensing, Stefan; Smith, Barry; Stevenson, Dennis W

    2012-08-01

    Bio-ontologies are essential tools for accessing and analyzing the rapidly growing pool of plant genomic and phenomic data. Ontologies provide structured vocabularies to support consistent aggregation of data and a semantic framework for automated analyses and reasoning. They are a key component of the semantic web. This paper provides background on what bio-ontologies are, why they are relevant to botany, and the principles of ontology development. It includes an overview of ontologies and related resources that are relevant to plant science, with a detailed description of the Plant Ontology (PO). We discuss the challenges of building an ontology that covers all green plants (Viridiplantae). Ontologies can advance plant science in four keys areas: (1) comparative genetics, genomics, phenomics, and development; (2) taxonomy and systematics; (3) semantic applications; and (4) education. Bio-ontologies offer a flexible framework for comparative plant biology, based on common botanical understanding. As genomic and phenomic data become available for more species, we anticipate that the annotation of data with ontology terms will become less centralized, while at the same time, the need for cross-species queries will become more common, causing more researchers in plant science to turn to ontologies.

  13. Impact of ontology evolution on functional analyses.

    PubMed

    Groß, Anika; Hartung, Michael; Prüfer, Kay; Kelso, Janet; Rahm, Erhard

    2012-10-15

    Ontologies are used in the annotation and analysis of biological data. As knowledge accumulates, ontologies and annotation undergo constant modifications to reflect this new knowledge. These modifications may influence the results of statistical applications such as functional enrichment analyses that describe experimental data in terms of ontological groupings. Here, we investigate to what degree modifications of the Gene Ontology (GO) impact these statistical analyses for both experimental and simulated data. The analysis is based on new measures for the stability of result sets and considers different ontology and annotation changes. Our results show that past changes in the GO are non-uniformly distributed over different branches of the ontology. Considering the semantic relatedness of significant categories in analysis results allows a more realistic stability assessment for functional enrichment studies. We observe that the results of term-enrichment analyses tend to be surprisingly stable despite changes in ontology and annotation.

  14. Proceedings of the Second Workshop on Theory meets Industry (Erwin-Schrödinger-Institute (ESI), Vienna, Austria, 12-14 June 2007).

    PubMed

    Hafner, Jürgen

    2008-02-13

    The development of modern materials science has led to a growing need to understand the phenomena determining the properties of materials on an atomistic level. As the behavior of atoms and electrons is governed by the laws of quantum mechanics, accurate and efficient techniques for solving the basic quantum-mechanical equations for very complex many-atom, many-electron systems are required. The development of density-functional theory (DFT) represents a decisive step forwards in our efforts to develop tools for ab initio atomistic simulations of complex materials, preparing the way towards computational materials design. The development of these ab initio simulation methods, whose aim is to model processes in materials by solving the coupled Newtonian equations of motion of the atoms and the Schrödinger equation for the electrons from first principles without any other input than the atomic numbers of the constituents, is part of fundamental research. Hence, for a long time the development and application of DFT methods has been a domain of academic research. Only during the past decade, based on the development of increasingly sophisticated codes and better computer performance, has the impact of DFT-based simulation methods has spread from academia to industry. New opportunities are opening for innovative materials research across physics, chemistry, surface science and nanotechnology extending even to earth sciences and molecular biology. In 1998 we organized, at the Vienna University of Technology, a first workshop entitled 'Electronic Structure Calculations for Industry and Basic Sciences' (short title 'Theory meets Industry') to celebrate the start of the European Science Foundation (ESF) research program 'Electronic Structure Calculations for Elucidating the Complex Atomistic Behavior of Solids and Surfaces', known as the Ψ(k)-network. At this workshop, researchers from academia presented recent results in the development of ab initio simulation methods

  15. FOREWORD: Proceedings of the Second Workshop on Theory meets Industry (Erwin-Schrödinger-Institute (ESI), Vienna, Austria, 12 14 June 2007)

    NASA Astrophysics Data System (ADS)

    Hafner, Jürgen

    2008-02-01

    The development of modern materials science has led to a growing need to understand the phenomena determining the properties of materials on an atomistic level. As the behavior of atoms and electrons is governed by the laws of quantum mechanics, accurate and efficient techniques for solving the basic quantum-mechanical equations for very complex many-atom, many-electron systems are required. The development of density-functional theory (DFT) represents a decisive step forwards in our efforts to develop tools for ab initio atomistic simulations of complex materials, preparing the way towards computational materials design. The development of these ab initio simulation methods, whose aim is to model processes in materials by solving the coupled Newtonian equations of motion of the atoms and the Schrödinger equation for the electrons from first principles without any other input than the atomic numbers of the constituents, is part of fundamental research. Hence, for a long time the development and application of DFT methods has been a domain of academic research. Only during the past decade, based on the development of increasingly sophisticated codes and better computer performance, has the impact of DFT-based simulation methods has spread from academia to industry. New opportunities are opening for innovative materials research across physics, chemistry, surface science and nanotechnology extending even to earth sciences and molecular biology. In 1998 we organized, at the Vienna University of Technology, a first workshop entitled 'Electronic Structure Calculations for Industry and Basic Sciences' (short title 'Theory meets Industry') to celebrate the start of the European Science Foundation (ESF) research program 'Electronic Structure Calculations for Elucidating the Complex Atomistic Behavior of Solids and Surfaces', known as the Ψk-network. At this workshop, researchers from academia presented recent results in the development of ab initio simulation methods and

  16. Building a biomedical ontology recommender web service

    PubMed Central

    2010-01-01

    Background Researchers in biomedical informatics use ontologies and terminologies to annotate their data in order to facilitate data integration and translational discoveries. As the use of ontologies for annotation of biomedical datasets has risen, a common challenge is to identify ontologies that are best suited to annotating specific datasets. The number and variety of biomedical ontologies is large, and it is cumbersome for a researcher to figure out which ontology to use. Methods We present the Biomedical Ontology Recommender web service. The system uses textual metadata or a set of keywords describing a domain of interest and suggests appropriate ontologies for annotating or representing the data. The service makes a decision based on three criteria. The first one is coverage, or the ontologies that provide most terms covering the input text. The second is connectivity, or the ontologies that are most often mapped to by other ontologies. The final criterion is size, or the number of concepts in the ontologies. The service scores the ontologies as a function of scores of the annotations created using the National Center for Biomedical Ontology (NCBO) Annotator web service. We used all the ontologies from the UMLS Metathesaurus and the NCBO BioPortal. Results We compare and contrast our Recommender by an exhaustive functional comparison to previously published efforts. We evaluate and discuss the results of several recommendation heuristics in the context of three real world use cases. The best recommendations heuristics, rated ‘very relevant’ by expert evaluators, are the ones based on coverage and connectivity criteria. The Recommender service (alpha version) is available to the community and is embedded into BioPortal. PMID:20626921

  17. Building a biomedical ontology recommender web service.

    PubMed

    Jonquet, Clement; Musen, Mark A; Shah, Nigam H

    2010-06-22

    Researchers in biomedical informatics use ontologies and terminologies to annotate their data in order to facilitate data integration and translational discoveries. As the use of ontologies for annotation of biomedical datasets has risen, a common challenge is to identify ontologies that are best suited to annotating specific datasets. The number and variety of biomedical ontologies is large, and it is cumbersome for a researcher to figure out which ontology to use. We present the Biomedical Ontology Recommender web service. The system uses textual metadata or a set of keywords describing a domain of interest and suggests appropriate ontologies for annotating or representing the data. The service makes a decision based on three criteria. The first one is coverage, or the ontologies that provide most terms covering the input text. The second is connectivity, or the ontologies that are most often mapped to by other ontologies. The final criterion is size, or the number of concepts in the ontologies. The service scores the ontologies as a function of scores of the annotations created using the National Center for Biomedical Ontology (NCBO) Annotator web service. We used all the ontologies from the UMLS Metathesaurus and the NCBO BioPortal. We compare and contrast our Recommender by an exhaustive functional comparison to previously published efforts. We evaluate and discuss the results of several recommendation heuristics in the context of three real world use cases. The best recommendations heuristics, rated 'very relevant' by expert evaluators, are the ones based on coverage and connectivity criteria. The Recommender service (alpha version) is available to the community and is embedded into BioPortal.

  18. Alignment of ICNP® 2.0 ontology and a proposed INCP® Brazilian ontology.

    PubMed

    Carvalho, Carina Maris Gaspar; Cubas, Marcia Regina; Malucelli, Andreia; Nóbrega, Maria Miriam Lima da

    2014-01-01

    to align the International Classification for Nursing Practice (ICNP®) Version 2.0 ontology and a proposed INCP® Brazilian Ontology. document-based, exploratory and descriptive study, the empirical basis of which was provided by the ICNP® 2.0 Ontology and the INCP® Brazilian Ontology. The ontology alignment was performed using a computer tool with algorithms to identify correspondences between concepts, which were organized and analyzed according to their presence or absence, their names, and their sibling, parent, and child classes. there were 2,682 concepts present in the ICNP® 2.0 Ontology that were missing in the Brazilian Ontology; 717 concepts present in the Brazilian Ontology were missing in the ICNP® 2.0 Ontology; and there were 215 pairs of matching concepts. it is believed that the correspondences identified in this study might contribute to the interoperability between the representations of nursing practice elements in ICNP®, thus allowing the standardization of nursing records based on this classification system.

  19. Inconsistencies Between Physician-Reported Disclosures at the AAOS Annual Meeting and Industry-Reported Financial Disclosures in the Open Payments Database.

    PubMed

    Hannon, Charles P; Chalmers, Peter N; Carpiniello, Matthew F; Cvetanovich, Gregory L; Cole, Brian J; Bach, Bernard R

    2016-10-19

    The purpose of this study was to determine the rate and type of inconsistencies between disclosures self-reported by physicians at a major academic meeting in the United States and industry-reported disclosures in the Open Payments database for a concordant time period. Disclosures for every first and last author from the United States with a medical degree of a podium or poster presentation at the 2014 American Academy of Orthopaedic Surgeons (AAOS) Annual Meeting were collected and were compared with the disclosures reported in the Open Payments database to determine if any inconsistencies were present and, if so, within which category. In total, 1,925 total AAOS presenters were identified, and 1,113 met the inclusion criteria. Based on AAOS disclosures, 432 (39%) should have been listed within the Open Payments database. There were 125 presenters (11%) who reported an AAOS disclosure and thus should have been included in the Open Payments database, but were not included. An additional 259 presenters (23%) had ≥1 AAOS disclosures that were not reported or were improperly categorized in the Open Payments database. Inconsistencies were more common for authors who had significantly more poster presentations (p < 0.001), podium presentations (p = 0.01), total presentations (p < 0.001), and AAOS disclosures (p < 0.001) and a significantly higher value of payments in the Open Payments database (p < 0.001). In this sample, there was a 35% rate of inconsistency between physician-reported financial relationships for presenters at the AAOS Annual Meeting and industry-reported relationships published in the Open Payments database. Copyright © 2016 by The Journal of Bone and Joint Surgery, Incorporated.

  20. An Educational Needs Assessment of Pennsylvania Workforce: Opportunities to Redefine Secondary Career and Technical Education to Meet Food Industry Needs

    ERIC Educational Resources Information Center

    Napoleon, Larry; Freedman, Debra; Seetharaman, Koushik; Sharma, Priya

    2006-01-01

    This article describes the outcomes of a needs assessment concerning current training needs and performance targets for non-degreed employees in the food industry. Focus groups were used to gather data from 5 food-processing companies: a fresh vegetable company, a canned vegetable company, 2 snack food companies, and a meat company. Focus group…

  1. An Educational Needs Assessment of Pennsylvania Workforce: Opportunities to Redefine Secondary Career and Technical Education to Meet Food Industry Needs

    ERIC Educational Resources Information Center

    Napoleon, Larry; Freedman, Debra; Seetharaman, Koushik; Sharma, Priya

    2006-01-01

    This article describes the outcomes of a needs assessment concerning current training needs and performance targets for non-degreed employees in the food industry. Focus groups were used to gather data from 5 food-processing companies: a fresh vegetable company, a canned vegetable company, 2 snack food companies, and a meat company. Focus group…

  2. Assessing the Technology Programming Used by Community Colleges to Meet Industry Needs: An Exploratory Case Study Research

    ERIC Educational Resources Information Center

    Hernandez, Otto G.

    2014-01-01

    Historically, community college missions have addressed both the transfer to 4-year colleges and universities, as well as local workforce development. To facilitate the workforce development component of their mission, community college leaders and program managers have regularly sought partnerships with significant industry members in their…

  3. Meeting the Expectation of Industry: An Integrated Approach for the Teaching of Mechanics and Electronics to Design Students

    ERIC Educational Resources Information Center

    Bingham, Guy A.; Southee, Darren J.; Page, Tom

    2015-01-01

    This paper examines the traditional engineering-based provision delivered to Product Design and Technology (B.Sc.) undergraduates at the Loughborough Design School and questions its relevancy against the increasing expectations of industry. The paper reviews final-year design projects to understand the level of transference of engineering-based…

  4. Meeting the Expectation of Industry: An Integrated Approach for the Teaching of Mechanics and Electronics to Design Students

    ERIC Educational Resources Information Center

    Bingham, Guy A.; Southee, Darren J.; Page, Tom

    2015-01-01

    This paper examines the traditional engineering-based provision delivered to Product Design and Technology (B.Sc.) undergraduates at the Loughborough Design School and questions its relevancy against the increasing expectations of industry. The paper reviews final-year design projects to understand the level of transference of engineering-based…

  5. Development of a Curriculum to Meet Changing Manpower Needs of the Computer and Business Machine Industries; Interim Developments. Final Report.

    ERIC Educational Resources Information Center

    Lescarbeau, Roland F.; And Others

    This suggested curriculum guide represents the consensus of opinion by the representatives of seven schools comprising the Technical Education Consortium, with advice of industrial experts concerning the essential educational needs of the technicians they would employ. It will serve as a guide to schools planning to institute a program applicable…

  6. Ontological realism: A methodology for coordinated evolution of scientific ontologies

    PubMed Central

    Smith, Barry; Ceusters, Werner

    2011-01-01

    Since 2002 we have been testing and refining a methodology for ontology development that is now being used by multiple groups of researchers in different life science domains. Gary Merrill, in a recent paper in this journal, describes some of the reasons why this methodology has been found attractive by researchers in the biological and biomedical sciences. At the same time he assails the methodology on philosophical grounds, focusing specifically on our recommendation that ontologies developed for scientific purposes should be constructed in such a way that their terms are seen as referring to what we call universals or types in reality. As we show, Merrill’s critique is of little relevance to the success of our realist project, since it not only reveals no actual errors in our work but also criticizes views on universals that we do not in fact hold. However, it nonetheless provides us with a valuable opportunity to clarify the realist methodology, and to show how some of its principles are being applied, especially within the framework of the OBO (Open Biomedical Ontologies) Foundry initiative. PMID:21637730

  7. The Orthology Ontology: development and applications.

    PubMed

    Fernández-Breis, Jesualdo Tomás; Chiba, Hirokazu; Legaz-García, María Del Carmen; Uchiyama, Ikuo

    2016-06-04

    Computational comparative analysis of multiple genomes provides valuable opportunities to biomedical research. In particular, orthology analysis can play a central role in comparative genomics; it guides establishing evolutionary relations among genes of organisms and allows functional inference of gene products. However, the wide variations in current orthology databases necessitate the research toward the shareability of the content that is generated by different tools and stored in different structures. Exchanging the content with other research communities requires making the meaning of the content explicit. The need for a common ontology has led to the creation of the Orthology Ontology (ORTH) following the best practices in ontology construction. Here, we describe our model and major entities of the ontology that is implemented in the Web Ontology Language (OWL), followed by the assessment of the quality of the ontology and the application of the ORTH to existing orthology datasets. This shareable ontology enables the possibility to develop Linked Orthology Datasets and a meta-predictor of orthology through standardization for the representation of orthology databases. The ORTH is freely available in OWL format to all users at http://purl.org/net/orth . The Orthology Ontology can serve as a framework for the semantic standardization of orthology content and it will contribute to a better exploitation of orthology resources in biomedical research. The results demonstrate the feasibility of developing shareable datasets using this ontology. Further applications will maximize the usefulness of this ontology.

  8. Evaluation of research in biomedical ontologies.

    PubMed

    Hoehndorf, Robert; Dumontier, Michel; Gkoutos, Georgios V

    2013-11-01

    Ontologies are now pervasive in biomedicine, where they serve as a means to standardize terminology, to enable access to domain knowledge, to verify data consistency and to facilitate integrative analyses over heterogeneous biomedical data. For this purpose, research on biomedical ontologies applies theories and methods from diverse disciplines such as information management, knowledge representation, cognitive science, linguistics and philosophy. Depending on the desired applications in which ontologies are being applied, the evaluation of research in biomedical ontologies must follow different strategies. Here, we provide a classification of research problems in which ontologies are being applied, focusing on the use of ontologies in basic and translational research, and we demonstrate how research results in biomedical ontologies can be evaluated. The evaluation strategies depend on the desired application and measure the success of using an ontology for a particular biomedical problem. For many applications, the success can be quantified, thereby facilitating the objective evaluation and comparison of research in biomedical ontology. The objective, quantifiable comparison of research results based on scientific applications opens up the possibility for systematically improving the utility of ontologies in biomedical research.

  9. Evaluation of research in biomedical ontologies

    PubMed Central

    Dumontier, Michel; Gkoutos, Georgios V.

    2013-01-01

    Ontologies are now pervasive in biomedicine, where they serve as a means to standardize terminology, to enable access to domain knowledge, to verify data consistency and to facilitate integrative analyses over heterogeneous biomedical data. For this purpose, research on biomedical ontologies applies theories and methods from diverse disciplines such as information management, knowledge representation, cognitive science, linguistics and philosophy. Depending on the desired applications in which ontologies are being applied, the evaluation of research in biomedical ontologies must follow different strategies. Here, we provide a classification of research problems in which ontologies are being applied, focusing on the use of ontologies in basic and translational research, and we demonstrate how research results in biomedical ontologies can be evaluated. The evaluation strategies depend on the desired application and measure the success of using an ontology for a particular biomedical problem. For many applications, the success can be quantified, thereby facilitating the objective evaluation and comparison of research in biomedical ontology. The objective, quantifiable comparison of research results based on scientific applications opens up the possibility for systematically improving the utility of ontologies in biomedical research. PMID:22962340

  10. Mapping of Core Components Based e-Business Standards into Ontology

    NASA Astrophysics Data System (ADS)

    Magdalenić, Ivan; Vrdoljak, Boris; Schatten, Markus

    A mapping of Core Components specification based e-business standards to an ontology is presented. The Web Ontology Language (OWL) is used for ontology development. In order to preserve the existing hierarchy of the standards, an emphasis is put on the mapping of Core Components elements to specific constructs in OWL. The main purpose of developing an e-business standards' ontology is to create a foundation for an automated mapping system that would be able to convert concepts from various standards in an independent fashion. The practical applicability and verification of the presented mappings is tested on the mapping of Universal Business Language version 2.0 and Cross Industry Invoice version 2.0 to OWL.

  11. Revealing ontological commitments by magic.

    PubMed

    Griffiths, Thomas L

    2015-03-01

    Considering the appeal of different magical transformations exposes some systematic asymmetries. For example, it is more interesting to transform a vase into a rose than a rose into a vase. An experiment in which people judged how interesting they found different magic tricks showed that these asymmetries reflect the direction a transformation moves in an ontological hierarchy: transformations in the direction of animacy and intelligence are favored over the opposite. A second and third experiment demonstrated that judgments of the plausibility of machines that perform the same transformations do not show the same asymmetries, but judgments of the interestingness of such machines do. A formal argument relates this sense of interestingness to evidence for an alternative to our current physical theory, with magic tricks being a particularly pure source of such evidence. These results suggest that people's intuitions about magic tricks can reveal the ontological commitments that underlie human cognition.

  12. Product manufacturing, quality, and reliability initiatives to maintain a competitive advantage and meet customer expectations in the semiconductor industry

    NASA Astrophysics Data System (ADS)

    Capps, Gregory

    Semiconductor products are manufactured and consumed across the world. The semiconductor industry is constantly striving to manufacture products with greater performance, improved efficiency, less energy consumption, smaller feature sizes, thinner gate oxides, and faster speeds. Customers have pushed towards zero defects and require a more reliable, higher quality product than ever before. Manufacturers are required to improve yields, reduce operating costs, and increase revenue to maintain a competitive advantage. Opportunities exist for integrated circuit (IC) customers and manufacturers to work together and independently to reduce costs, eliminate waste, reduce defects, reduce warranty returns, and improve quality. This project focuses on electrical over-stress (EOS) and re-test okay (RTOK), two top failure return mechanisms, which both make great defect reduction opportunities in customer-manufacturer relationship. Proactive continuous improvement initiatives and methodologies are addressed with emphasis on product life cycle, manufacturing processes, test, statistical process control (SPC), industry best practices, customer education, and customer-manufacturer interaction.

  13. Industrial applications of holographic and speckle measuring techniques; Proceedings of the Meeting, The Hague, Netherlands, Mar. 12, 13, 1991

    SciTech Connect

    Jueptner, W.P.

    1991-01-01

    The present meeeting on industrial applications of holographic and speckle measuring techniques discusses applications of holographic interferometry, electro-optical holography, and new methods of interferometry. Attention is given to strategies for unwrapping noisy interferograms in phase-sampling interferometry, a spatial-carrier phase-shifting technique of fringe pattern analysis, synthetic wavelength interferometry for the extension of the dynamic range, and a universal interferometer with a synthesized reference wave. Topics addressed include industrial applications of self-diffraction phenomena in holography on photorefractive crystals, holographic soundfield visualization for nondestructive testing of hot surfaces, and determination of the adhesive load by holographic interferometry using the results of FEM calculations. Also discussed are plate vibrations by moire holography, fringe quality in pulsed TV-holography, and computerized vibration analysis of hot objects.

  14. Constraints in meeting food safety and quality requirements in the Turkish dairy industry: a case study of Izmir province.

    PubMed

    Demirbaş, Nevin; Karagözlü, Cem

    2008-02-01

    Recent global developments concerning food quality and food safety have influenced and stimulated food legislation in Turkey in accordance with internal and international trade and agreements. In this study, the way in which the dairy industry conforms to this legislation was analyzed through a case study of Izmir province, which generally has all the structural characteristics of the dairy sector in Turkey. A survey in which dairy plant managers responded to a special questionnaire was used to collect data from 86 dairy plants chosen on the basis of proportional sampling. According to the results of this study, (i) there are many dairy processors in the region, (ii) most managers have a limited education concerning their positions, (iii) most firms handle small volumes of milk and have little control over the raw milk supply, (iv) resources are too limited in these firms, limiting their ability to adopt most regulations, and (v) few processors apply the regulatory practices imposed by governmental agencies. Thus, food legislation is not enough to ensure food safety in the dairy industry in Turkey. Technical and educational support should be given to farmers and the staff of dairy firms by the Ministry of Agriculture to form an appropriate food safety infrastructure in Turkey for the milk and processed dairy products industry.

  15. Improvements to cardiovascular gene ontology.

    PubMed

    Lovering, Ruth C; Dimmer, Emily C; Talmud, Philippa J

    2009-07-01

    Gene Ontology (GO) provides a controlled vocabulary to describe the attributes of genes and gene products in any organism. Although one might initially wonder what relevance a 'controlled vocabulary' might have for cardiovascular science, such a resource is proving highly useful for researchers investigating complex cardiovascular disease phenotypes as well as those interpreting results from high-throughput methodologies. GO enables the current functional knowledge of individual genes to be used to annotate genomic or proteomic datasets. In this way, the GO data provides a very effective way of linking biological knowledge with the analysis of the large datasets of post-genomics research. Consequently, users of high-throughput methodologies such as expression arrays or proteomics will be the main beneficiaries of such annotation sets. However, as GO annotations increase in quality and quantity, groups using small-scale approaches will gradually begin to benefit too. For example, genome wide association scans for coronary heart disease are identifying novel genes, with previously unknown connections to cardiovascular processes, and the comprehensive annotation of these novel genes might provide clues to their cardiovascular link. At least 4000 genes, to date, have been implicated in cardiovascular processes and an initiative is underway to focus on annotating these genes for the benefit of the cardiovascular community. In this article we review the current uses of Gene Ontology annotation to highlight why Gene Ontology should be of interest to all those involved in cardiovascular research.

  16. The RNA structure alignment ontology

    PubMed Central

    Brown, James W.; Birmingham, Amanda; Griffiths, Paul E.; Jossinet, Fabrice; Kachouri-Lafond, Rym; Knight, Rob; Lang, B. Franz; Leontis, Neocles; Steger, Gerhard; Stombaugh, Jesse; Westhof, Eric

    2009-01-01

    Multiple sequence alignments are powerful tools for understanding the structures, functions, and evolutionary histories of linear biological macromolecules (DNA, RNA, and proteins), and for finding homologs in sequence databases. We address several ontological issues related to RNA sequence alignments that are informed by structure. Multiple sequence alignments are usually shown as two-dimensional (2D) matrices, with rows representing individual sequences, and columns identifying nucleotides from different sequences that correspond structurally, functionally, and/or evolutionarily. However, the requirement that sequences and structures correspond nucleotide-by-nucleotide is unrealistic and hinders representation of important biological relationships. High-throughput sequencing efforts are also rapidly making 2D alignments unmanageable because of vertical and horizontal expansion as more sequences are added. Solving the shortcomings of traditional RNA sequence alignments requires explicit annotation of the meaning of each relationship within the alignment. We introduce the notion of “correspondence,” which is an equivalence relation between RNA elements in sets of sequences as the basis of an RNA alignment ontology. The purpose of this ontology is twofold: first, to enable the development of new representations of RNA data and of software tools that resolve the expansion problems with current RNA sequence alignments, and second, to facilitate the integration of sequence data with secondary and three-dimensional structural information, as well as other experimental information, to create simultaneously more accurate and more exploitable RNA alignments. PMID:19622678

  17. A framework for lipoprotein ontology.

    PubMed

    Chen, Meifania; Hadzic, Maja

    2011-01-01

    Clinical and epidemiological studies have established a significant correlation between abnormal plasma lipoprotein levels and cardiovascular disease, which remains the leading cause of mortality in the world today. In addition, lipoprotein dysregulation, known as dyslipidemia, is a central feature in disease states, such as diabetes and hypertension, which increases the risk of cardiovascular disease. While a corpus of literature exists on different areas of lipoprotein research, one of the major challenges that researchers face is the difficulties in accessing and integrating relevant information amidst massive quantities of heterogeneous data. Semantic web technologies, specifically ontologies, target these problems by providing an organizational framework of the concepts involved in a system of related instances to support systematic querying of information. In this paper, we identify issues within the lipoprotein research domain and present a preliminary framework for Lipoprotein Ontology, which consists of five specific areas of lipoprotein research: Classification, Metabolism, Pathophysiology, Etiology, and Treatment. By integrating specific aspects of lipoprotein research, Lipoprotein Ontology will provide the basis for the design of various applications to enable interoperability between research groups or software agents, as well as the development of tools for the diagnosis and treatment of dyslipidemia.

  18. The Gene Ontology (GO) Cellular Component Ontology: integration with SAO (Subcellular Anatomy Ontology) and other recent developments

    PubMed Central

    2013-01-01

    Background The Gene Ontology (GO) (http://www.geneontology.org/) contains a set of terms for describing the activity and actions of gene products across all kingdoms of life. Each of these activities is executed in a location within a cell or in the vicinity of a cell. In order to capture this context, the GO includes a sub-ontology called the Cellular Component (CC) ontology (GO-CCO). The primary use of this ontology is for GO annotation, but it has also been used for phenotype annotation, and for the annotation of images. Another ontology with similar scope to the GO-CCO is the Subcellular Anatomy Ontology (SAO), part of the Neuroscience Information Framework Standard (NIFSTD) suite of ontologies. The SAO also covers cell components, but in the domain of neuroscience. Description Recently, the GO-CCO was enriched in content and links to the Biological Process and Molecular Function branches of GO as well as to other ontologies. This was achieved in several ways. We carried out an amalgamation of SAO terms with GO-CCO ones; as a result, nearly 100 new neuroscience-related terms were added to the GO. The GO-CCO also contains relationships to GO Biological Process and Molecular Function terms, as well as connecting to external ontologies such as the Cell Ontology (CL). Terms representing protein complexes in the Protein Ontology (PRO) reference GO-CCO terms for their species-generic counterparts. GO-CCO terms can also be used to search a variety of databases. Conclusions In this publication we provide an overview of the GO-CCO, its overall design, and some recent extensions that make use of additional spatial information. One of the most recent developments of the GO-CCO was the merging in of the SAO, resulting in a single unified ontology designed to serve the needs of GO annotators as well as the specific needs of the neuroscience community. PMID:24093723

  19. The Gene Ontology (GO) Cellular Component Ontology: integration with SAO (Subcellular Anatomy Ontology) and other recent developments.

    PubMed

    Roncaglia, Paola; Martone, Maryann E; Hill, David P; Berardini, Tanya Z; Foulger, Rebecca E; Imam, Fahim T; Drabkin, Harold; Mungall, Christopher J; Lomax, Jane

    2013-10-07

    The Gene Ontology (GO) (http://www.geneontology.org/) contains a set of terms for describing the activity and actions of gene products across all kingdoms of life. Each of these activities is executed in a location within a cell or in the vicinity of a cell. In order to capture this context, the GO includes a sub-ontology called the Cellular Component (CC) ontology (GO-CCO). The primary use of this ontology is for GO annotation, but it has also been used for phenotype annotation, and for the annotation of images. Another ontology with similar scope to the GO-CCO is the Subcellular Anatomy Ontology (SAO), part of the Neuroscience Information Framework Standard (NIFSTD) suite of ontologies. The SAO also covers cell components, but in the domain of neuroscience. Recently, the GO-CCO was enriched in content and links to the Biological Process and Molecular Function branches of GO as well as to other ontologies. This was achieved in several ways. We carried out an amalgamation of SAO terms with GO-CCO ones; as a result, nearly 100 new neuroscience-related terms were added to the GO. The GO-CCO also contains relationships to GO Biological Process and Molecular Function terms, as well as connecting to external ontologies such as the Cell Ontology (CL). Terms representing protein complexes in the Protein Ontology (PRO) reference GO-CCO terms for their species-generic counterparts. GO-CCO terms can also be used to search a variety of databases. In this publication we provide an overview of the GO-CCO, its overall design, and some recent extensions that make use of additional spatial information. One of the most recent developments of the GO-CCO was the merging in of the SAO, resulting in a single unified ontology designed to serve the needs of GO annotators as well as the specific needs of the neuroscience community.

  20. C2 Domain Ontology within Our Lifetime

    DTIC Science & Technology

    2009-06-01

    process or an event). [21] Figure 1, adopted from [16], depicts the concept of ontological levels for a post office application based on the Husserl ...University, NJ, 2008. [23] Husserl , E., Id Macmillan. 1931. [24] Basic Formal Ontology (multiple references and artifacts): http://www.ifomis.org/bfo/BFO...Applied Ontology An Introduction, pp 39-56, Transaction Books, Rutgers University, NJ, 2008.  [23] Husserl , E., Ideas: General Introduction to Pure

  1. Instance testing of the family history ontology.

    PubMed

    Peace, Jane; Brennan, Patricia Flatley; Brennan, Patti

    2008-11-06

    The Family History Ontology formalizes nursing conceptualization about family and family history. Traditional methods of instance testing were applied to evaluate the completeness of the ontology and demonstrated favorable domain coverage. Testing also revealed a need for a new category of instance test results, "by inference", for data that can be represented through the use of inference rules associated with the ontology rather than requiring direct manual entry.

  2. Course of Action Ontology for Counterinsurgency Operations

    DTIC Science & Technology

    2010-06-01

    Knowledge-Based Systems, Inc. 2 Course of Action Ontology for Counterinsurgency Operations Timothy P. Darr 1 , Ph.D., Perakath Benjamin , Ph.D., and...Working Paper, June 2009. [Darr2009] Darr , T. P., Benjamin , P. and Mayer, R., "Course of Action Planning Ontology", Ontology for the Intelligence...Timothy Darr , Perakath Benjamin , Richard Mayer Knowledge Based Systems, Inc. This work was supported by the Office of Naval Research under Contract N00014

  3. The Confidence Information Ontology: a step towards a standard for asserting confidence in annotations.

    PubMed

    Bastian, Frederic B; Chibucos, Marcus C; Gaudet, Pascale; Giglio, Michelle; Holliday, Gemma L; Huang, Hong; Lewis, Suzanna E; Niknejad, Anne; Orchard, Sandra; Poux, Sylvain; Skunca, Nives; Robinson-Rechavi, Marc

    2015-01-01

    Biocuration has become a cornerstone for analyses in biology, and to meet needs, the amount of annotations has considerably grown in recent years. However, the reliability of these annotations varies; it has thus become necessary to be able to assess the confidence in annotations. Although several resources already provide confidence information about the annotations that they produce, a standard way of providing such information has yet to be defined. This lack of standardization undermines the propagation of knowledge across resources, as well as the credibility of results from high-throughput analyses. Seeded at a workshop during the Biocuration 2012 conference, a working group has been created to address this problem. We present here the elements that were identified as essential for assessing confidence in annotations, as well as a draft ontology--the Confidence Information Ontology--to illustrate how the problems identified could be addressed. We hope that this effort will provide a home for discussing this major issue among the biocuration community. Tracker URL: https://github.com/BgeeDB/confidence-information-ontology Ontology URL: https://raw.githubusercontent.com/BgeeDB/confidence-information-ontology/master/src/ontology/cio-simple.obo

  4. eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment.

    PubMed

    Hastings, Janna; Jeliazkova, Nina; Owen, Gareth; Tsiliki, Georgia; Munteanu, Cristian R; Steinbeck, Christoph; Willighagen, Egon

    2015-01-01

    Engineered nanomaterials (ENMs) are being developed to meet specific application needs in diverse domains across the engineering and biomedical sciences (e.g. drug delivery). However, accompanying the exciting proliferation of novel nanomaterials is a challenging race to understand and predict their possibly detrimental effects on human health and the environment. The eNanoMapper project (www.enanomapper.net) is creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. Here, we describe the development of the eNanoMapper ontology based on adopting and extending existing ontologies of relevance for the nanosafety domain. The resulting eNanoMapper ontology is available at http://purl.enanomapper.net/onto/enanomapper.owl. We aim to make the re-use of external ontology content seamless and thus we have developed a library to automate the extraction of subsets of ontology content and the assembly of the subsets into an integrated whole. The library is available (open source) at http://github.com/enanomapper/slimmer/. Finally, we give a comprehensive survey of the domain content and identify gap areas. ENM safety is at the boundary between engineering and the life sciences, and at the boundary between molecular granularity and bulk granularity. This creates challenges for the definition of key entities in the domain, which we also discuss.

  5. A Marketplace for Ontologies and Ontology-Based Tools and Applications in the Life Sciences

    SciTech Connect

    McEntire, R; Goble, C; Stevens, R; Neumann, E; Matuszek, P; Critchlow, T; Tarczy-Hornoch, P

    2005-06-30

    This paper describes a strategy for the development of ontologies in the life sciences, tools to support the creation and use of those ontologies, and a framework whereby these ontologies can support the development of commercial applications within the field. At the core of these efforts is the need for an organization that will provide a focus for ontology work that will engage researchers as well as drive forward the commercial aspects of this effort.

  6. Ontorat: automatic generation of new ontology terms, annotations, and axioms based on ontology design patterns.

    PubMed

    Xiang, Zuoshuang; Zheng, Jie; Lin, Yu; He, Yongqun

    2015-01-01

    It is time-consuming to build an ontology with many terms and axioms. Thus it is desired to automate the process of ontology development. Ontology Design Patterns (ODPs) provide a reusable solution to solve a recurrent modeling problem in the context of ontology engineering. Because ontology terms often follow specific ODPs, the Ontology for Biomedical Investigations (OBI) developers proposed a Quick Term Templates (QTTs) process targeted at generating new ontology classes following the same pattern, using term templates in a spreadsheet format. Inspired by the ODPs and QTTs, the Ontorat web application is developed to automatically generate new ontology terms, annotations of terms, and logical axioms based on a specific ODP(s). The inputs of an Ontorat execution include axiom expression settings, an input data file, ID generation settings, and a target ontology (optional). The axiom expression settings can be saved as a predesigned Ontorat setting format text file for reuse. The input data file is generated based on a template file created by a specific ODP (text or Excel format). Ontorat is an efficient tool for ontology expansion. Different use cases are described. For example, Ontorat was applied to automatically generate over 1,000 Japan RIKEN cell line cell terms with both logical axioms and rich annotation axioms in the Cell Line Ontology (CLO). Approximately 800 licensed animal vaccines were represented and annotated in the Vaccine Ontology (VO) by Ontorat. The OBI team used Ontorat to add assay and device terms required by ENCODE project. Ontorat was also used to add missing annotations to all existing Biobank specific terms in the Biobank Ontology. A collection of ODPs and templates with examples are provided on the Ontorat website and can be reused to facilitate ontology development. With ever increasing ontology development and applications, Ontorat provides a timely platform for generating and annotating a large number of ontology terms by following

  7. Scientific Digital Libraries, Interoperability, and Ontologies

    NASA Technical Reports Server (NTRS)

    Hughes, J. Steven; Crichton, Daniel J.; Mattmann, Chris A.

    2009-01-01

    Scientific digital libraries serve complex and evolving research communities. Justifications for the development of scientific digital libraries include the desire to preserve science data and the promises of information interconnectedness, correlative science, and system interoperability. Shared ontologies are fundamental to fulfilling these promises. We present a tool framework, some informal principles, and several case studies where shared ontologies are used to guide the implementation of scientific digital libraries. The tool framework, based on an ontology modeling tool, was configured to develop, manage, and keep shared ontologies relevant within changing domains and to promote the interoperability, interconnectedness, and correlation desired by scientists.

  8. Vaccine and Drug Ontology Studies (VDOS 2014).

    PubMed

    Tao, Cui; He, Yongqun; Arabandi, Sivaram

    2016-01-01

    The "Vaccine and Drug Ontology Studies" (VDOS) international workshop series focuses on vaccine- and drug-related ontology modeling and applications. Drugs and vaccines have been critical to prevent and treat human and animal diseases. Work in both (drugs and vaccines) areas is closely related - from preclinical research and development to manufacturing, clinical trials, government approval and regulation, and post-licensure usage surveillance and monitoring. Over the last decade, tremendous efforts have been made in the biomedical ontology community to ontologically represent various areas associated with vaccines and drugs - extending existing clinical terminology systems such as SNOMED, RxNorm, NDF-RT, and MedDRA, developing new models such as the Vaccine Ontology (VO) and Ontology of Adverse Events (OAE), vernacular medical terminologies such as the Consumer Health Vocabulary (CHV). The VDOS workshop series provides a platform for discussing innovative solutions as well as the challenges in the development and applications of biomedical ontologies for representing and analyzing drugs and vaccines, their administration, host immune responses, adverse events, and other related topics. The five full-length papers included in this 2014 thematic issue focus on two main themes: (i) General vaccine/drug-related ontology development and exploration, and (ii) Interaction and network-related ontology studies.

  9. Predicting the extension of biomedical ontologies.

    PubMed

    Pesquita, Catia; Couto, Francisco M

    2012-01-01

    Developing and extending a biomedical ontology is a very demanding task that can never be considered complete given our ever-evolving understanding of the life sciences. Extension in particular can benefit from the automation of some of its steps, thus releasing experts to focus on harder tasks. Here we present a strategy to support the automation of change capturing within ontology extension where the need for new concepts or relations is identified. Our strategy is based on predicting areas of an ontology that will undergo extension in a future version by applying supervised learning over features of previous ontology versions. We used the Gene Ontology as our test bed and obtained encouraging results with average f-measure reaching 0.79 for a subset of biological process terms. Our strategy was also able to outperform state of the art change capturing methods. In addition we have identified several issues concerning prediction of ontology evolution, and have delineated a general framework for ontology extension prediction. Our strategy can be applied to any biomedical ontology with versioning, to help focus either manual or semi-automated extension methods on areas of the ontology that need extension.

  10. Creating a magnetic resonance imaging ontology

    PubMed Central

    Lasbleiz, Jérémy; Saint-Jalmes, Hervé; Duvauferrier, Régis; Burgun, Anita

    2011-01-01

    The goal of this work is to build an ontology of Magnetic Resonance Imaging. The MRI domain has been analysed regarding MRI simulators and the DICOM standard. Tow MRI simulators have been analysed: JEMRIS, which is developed in XML and C++, has a hierarchical organisation and SIMRI, which is developed in C, has a good representation of MRI physical processes. To build the ontology we have used Protégé 4, owl2 that allows quantitative representations. The ontology has been validated by a reasoner (Fact++) and by a good representation of DICOM headers and of MRI processes. The MRI ontology would improved MRI simulators and eased semantic interoperability. PMID:21893854

  11. Agile development of ontologies through conversation

    NASA Astrophysics Data System (ADS)

    Braines, Dave; Bhattal, Amardeep; Preece, Alun D.; de Mel, Geeth

    2016-05-01

    Ontologies and semantic systems are necessarily complex but offer great potential in terms of their ability to fuse information from multiple sources in support of situation awareness. Current approaches do not place the ontologies directly into the hands of the end user in the field but instead hide them away behind traditional applications. We have been experimenting with human-friendly ontologies and conversational interactions to enable non-technical business users to interact with and extend these dynamically. In this paper we outline our approach via a worked example, covering: OWL ontologies, ITA Controlled English, Sensor/mission matching and conversational interactions between human and machine agents.

  12. The National Center for Biomedical Ontology

    PubMed Central

    Noy, Natalya F; Shah, Nigam H; Whetzel, Patricia L; Chute, Christopher G; Story, Margaret-Anne; Smith, Barry

    2011-01-01

    The National Center for Biomedical Ontology is now in its seventh year. The goals of this National Center for Biomedical Computing are to: create and maintain a repository of biomedical ontologies and terminologies; build tools and web services to enable the use of ontologies and terminologies in clinical and translational research; educate their trainees and the scientific community broadly about biomedical ontology and ontology-based technology and best practices; and collaborate with a variety of groups who develop and use ontologies and terminologies in biomedicine. The centerpiece of the National Center for Biomedical Ontology is a web-based resource known as BioPortal. BioPortal makes available for research in computationally useful forms more than 270 of the world's biomedical ontologies and terminologies, and supports a wide range of web services that enable investigators to use the ontologies to annotate and retrieve data, to generate value sets and special-purpose lexicons, and to perform advanced analytics on a wide range of biomedical data. PMID:22081220

  13. The National Center for Biomedical Ontology.

    PubMed

    Musen, Mark A; Noy, Natalya F; Shah, Nigam H; Whetzel, Patricia L; Chute, Christopher G; Story, Margaret-Anne; Smith, Barry

    2012-01-01

    The National Center for Biomedical Ontology is now in its seventh year. The goals of this National Center for Biomedical Computing are to: create and maintain a repository of biomedical ontologies and terminologies; build tools and web services to enable the use of ontologies and terminologies in clinical and translational research; educate their trainees and the scientific community broadly about biomedical ontology and ontology-based technology and best practices; and collaborate with a variety of groups who develop and use ontologies and terminologies in biomedicine. The centerpiece of the National Center for Biomedical Ontology is a web-based resource known as BioPortal. BioPortal makes available for research in computationally useful forms more than 270 of the world's biomedical ontologies and terminologies, and supports a wide range of web services that enable investigators to use the ontologies to annotate and retrieve data, to generate value sets and special-purpose lexicons, and to perform advanced analytics on a wide range of biomedical data.

  14. Scientific Digital Libraries, Interoperability, and Ontologies

    NASA Technical Reports Server (NTRS)

    Hughes, J. Steven; Crichton, Daniel J.; Mattmann, Chris A.

    2009-01-01

    Scientific digital libraries serve complex and evolving research communities. Justifications for the development of scientific digital libraries include the desire to preserve science data and the promises of information interconnectedness, correlative science, and system interoperability. Shared ontologies are fundamental to fulfilling these promises. We present a tool framework, some informal principles, and several case studies where shared ontologies are used to guide the implementation of scientific digital libraries. The tool framework, based on an ontology modeling tool, was configured to develop, manage, and keep shared ontologies relevant within changing domains and to promote the interoperability, interconnectedness, and correlation desired by scientists.

  15. Where to Publish and Find Ontologies? A Survey of Ontology Libraries

    PubMed Central

    d'Aquin, Mathieu; Noy, Natalya F.

    2011-01-01

    One of the key promises of the Semantic Web is its potential to enable and facilitate data interoperability. The ability of data providers and application developers to share and reuse ontologies is a critical component of this data interoperability: if different applications and data sources use the same set of well defined terms for describing their domain and data, it will be much easier for them to “talk” to one another. Ontology libraries are the systems that collect ontologies from different sources and facilitate the tasks of finding, exploring, and using these ontologies. Thus ontology libraries can serve as a link in enabling diverse users and applications to discover, evaluate, use, and publish ontologies. In this paper, we provide a survey of the growing—and surprisingly diverse—landscape of ontology libraries. We highlight how the varying scope and intended use of the libraries a ects their features, content, and potential exploitation in applications. From reviewing eleven ontology libraries, we identify a core set of questions that ontology practitioners and users should consider in choosing an ontology library for finding ontologies or publishing their own. We also discuss the research challenges that emerge from this survey, for the developers of ontology libraries to address. PMID:22408576

  16. Towards Ontology-Driven Information Systems: Guidelines to the Creation of New Methodologies to Build Ontologies

    ERIC Educational Resources Information Center

    Soares, Andrey

    2009-01-01

    This research targeted the area of Ontology-Driven Information Systems, where ontology plays a central role both at development time and at run time of Information Systems (IS). In particular, the research focused on the process of building domain ontologies for IS modeling. The motivation behind the research was the fact that researchers have…

  17. Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration.

    PubMed

    Ong, Edison; Xiang, Zuoshuang; Zhao, Bin; Liu, Yue; Lin, Yu; Zheng, Jie; Mungall, Chris; Courtot, Mélanie; Ruttenberg, Alan; He, Yongqun

    2017-01-04

    Linked Data (LD) aims to achieve interconnected data by representing entities using Unified Resource Identifiers (URIs), and sharing information using Resource Description Frameworks (RDFs) and HTTP. Ontologies, which logically represent entities and relations in specific domains, are the basis of LD. Ontobee (http://www.ontobee.org/) is a linked ontology data server that stores ontology information using RDF triple store technology and supports query, visualization and linkage of ontology terms. Ontobee is also the default linked data server for publishing and browsing biomedical ontologies in the Open Biological Ontology (OBO) Foundry (http://obofoundry.org) library. Ontobee currently hosts more than 180 ontologies (including 131 OBO Foundry Library ontologies) with over four million terms. Ontobee provides a user-friendly web interface for querying and visualizing the details and hierarchy of a specific ontology term. Using the eXtensible Stylesheet Language Transformation (XSLT) technology, Ontobee is able to dereference a single ontology term URI, and then output RDF/eXtensible Markup Language (XML) for computer processing or display the HTML information on a web browser for human users. Statistics and detailed information are generated and displayed for each ontology listed in Ontobee. In addition, a SPARQL web interface is provided for custom advanced SPARQL queries of one or multiple ontologies. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

  18. How Ontologies are Made: Studying the Hidden Social Dynamics Behind Collaborative Ontology Engineering Projects

    PubMed Central

    Strohmaier, Markus; Walk, Simon; Pöschko, Jan; Lamprecht, Daniel; Tudorache, Tania; Nyulas, Csongor; Musen, Mark A.; Noy, Natalya F.

    2013-01-01

    Traditionally, evaluation methods in the field of semantic technologies have focused on the end result of ontology engineering efforts, mainly, on evaluating ontologies and their corresponding qualities and characteristics. This focus has led to the development of a whole arsenal of ontology-evaluation techniques that investigate the quality of ontologies as a product. In this paper, we aim to shed light on the process of ontology engineering construction by introducing and applying a set of measures to analyze hidden social dynamics. We argue that especially for ontologies which are constructed collaboratively, understanding the social processes that have led to its construction is critical not only in understanding but consequently also in evaluating the ontology. With the work presented in this paper, we aim to expose the texture of collaborative ontology engineering processes that is otherwise left invisible. Using historical change-log data, we unveil qualitative differences and commonalities between different collaborative ontology engineering projects. Explaining and understanding these differences will help us to better comprehend the role and importance of social factors in collaborative ontology engineering projects. We hope that our analysis will spur a new line of evaluation techniques that view ontologies not as the static result of deliberations among domain experts, but as a dynamic, collaborative and iterative process that needs to be understood, evaluated and managed in itself. We believe that advances in this direction would help our community to expand the existing arsenal of ontology evaluation techniques towards more holistic approaches. PMID:24311994

  19. Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration

    PubMed Central

    Ong, Edison; Xiang, Zuoshuang; Zhao, Bin; Liu, Yue; Lin, Yu; Zheng, Jie; Mungall, Chris; Courtot, Mélanie; Ruttenberg, Alan; He, Yongqun

    2017-01-01

    Linked Data (LD) aims to achieve interconnected data by representing entities using Unified Resource Identifiers (URIs), and sharing information using Resource Description Frameworks (RDFs) and HTTP. Ontologies, which logically represent entities and relations in specific domains, are the basis of LD. Ontobee (http://www.ontobee.org/) is a linked ontology data server that stores ontology information using RDF triple store technology and supports query, visualization and linkage of ontology terms. Ontobee is also the default linked data server for publishing and browsing biomedical ontologies in the Open Biological Ontology (OBO) Foundry (http://obofoundry.org) library. Ontobee currently hosts more than 180 ontologies (including 131 OBO Foundry Library ontologies) with over four million terms. Ontobee provides a user-friendly web interface for querying and visualizing the details and hierarchy of a specific ontology term. Using the eXtensible Stylesheet Language Transformation (XSLT) technology, Ontobee is able to dereference a single ontology term URI, and then output RDF/eXtensible Markup Language (XML) for computer processing or display the HTML information on a web browser for human users. Statistics and detailed information are generated and displayed for each ontology listed in Ontobee. In addition, a SPARQL web interface is provided for custom advanced SPARQL queries of one or multiple ontologies. PMID:27733503

  20. Surreptitious, Evolving and Participative Ontology Development: An End-User Oriented Ontology Development Methodology

    ERIC Educational Resources Information Center

    Bachore, Zelalem

    2012-01-01

    Ontology not only is considered to be the backbone of the semantic web but also plays a significant role in distributed and heterogeneous information systems. However, ontology still faces limited application and adoption to date. One of the major problems is that prevailing engineering-oriented methodologies for building ontologies do not…

  1. Ontology Research and Development. Part 1-A Review of Ontology Generation.

    ERIC Educational Resources Information Center

    Ding, Ying; Foo, Schubert

    2002-01-01

    Discusses the role of ontology in knowledge representation, including enabling content-based access, interoperability, communications, and new levels of service on the Semantic Web; reviews current ontology generation studies and projects as well as problems facing such research; and discusses ontology mapping, information extraction, natural…

  2. How Ontologies are Made: Studying the Hidden Social Dynamics Behind Collaborative Ontology Engineering Projects.

    PubMed

    Strohmaier, Markus; Walk, Simon; Pöschko, Jan; Lamprecht, Daniel; Tudorache, Tania; Nyulas, Csongor; Musen, Mark A; Noy, Natalya F

    2013-05-01

    Traditionally, evaluation methods in the field of semantic technologies have focused on the end result of ontology engineering efforts, mainly, on evaluating ontologies and their corresponding qualities and characteristics. This focus has led to the development of a whole arsenal of ontology-evaluation techniques that investigate the quality of ontologies as a product. In this paper, we aim to shed light on the process of ontology engineering construction by introducing and applying a set of measures to analyze hidden social dynamics. We argue that especially for ontologies which are constructed collaboratively, understanding the social processes that have led to its construction is critical not only in understanding but consequently also in evaluating the ontology. With the work presented in this paper, we aim to expose the texture of collaborative ontology engineering processes that is otherwise left invisible. Using historical change-log data, we unveil qualitative differences and commonalities between different collaborative ontology engineering projects. Explaining and understanding these differences will help us to better comprehend the role and importance of social factors in collaborative ontology engineering projects. We hope that our analysis will spur a new line of evaluation techniques that view ontologies not as the static result of deliberations among domain experts, but as a dynamic, collaborative and iterative process that needs to be understood, evaluated and managed in itself. We believe that advances in this direction would help our community to expand the existing arsenal of ontology evaluation techniques towards more holistic approaches.

  3. Surreptitious, Evolving and Participative Ontology Development: An End-User Oriented Ontology Development Methodology

    ERIC Educational Resources Information Center

    Bachore, Zelalem

    2012-01-01

    Ontology not only is considered to be the backbone of the semantic web but also plays a significant role in distributed and heterogeneous information systems. However, ontology still faces limited application and adoption to date. One of the major problems is that prevailing engineering-oriented methodologies for building ontologies do not…

  4. Towards Ontology-Driven Information Systems: Guidelines to the Creation of New Methodologies to Build Ontologies

    ERIC Educational Resources Information Center

    Soares, Andrey

    2009-01-01

    This research targeted the area of Ontology-Driven Information Systems, where ontology plays a central role both at development time and at run time of Information Systems (IS). In particular, the research focused on the process of building domain ontologies for IS modeling. The motivation behind the research was the fact that researchers have…

  5. The ontology of quantum field theory: Structural realism vindicated?

    PubMed

    Glick, David

    2016-10-01

    In this paper I elicit a prediction from structural realism and compare it, not to a historical case, but to a contemporary scientific theory. If structural realism is correct, then we should expect physics to develop theories that fail to provide an ontology of the sort sought by traditional realists. If structure alone is responsible for instrumental success, we should expect surplus ontology to be eliminated. Quantum field theory (QFT) provides the framework for some of the best confirmed theories in science, but debates over its ontology are vexed. Rather than taking a stand on these matters, the structural realist can embrace QFT as an example of just the kind of theory SR should lead us to expect. Yet, it is not clear that QFT meets the structuralist's positive expectation by providing a structure for the world. In particular, the problem of unitarily inequivalent representations threatens to undermine the possibility of QFT providing a unique structure for the world. In response to this problem, I suggest that the structuralist should endorse pluralism about structure.

  6. How to Write and Use the Ontology Requirements Specification Document

    NASA Astrophysics Data System (ADS)

    Suárez-Figueroa, Mari Carmen; Gómez-Pérez, Asunción; Villazón-Terrazas, Boris

    The goal of the ontology requirements specification activity is to state why the ontology is being built, what its intended uses are, who the end-users are, and which requirements the ontology should fulfill. The novelty of this paper lies in the systematization of the ontology requirements specification activity since the paper proposes detailed methodological guidelines for specifying ontology requirements efficiently. These guidelines will help ontology engineers to capture ontology requirements and produce the ontology requirements specification document (ORSD). The ORSD will play a key role during the ontology development process because it facilitates, among other activities, (1) the search and reuse of existing knowledge-aware resources with the aim of re-engineering them into ontologies, (2) the search and reuse of existing ontological resources (ontologies, ontology modules, ontology statements as well as ontology design patterns), and (3) the verification of the ontology along the ontology development. In parallel to the guidelines, we present the ORSD that resulted from the ontology requirements specification activity within the SEEMP project, and how this document facilitated not only the reuse of existing knowledge-aware resources but also the verification of the SEEMP ontologies. Moreover, we present some use cases in which the methodological guidelines proposed here were applied.

  7. The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation

    PubMed Central

    2014-01-01

    Motivation Biomedical ontologists to date have concentrated on ontological descriptions of biomedical entities such as gene products and their attributes, phenotypes and so on. Recently, effort has diversified to descriptions of the laboratory investigations by which these entities were produced. However, much biological insight is gained from the analysis of the data produced from these investigations, and there is a lack of adequate descriptions of the wide range of software that are central to bioinformatics. We need to describe how data are analyzed for discovery, audit trails, provenance and reproducibility. Results The Software Ontology (SWO) is a description of software used to store, manage and analyze data. Input to the SWO has come from beyond the life sciences, but its main focus is the life sciences. We used agile techniques to gather input for the SWO and keep engagement with our users. The result is an ontology that meets the needs of a broad range of users by describing software, its information processing tasks, data inputs and outputs, data formats versions and so on. Recently, the SWO has incorporated EDAM, a vocabulary for describing data and related concepts in bioinformatics. The SWO is currently being used to describe software used in multiple biomedical applications. Conclusion The SWO is another element of the biomedical ontology landscape that is necessary for the description of biomedical entities and how they were discovered. An ontology of software used to analyze data produced by investigations in the life sciences can be made in such a way that it covers the important features requested and prioritized by its users. The SWO thus fits into the landscape of biomedical ontologies and is produced using techniques designed to keep it in line with user’s needs. Availability The Software Ontology is available under an Apache 2.0 license at http://theswo.sourceforge.net/; the Software Ontology blog can be read at http

  8. The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation.

    PubMed

    Malone, James; Brown, Andy; Lister, Allyson L; Ison, Jon; Hull, Duncan; Parkinson, Helen; Stevens, Robert

    2014-01-01

    Biomedical ontologists to date have concentrated on ontological descriptions of biomedical entities such as gene products and their attributes, phenotypes and so on. Recently, effort has diversified to descriptions of the laboratory investigations by which these entities were produced. However, much biological insight is gained from the analysis of the data produced from these investigations, and there is a lack of adequate descriptions of the wide range of software that are central to bioinformatics. We need to describe how data are analyzed for discovery, audit trails, provenance and reproducibility. The Software Ontology (SWO) is a description of software used to store, manage and analyze data. Input to the SWO has come from beyond the life sciences, but its main focus is the life sciences. We used agile techniques to gather input for the SWO and keep engagement with our users. The result is an ontology that meets the needs of a broad range of users by describing software, its information processing tasks, data inputs and outputs, data formats versions and so on. Recently, the SWO has incorporated EDAM, a vocabulary for describing data and related concepts in bioinformatics. The SWO is currently being used to describe software used in multiple biomedical applications. The SWO is another element of the biomedical ontology landscape that is necessary for the description of biomedical entities and how they were discovered. An ontology of software used to analyze data produced by investigations in the life sciences can be made in such a way that it covers the important features requested and prioritized by its users. The SWO thus fits into the landscape of biomedical ontologies and is produced using techniques designed to keep it in line with user's needs. The Software Ontology is available under an Apache 2.0 license at http://theswo.sourceforge.net/; the Software Ontology blog can be read at http://softwareontology.wordpress.com.

  9. dcGOR: an R package for analysing ontologies and protein domain annotations.

    PubMed

    Fang, Hai

    2014-10-01

    I introduce an open-source R package 'dcGOR' to provide the bioinformatics community with the ease to analyse ontologies and protein domain annotations, particularly those in the dcGO database. The dcGO is a comprehensive resource for protein domain annotations using a panel of ontologies including Gene Ontology. Although increasing in popularity, this database needs statistical and graphical support to meet its full potential. Moreover, there are no bioinformatics tools specifically designed for domain ontology analysis. As an add-on package built in the R software environment, dcGOR offers a basic infrastructure with great flexibility and functionality. It implements new data structure to represent domains, ontologies, annotations, and all analytical outputs as well. For each ontology, it provides various mining facilities, including: (i) domain-based enrichment analysis and visualisation; (ii) construction of a domain (semantic similarity) network according to ontology annotations; and (iii) significance analysis for estimating a contact (statistical significance) network. To reduce runtime, most analyses support high-performance parallel computing. Taking as inputs a list of protein domains of interest, the package is able to easily carry out in-depth analyses in terms of functional, phenotypic and diseased relevance, and network-level understanding. More importantly, dcGOR is designed to allow users to import and analyse their own ontologies and annotations on domains (taken from SCOP, Pfam and InterPro) and RNAs (from Rfam) as well. The package is freely available at CRAN for easy installation, and also at GitHub for version control. The dedicated website with reproducible demos can be found at http://supfam.org/dcGOR.

  10. NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation.

    PubMed

    Martínez-Romero, Marcos; Jonquet, Clement; O'Connor, Martin J; Graybeal, John; Pazos, Alejandro; Musen, Mark A

    2017-06-07

    Ontologies and controlled terminologies have become increasingly important in biomedical research. Researchers use ontologies to annotate their data with ontology terms, enabling better data integration and interoperability across disparate datasets. However, the number, variety and complexity of current biomedical ontologies make it cumbersome for researchers to determine which ones to reuse for their specific needs. To overcome this problem, in 2010 the National Center for Biomedical Ontology (NCBO) released the Ontology Recommender, which is a service that receives a biomedical text corpus or a list of keywords and suggests ontologies appropriate for referencing the indicated terms. We developed a new version of the NCBO Ontology Recommender. Called Ontology Recommender 2.0, it uses a novel recommendation approach that evaluates the relevance of an ontology to biomedical text data according to four different criteria: (1) the extent to which the ontology covers the input data; (2) the acceptance of the ontology in the biomedical community; (3) the level of detail of the ontology classes that cover the input data; and (4) the specialization of the ontology to the domain of the input data. Our evaluation shows that the enhanced recommender provides higher quality suggestions than the original approach, providing better coverage of the input data, more detailed information about their concepts, increased specialization for the domain of the input data, and greater acceptance and use in the community. In addition, it provides users with more explanatory information, along with suggestions of not only individual ontologies but also groups of ontologies to use together. It also can be customized to fit the needs of different ontology recommendation scenarios. Ontology Recommender 2.0 suggests relevant ontologies for annotating biomedical text data. It combines the strengths of its predecessor with a range of adjustments and new features that improve its reliability

  11. Logical Gene Ontology Annotations (GOAL): exploring gene ontology annotations with OWL.

    PubMed

    Jupp, Simon; Stevens, Robert; Hoehndorf, Robert

    2012-04-24

    Ontologies such as the Gene Ontology (GO) and their use in annotations make cross species comparisons of genes possible, along with a wide range of other analytical activities. The bio-ontologies community, in particular the Open Biomedical Ontologies (OBO) community, have provided many other ontologies and an increasingly large volume of annotations of gene products that can be exploited in query and analysis. As many annotations with different ontologies centre upon gene products, there is a possibility to explore gene products through multiple ontological perspectives at the same time. Questions could be asked that link a gene product's function, process, cellular location, phenotype and disease. Current tools, such as AmiGO, allow exploration of genes based on their GO annotations, but not through multiple ontological perspectives. In addition, the semantics of these ontology's representations should be able to, through automated reasoning, afford richer query opportunities of the gene product annotations than is currently possible. To do this multi-perspective, richer querying of gene product annotations, we have created the Logical Gene Ontology, or GOAL ontology, in OWL that combines the Gene Ontology, Human Disease Ontology and the Mammalian Phenotype Ontology, together with classes that represent the annotations with these ontologies for mouse gene products. Each mouse gene product is represented as a class, with the appropriate relationships to the GO aspects, phenotype and disease with which it has been annotated. We then use defined classes to query these protein classes through automated reasoning, and to build a complex hierarchy of gene products. We have presented this through a Web interface that allows arbitrary queries to be constructed and the results displayed. This standard use of OWL affords a rich interaction with Gene Ontology, Human Disease Ontology and Mammalian Phenotype Ontology annotations for the mouse, to give a fine partitioning of

  12. High power lasers and their industrial applications; Proceedings of the Meeting, Innsbruck, Austria, Apr. 15-18, 1986

    NASA Astrophysics Data System (ADS)

    Schuoecker, Dieter

    1986-01-01

    Papers are presented on the discharge behavior of an RF excited high power CO2 laser at different excitation frequencies; high power CO2 lasers for materials processing; a semiconductive preionization technique; high power Nd lasers for industrial applications; high power light transmission in optical waveguides; beam delivery systems for high power lasers; and quality control for high power CO2 laser optics. Topics discussed include the monitoring of laser material processes; measuring the quality of high power laser beams; the physics of laser material processing; metal precision drilling with lasers; and the evolution of microstructure for laser clad Fe-Cr-Mn-C alloys. Consideration is given to robotic manipulation for laser processing; laser cutting; the use of the laser versus the electron beam in welding the surface treatments; high power laser safety; and laser protective filters for the visible and near-IR spectrum.

  13. OntologyWidget – a reusable, embeddable widget for easily locating ontology terms

    PubMed Central

    Beauheim, Catherine C; Wymore, Farrell; Nitzberg, Michael; Zachariah, Zachariah K; Jin, Heng; Skene, JH Pate; Ball, Catherine A; Sherlock, Gavin

    2007-01-01

    Background Biomedical ontologies are being widely used to annotate biological data in a computer-accessible, consistent and well-defined manner. However, due to their size and complexity, annotating data with appropriate terms from an ontology is often challenging for experts and non-experts alike, because there exist few tools that allow one to quickly find relevant ontology terms to easily populate a web form. Results We have produced a tool, OntologyWidget, which allows users to rapidly search for and browse ontology terms. OntologyWidget can easily be embedded in other web-based applications. OntologyWidget is written using AJAX (Asynchronous JavaScript and XML) and has two related elements. The first is a dynamic auto-complete ontology search feature. As a user enters characters into the search box, the appropriate ontology is queried remotely for terms that match the typed-in text, and the query results populate a drop-down list with all potential matches. Upon selection of a term from the list, the user can locate this term within a generic and dynamic ontology browser, which comprises the second element of the tool. The ontology browser shows the paths from a selected term to the root as well as parent/child tree hierarchies. We have implemented web services at the Stanford Microarray Database (SMD), which provide the OntologyWidget with access to over 40 ontologies from the Open Biological Ontology (OBO) website [1]. Each ontology is updated weekly. Adopters of the OntologyWidget can either use SMD's web services, or elect to rely on their own. Deploying the OntologyWidget can be accomplished in three simple steps: (1) install Apache Tomcat [2] on one's web server, (2) download and install the OntologyWidget servlet stub that provides access to the SMD ontology web services, and (3) create an html (HyperText Markup Language) file that refers to the OntologyWidget using a simple, well-defined format. Conclusion We have developed OntologyWidget, an easy

  14. Ontodog: a web-based ontology community view generation tool.

    PubMed

    Zheng, Jie; Xiang, Zuoshuang; Stoeckert, Christian J; He, Yongqun

    2014-05-01

    Biomedical ontologies are often very large and complex. Only a subset of the ontology may be needed for a specified application or community. For ontology end users, it is desirable to have community-based labels rather than the labels generated by ontology developers. Ontodog is a web-based system that can generate an ontology subset based on Excel input, and support generation of an ontology community view, which is defined as the whole or a subset of the source ontology with user-specified annotations including user-preferred labels. Ontodog allows users to easily generate community views with minimal ontology knowledge and no programming skills or installation required. Currently >100 ontologies including all OBO Foundry ontologies are available to generate the views based on user needs. We demonstrate the application of Ontodog for the generation of community views using the Ontology for Biomedical Investigations as the source ontology.

  15. Involvement of small-scale dairy farms in an industrial supply chain: when production standards meet farm diversity.

    PubMed

    Bernard, J; Le Gal, P Y; Triomphe, B; Hostiou, N; Moulin, C H

    2011-05-01

    In certain contexts, dairy firms are supplied by small-scale family farms. Firms provide a set of technical and economic recommendations meant to help farmers meet their requirements in terms of the quantity and quality of milk collected. This study analyzes how such recommendations may be adopted by studying six farms in Brazil. All farms are beneficiaries of the country's agrarian reforms, but they differ in terms of how they developed their activities, their resources and their milk collection objectives. First, we built a technical and economic benchmark farm based on recommendations from a dairy firm and farmer advisory institutions. Our analysis of the farms' practices and technical and economic results show that none of the farms in the sample apply all of the benchmark recommendations; however, all farms specialized in dairy production observe the main underlying principles with regard to feeding systems and breeding. The decisive factors in whether the benchmark is adopted and successfully implemented are (i) access to the supply chain when a farmer establishes his activity, (ii) a grasp of reproduction and forage production techniques and (iii) an understanding of dairy cattle feed dietary rationing principles. The technical problems observed in some cases impact the farms' dairy performance and cash position; this can lead to a process of disinvestment. This dynamic of farms facing production standards suggests that the diversity of specialized livestock farmers should be taken into account more effectively through advisory approaches that combine basic zootechnical training with assistance in planning farm activities over the short and medium term.

  16. Semantic similarity between ontologies at different scales

    SciTech Connect

    Zhang, Qingpeng; Haglin, David J.

    2016-04-01

    In the past decade, existing and new knowledge and datasets has been encoded in different ontologies for semantic web and biomedical research. The size of ontologies is often very large in terms of number of concepts and relationships, which makes the analysis of ontologies and the represented knowledge graph computational and time consuming. As the ontologies of various semantic web and biomedical applications usually show explicit hierarchical structures, it is interesting to explore the trade-offs between ontological scales and preservation/precision of results when we analyze ontologies. This paper presents the first effort of examining the capability of this idea via studying the relationship between scaling biomedical ontologies at different levels and the semantic similarity values. We evaluate the semantic similarity between three Gene Ontology slims (Plant, Yeast, and Candida, among which the latter two belong to the same kingdom—Fungi) using four popular measures commonly applied to biomedical ontologies (Resnik, Lin, Jiang-Conrath, and SimRel). The results of this study demonstrate that with proper selection of scaling levels and similarity measures, we can significantly reduce the size of ontologies without losing substantial detail. In particular, the performance of Jiang-Conrath and Lin are more reliable and stable than that of the other two in this experiment, as proven by (a) consistently showing that Yeast and Candida are more similar (as compared to Plant) at different scales, and (b) small deviations of the similarity values after excluding a majority of nodes from several lower scales. This study provides a deeper understanding of the application of semantic similarity to biomedical ontologies, and shed light on how to choose appropriate semantic similarity measures for biomedical engineering.

  17. A Gross Anatomy Ontology for Hymenoptera

    PubMed Central

    Yoder, Matthew J.; Mikó, István; Seltmann, Katja C.; Bertone, Matthew A.; Deans, Andrew R.

    2010-01-01

    Hymenoptera is an extraordinarily diverse lineage, both in terms of species numbers and morphotypes, that includes sawflies, bees, wasps, and ants. These organisms serve critical roles as herbivores, predators, parasitoids, and pollinators, with several species functioning as models for agricultural, behavioral, and genomic research. The collective anatomical knowledge of these insects, however, has been described or referred to by labels derived from numerous, partially overlapping lexicons. The resulting corpus of information—millions of statements about hymenopteran phenotypes—remains inaccessible due to language discrepancies. The Hymenoptera Anatomy Ontology (HAO) was developed to surmount this challenge and to aid future communication related to hymenopteran anatomy. The HAO was built using newly developed interfaces within mx, a Web-based, open source software package, that enables collaborators to simultaneously contribute to an ontology. Over twenty people contributed to the development of this ontology by adding terms, genus differentia, references, images, relationships, and annotations. The database interface returns an Open Biomedical Ontology (OBO) formatted version of the ontology and includes mechanisms for extracting candidate data and for publishing a searchable ontology to the Web. The application tools are subject-agnostic and may be used by others initiating and developing ontologies. The present core HAO data constitute 2,111 concepts, 6,977 terms (labels for concepts), 3,152 relations, 4,361 sensus (links between terms, concepts, and references) and over 6,000 text and graphical annotations. The HAO is rooted with the Common Anatomy Reference Ontology (CARO), in order to facilitate interoperability with and future alignment to other anatomy ontologies, and is available through the OBO Foundry ontology repository and BioPortal. The HAO provides a foundation through which connections between genomic, evolutionary developmental biology

  18. A gross anatomy ontology for hymenoptera.

    PubMed

    Yoder, Matthew J; Mikó, István; Seltmann, Katja C; Bertone, Matthew A; Deans, Andrew R

    2010-12-29

    Hymenoptera is an extraordinarily diverse lineage, both in terms of species numbers and morphotypes, that includes sawflies, bees, wasps, and ants. These organisms serve critical roles as herbivores, predators, parasitoids, and pollinators, with several species functioning as models for agricultural, behavioral, and genomic research. The collective anatomical knowledge of these insects, however, has been described or referred to by labels derived from numerous, partially overlapping lexicons. The resulting corpus of information--millions of statements about hymenopteran phenotypes--remains inaccessible due to language discrepancies. The Hymenoptera Anatomy Ontology (HAO) was developed to surmount this challenge and to aid future communication related to hymenopteran anatomy. The HAO was built using newly developed interfaces within mx, a Web-based, open source software package, that enables collaborators to simultaneously contribute to an ontology. Over twenty people contributed to the development of this ontology by adding terms, genus differentia, references, images, relationships, and annotations. The database interface returns an Open Biomedical Ontology (OBO) formatted version of the ontology and includes mechanisms for extracting candidate data and for publishing a searchable ontology to the Web. The application tools are subject-agnostic and may be used by others initiating and developing ontologies. The present core HAO data constitute 2,111 concepts, 6,977 terms (labels for concepts), 3,152 relations, 4,361 sensus (links between terms, concepts, and references) and over 6,000 text and graphical annotations. The HAO is rooted with the Common Anatomy Reference Ontology (CARO), in order to facilitate interoperability with and future alignment to other anatomy ontologies, and is available through the OBO Foundry ontology repository and BioPortal. The HAO provides a foundation through which connections between genomic, evolutionary developmental biology

  19. Issues in learning an ontology from text

    PubMed Central

    Brewster, Christopher; Jupp, Simon; Luciano, Joanne; Shotton, David; Stevens, Robert D; Zhang, Ziqi

    2009-01-01

    Ontology construction for any domain is a labour intensive and complex process. Any methodology that can reduce the cost and increase efficiency has the potential to make a major impact in the life sciences. This paper describes an experiment in ontology construction from text for the animal behaviour domain. Our objective was to see how much could be done in a simple and relatively rapid manner using a corpus of journal papers. We used a sequence of pre-existing text processing steps, and here describe the different choices made to clean the input, to derive a set of terms and to structure those terms in a number of hierarchies. We describe some of the challenges, especially that of focusing the ontology appropriately given a starting point of a heterogeneous corpus. Using mainly automated techniques, we were able to construct an 18055 term ontology-like structure with 73% recall of animal behaviour terms, but a precision of only 26%. We were able to clean unwanted terms from the nascent ontology using lexico-syntactic patterns that tested the validity of term inclusion within the ontology. We used the same technique to test for subsumption relationships between the remaining terms to add structure to the initially broad and shallow structure we generated. All outputs are available at . We present a systematic method for the initial steps of ontology or structured vocabulary construction for scientific domains that requires limited human effort and can make a contribution both to ontology learning and maintenance. The method is useful both for the exploration of a scientific domain and as a stepping stone towards formally rigourous ontologies. The filtering of recognised terms from a heterogeneous corpus to focus upon those that are the topic of the ontology is identified to be one of the main challenges for research in ontology learning. PMID:19426458

  20. Semantics and metaphysics in informatics: toward an ontology of tasks.

    PubMed

    Figdor, Carrie

    2011-04-01

    This article clarifies three principles that should guide the development of any cognitive ontology. First, that an adequate cognitive ontology depends essentially on an adequate task ontology; second, that the goal of developing a cognitive ontology is independent of the goal of finding neural implementations of the processes referred to in the ontology; and third, that cognitive ontologies are neutral regarding the metaphysical relationship between cognitive and neural processes. Copyright © 2011 Cognitive Science Society, Inc.

  1. Ontology-Driven Information Integration

    NASA Technical Reports Server (NTRS)

    Tissot, Florence; Menzel, Chris

    2005-01-01

    Ontology-driven information integration (ODII) is a method of computerized, automated sharing of information among specialists who have expertise in different domains and who are members of subdivisions of a large, complex enterprise (e.g., an engineering project, a government agency, or a business). In ODII, one uses rigorous mathematical techniques to develop computational models of engineering and/or business information and processes. These models are then used to develop software tools that support the reliable processing and exchange of information among the subdivisions of this enterprise or between this enterprise and other enterprises.

  2. Nosology, ontology and promiscuous realism.

    PubMed

    Binney, Nicholas

    2015-06-01

    Medics may consider worrying about their metaphysics and ontology to be a waste of time. I will argue here that this is not the case. Promiscuous realism is a metaphysical position which holds that multiple, equally valid, classification schemes should be applied to objects (such as patients) to capture different aspects of their complex and heterogeneous nature. As medics at the bedside may need to capture different aspects of their patients' problems, they may need to use multiple classification schemes (multiple nosologies), and thus consider adopting a different metaphysics to the one commonly in use.

  3. Security Ontology for Annotating Resources

    DTIC Science & Technology

    2005-08-31

    RSA SHA- 25 H-CCMAC -Blowfish RPM S TdpAeDES (hasNSALevel &assurance;typeS) u-wMD4 "MD5 CAST Skipjack (hasNSALevel = &assurance;type2) CRAYON ...type3) MD5tMD5 CAST Skipjack (hasNSALevel = &assurance;type2) CRAYON (hasNSALevel = &assurance;type1) 28 C.4. NRL Security Assurance Ontology...34&assurance;Type2"/> </SymmetricAlgorithm> <SymmetricAlgorithm rdf:ID=" CRAYON "> <hasNSALevel rdf:resource="&assurance;Typel"/> </SymmetricAlgori thmn

  4. Institutional profile. The International Society for Cellular Therapy: evolving to meet the demands of the regenerative medicine industry.

    PubMed

    Maziarz, Richard T; Arthurs, Jane; Horwitz, Edwin

    2011-03-01

    The International Society for Cellular Therapy is a global association driving the translation of scientific research to deliver innovative cellular therapies to patients. Established in 1992, its membership and leadership comprises world-class scientists, clinicians, technologists, biotech/pharma and regulatory professionals from 40 countries focused on preclinical and translational aspects of developing cell therapy products. The International Society for Cellular Therapy has evolved in alignment with the maturation of the field of cell therapy and regenerative medicine to create forums for discussion of shared concerns for commercialization of cell therapies and of development of consensus standards, recognizing that true commercialization depends upon the translational scientific community, the regional regulatory and policy institutions, and the technology support and capital investment from industry. It exists to facilitate the international work of many, to spawn new initiatives, and to synergize with other stakeholders to create the best outcome for the many patients across the world depending on the answers and improved health that cellular therapeutics will provide them.

  5. An ontological case base engineering methodology for diabetes management.

    PubMed

    El-Sappagh, Shaker H; El-Masri, Samir; Elmogy, Mohammed; Riad, A M; Saddik, Basema

    2014-08-01

    Ontology engineering covers issues related to ontology development and use. In Case Based Reasoning (CBR) system, ontology plays two main roles; the first as case base and the second as domain ontology. However, the ontology engineering literature does not provide adequate guidance on how to build, evaluate, and maintain ontologies. This paper proposes an ontology engineering methodology to generate case bases in the medical domain. It mainly focuses on the research of case representation in the form of ontology to support the case semantic retrieval and enhance all knowledge intensive CBR processes. A case study on diabetes diagnosis case base will be provided to evaluate the proposed methodology.

  6. Automating Ontological Annotation with WordNet

    SciTech Connect

    Sanfilippo, Antonio P.; Tratz, Stephen C.; Gregory, Michelle L.; Chappell, Alan R.; Whitney, Paul D.; Posse, Christian; Paulson, Patrick R.; Baddeley, Bob L.; Hohimer, Ryan E.; White, Amanda M.

    2006-01-22

    Semantic Web applications require robust and accurate annotation tools that are capable of automating the assignment of ontological classes to words in naturally occurring text (ontological annotation). Most current ontologies do not include rich lexical databases and are therefore not easily integrated with word sense disambiguation algorithms that are needed to automate ontological annotation. WordNet provides a potentially ideal solution to this problem as it offers a highly structured lexical conceptual representation that has been extensively used to develop word sense disambiguation algorithms. However, WordNet has not been designed as an ontology, and while it can be easily turned into one, the result of doing this would present users with serious practical limitations due to the great number of concepts (synonym sets) it contains. Moreover, mapping WordNet to an existing ontology may be difficult and requires substantial labor. We propose to overcome these limitations by developing an analytical platform that (1) provides a WordNet-based ontology offering a manageable and yet comprehensive set of concept classes, (2) leverages the lexical richness of WordNet to give an extensive characterization of concept class in terms of lexical instances, and (3) integrates a class recognition algorithm that automates the assignment of concept classes to words in naturally occurring text. The ensuing framework makes available an ontological annotation platform that can be effectively integrated with intelligence analysis systems to facilitate evidence marshaling and sustain the creation and validation of inference models.

  7. Ontological Annotation with WordNet

    SciTech Connect

    Sanfilippo, Antonio P.; Tratz, Stephen C.; Gregory, Michelle L.; Chappell, Alan R.; Whitney, Paul D.; Posse, Christian; Paulson, Patrick R.; Baddeley, Bob; Hohimer, Ryan E.; White, Amanda M.

    2006-06-06

    Semantic Web applications require robust and accurate annotation tools that are capable of automating the assignment of ontological classes to words in naturally occurring text (ontological annotation). Most current ontologies do not include rich lexical databases and are therefore not easily integrated with word sense disambiguation algorithms that are needed to automate ontological annotation. WordNet provides a potentially ideal solution to this problem as it offers a highly structured lexical conceptual representation that has been extensively used to develop word sense disambiguation algorithms. However, WordNet has not been designed as an ontology, and while it can be easily turned into one, the result of doing this would present users with serious practical limitations due to the great number of concepts (synonym sets) it contains. Moreover, mapping WordNet to an existing ontology may be difficult and requires substantial labor. We propose to overcome these limitations by developing an analytical platform that (1) provides a WordNet-based ontology offering a manageable and yet comprehensive set of concept classes, (2) leverages the lexical richness of WordNet to give an extensive characterization of concept class in terms of lexical instances, and (3) integrates a class recognition algorithm that automates the assignment of concept classes to words in naturally occurring text. The ensuing framework makes available an ontological annotation platform that can be effectively integrated with intelligence analysis systems to facilitate evidence marshaling and sustain the creation and validation of inference models.

  8. Developing Domain Ontologies for Course Content

    ERIC Educational Resources Information Center

    Boyce, Sinead; Pahl, Claus

    2007-01-01

    Ontologies have the potential to play an important role in instructional design and the development of course content. They can be used to represent knowledge about content, supporting instructors in creating content or learners in accessing content in a knowledge-guided way. While ontologies exist for many subject domains, their quality and…

  9. Statistical mechanics of ontology based annotations

    NASA Astrophysics Data System (ADS)

    Hoyle, David C.; Brass, Andrew

    2016-01-01

    We present a statistical mechanical theory of the process of annotating an object with terms selected from an ontology. The term selection process is formulated as an ideal lattice gas model, but in a highly structured inhomogeneous field. The model enables us to explain patterns recently observed in real-world annotation data sets, in terms of the underlying graph structure of the ontology. By relating the external field strengths to the information content of each node in the ontology graph, the statistical mechanical model also allows us to propose a number of practical metrics for assessing the quality of both the ontology, and the annotations that arise from its use. Using the statistical mechanical formalism we also study an ensemble of ontologies of differing size and complexity; an analysis not readily performed using real data alone. Focusing on regular tree ontology graphs we uncover a rich set of scaling laws describing the growth in the optimal ontology size as the number of objects being annotated increases. In doing so we provide a further possible measure for assessment of ontologies.

  10. Ontology Design Patterns as Interfaces (invited)

    NASA Astrophysics Data System (ADS)

    Janowicz, K.

    2015-12-01

    In recent years ontology design patterns (ODP) have gained popularity among knowledge engineers. ODPs are modular but self-contained building blocks that are reusable and extendible. They minimize the amount of ontological commitments and thereby are easier to integrate than large monolithic ontologies. Typically, patterns are not directly used to annotate data or to model certain domain problems but are combined and extended to form data and purpose-driven local ontologies that serve the needs of specific applications or communities. By relying on a common set of patterns these local ontologies can be aligned to improve interoperability and enable federated queries without enforcing a top-down model of the domain. In previous work, we introduced ontological views as layer on top of ontology design patterns to ease the reuse, combination, and integration of patterns. While the literature distinguishes multiple types of patterns, e.g., content patterns or logical patterns, we propose to use them as interfaces here to guide the development of ontology-driven systems.

  11. Ontologies and Information Systems: A Literature Survey

    DTIC Science & Technology

    2011-06-01

    Falcon-AO (LMO + GMO ) [146], and RiMOM [317]. Meta-matching systems include APFEL [76] and eTuner [286]. There also exist frameworks that provide a set...Jian, N., Qu, Y. and Wang, Q. 2005. GMO : A graph matching for ontologies. In Proceedings of the K-CAPWorkshop on Integrating Ontologies, Banff

  12. Developing Domain Ontologies for Course Content

    ERIC Educational Resources Information Center

    Boyce, Sinead; Pahl, Claus

    2007-01-01

    Ontologies have the potential to play an important role in instructional design and the development of course content. They can be used to represent knowledge about content, supporting instructors in creating content or learners in accessing content in a knowledge-guided way. While ontologies exist for many subject domains, their quality and…

  13. Automated Agent Ontology Creation for Distributed Databases

    DTIC Science & Technology

    2004-03-01

    relationships between themselves if one exists. For example, if one agent’s ontology was ‘ NBA ’ and the second agent’s ontology was ‘College Hoops...the two agents should discover their relationship ‘ basketball ’ [28]. The authors’ agents use supervised inductive learning to learn their individual

  14. FROG - Fingerprinting Genomic Variation Ontology.

    PubMed

    Abinaya, E; Narang, Pankaj; Bhardwaj, Anshu

    2015-01-01

    Genetic variations play a crucial role in differential phenotypic outcomes. Given the complexity in establishing this correlation and the enormous data available today, it is imperative to design machine-readable, efficient methods to store, label, search and analyze this data. A semantic approach, FROG: "FingeRprinting Ontology of Genomic variations" is implemented to label variation data, based on its location, function and interactions. FROG has six levels to describe the variation annotation, namely, chromosome, DNA, RNA, protein, variations and interactions. Each level is a conceptual aggregation of logically connected attributes each of which comprises of various properties for the variant. For example, in chromosome level, one of the attributes is location of variation and which has two properties, allosomes or autosomes. Another attribute is variation kind which has four properties, namely, indel, deletion, insertion, substitution. Likewise, there are 48 attributes and 278 properties to capture the variation annotation across six levels. Each property is then assigned a bit score which in turn leads to generation of a binary fingerprint based on the combination of these properties (mostly taken from existing variation ontologies). FROG is a novel and unique method designed for the purpose of labeling the entire variation data generated till date for efficient storage, search and analysis. A web-based platform is designed as a test case for users to navigate sample datasets and generate fingerprints. The platform is available at http://ab-openlab.csir.res.in/frog.

  15. FROG - Fingerprinting Genomic Variation Ontology

    PubMed Central

    Bhardwaj, Anshu

    2015-01-01

    Genetic variations play a crucial role in differential phenotypic outcomes. Given the complexity in establishing this correlation and the enormous data available today, it is imperative to design machine-readable, efficient methods to store, label, search and analyze this data. A semantic approach, FROG: “FingeRprinting Ontology of Genomic variations” is implemented to label variation data, based on its location, function and interactions. FROG has six levels to describe the variation annotation, namely, chromosome, DNA, RNA, protein, variations and interactions. Each level is a conceptual aggregation of logically connected attributes each of which comprises of various properties for the variant. For example, in chromosome level, one of the attributes is location of variation and which has two properties, allosomes or autosomes. Another attribute is variation kind which has four properties, namely, indel, deletion, insertion, substitution. Likewise, there are 48 attributes and 278 properties to capture the variation annotation across six levels. Each property is then assigned a bit score which in turn leads to generation of a binary fingerprint based on the combination of these properties (mostly taken from existing variation ontologies). FROG is a novel and unique method designed for the purpose of labeling the entire variation data generated till date for efficient storage, search and analysis. A web-based platform is designed as a test case for users to navigate sample datasets and generate fingerprints. The platform is available at http://ab-openlab.csir.res.in/frog. PMID:26244889

  16. [Towards a structuring fibrillar ontology].

    PubMed

    Guimberteau, J-C

    2012-10-01

    Over previous decades and centuries, the difficulty encountered in the manner in which the tissue of our bodies is organised, and structured, is clearly explained by the impossibility of exploring it in detail. Since the creation of the microscope, the perception of the basic unity, which is the cell, has been essential in understanding the functioning of reproduction and of transmission, but has not been able to explain the notion of form; since the cells are not everywhere and are not distributed in an apparently balanced manner. The problems that remain are those of form and volume and also of connection. The concept of multifibrillar architecture, shaping the interfibrillar microvolumes in space, represents a solution to all these questions. The architectural structures revealed, made up of fibres, fibrils and microfibrils, from the mesoscopic to the microscopic level, provide the concept of a living form with structural rationalism that permits the association of psychochemical molecular biodynamics and quantum physics: the form can thus be described and interpreted, and a true structural ontology is elaborated from a basic functional unity, which is the microvacuole, the intra and interfibrillar volume of the fractal organisation, and the chaotic distribution. Naturally, new, less linear, less conclusive, and less specific concepts will be implied by this ontology, leading one to believe that the emergence of life takes place under submission to forces that the original form will have imposed and oriented the adaptive finality. Copyright © 2012. Published by Elsevier SAS.

  17. XML, Ontologies, and Their Clinical Applications.

    PubMed

    Yu, Chunjiang; Shen, Bairong

    2016-01-01

    The development of information technology has resulted in its penetration into every area of clinical research. Various clinical systems have been developed, which produce increasing volumes of clinical data. However, saving, exchanging, querying, and exploiting these data are challenging issues. The development of Extensible Markup Language (XML) has allowed the generation of flexible information formats to facilitate the electronic sharing of structured data via networks, and it has been used widely for clinical data processing. In particular, XML is very useful in the fields of data standardization, data exchange, and data integration. Moreover, ontologies have been attracting increased attention in various clinical fields in recent years. An ontology is the basic level of a knowledge representation scheme, and various ontology repositories have been developed, such as Gene Ontology and BioPortal. The creation of these standardized repositories greatly facilitates clinical research in related fields. In this chapter, we discuss the basic concepts of XML and ontologies, as well as their clinical applications.

  18. Versioning System for Distributed Ontology Development

    DTIC Science & Technology

    2016-02-02

    iii Versioning System for Distributed Ontology Development Suresh K. Damodaran  February 02, 2016  Distribution A: Public Release   iv EXECUTIVE...SUMMARY Common Cyber Environment Representation (CCER) is an  ontology  for describing operationally relevant,  and technically representative, cyber...range event environments. Third‐party  ontology  developers as  well as in‐house  ontology  developers contributed to CCER  Ontology . Since the cyber range

  19. An Ontology Based Approach to Information Security

    NASA Astrophysics Data System (ADS)

    Pereira, Teresa; Santos, Henrique

    The semantically structure of knowledge, based on ontology approaches have been increasingly adopted by several expertise from diverse domains. Recently ontologies have been moved from the philosophical and metaphysics disciplines to be used in the construction of models to describe a specific theory of a domain. The development and the use of ontologies promote the creation of a unique standard to represent concepts within a specific knowledge domain. In the scope of information security systems the use of an ontology to formalize and represent the concepts of security information challenge the mechanisms and techniques currently used. This paper intends to present a conceptual implementation model of an ontology defined in the security domain. The model presented contains the semantic concepts based on the information security standard ISO/IEC_JTC1, and their relationships to other concepts, defined in a subset of the information security domain.

  20. An ontology for Xenopus anatomy and development

    PubMed Central

    Segerdell, Erik; Bowes, Jeff B; Pollet, Nicolas; Vize, Peter D

    2008-01-01

    Background The frogs Xenopus laevis and Xenopus (Silurana) tropicalis are model systems that have produced a wealth of genetic, genomic, and developmental information. Xenbase is a model organism database that provides centralized access to this information, including gene function data from high-throughput screens and the scientific literature. A controlled, structured vocabulary for Xenopus anatomy and development is essential for organizing these data. Results We have constructed a Xenopus anatomical ontology that represents the lineage of tissues and the timing of their development. We have classified many anatomical features in a common framework that has been adopted by several model organism database communities. The ontology is available for download at the Open Biomedical Ontologies Foundry . Conclusion The Xenopus Anatomical Ontology will be used to annotate Xenopus gene expression patterns and mutant and morphant phenotypes. Its robust developmental map will enable powerful database searches and data analyses. We encourage community recommendations for updates and improvements to the ontology. PMID:18817563

  1. Applying ontological realism to medically unexplained syndromes.

    PubMed

    Doing-Harris, Kristina; Meystre, Stephane M; Samore, Matthew; Ceusters, Werner

    2013-01-01

    The past decade has witnessed an increased interest in what are called "medically unexplained syndromes" (MUS). We address the question of whether structuring the domain knowledge for MUS can be achieved by applying the principles of Ontological Realism in light of criticisms about their usefulness in areas where science has not yet led to insights univocally endorsed by the relevant communities. We analyzed whether the different perspectives held by MUS researchers can be represented without taking any particular stance and whether existing ontologies based on Ontological Realism can be further built upon. We did not find refutation of the applicability of the principles. We found the Ontology of General Medical Science and Information Artifact Ontology to provide useful frameworks for analyzing certain MUS controversies, although leaving other questions open.

  2. Ontology for Genome Comparison and Genomic Rearrangements

    PubMed Central

    Flanagan, Keith; Stevens, Robert; Pocock, Matthew; Lee, Pete

    2004-01-01

    We present an ontology for describing genomes, genome comparisons, their evolution and biological function. This ontology will support the development of novel genome comparison algorithms and aid the community in discussing genomic evolution. It provides a framework for communication about comparative genomics, and a basis upon which further automated analysis can be built. The nomenclature defined by the ontology will foster clearer communication between biologists, and also standardize terms used by data publishers in the results of analysis programs. The overriding aim of this ontology is the facilitation of consistent annotation of genomes through computational methods, rather than human annotators. To this end, the ontology includes definitions that support computer analysis and automated transfer of annotations between genomes, rather than relying upon human mediation. PMID:18629137

  3. Temporal Ontologies for Geoscience: Alignment Challenges

    NASA Astrophysics Data System (ADS)

    Cox, S. J. D.

    2014-12-01

    Time is a central concept in geoscience. Geologic histories are composed of sequences of geologic processes and events. Calibration of their timing ties a local history into a broader context, and enables correlation of events between locations. The geologic timescale is standardized in the International Chronostratigraphic Chart, which specifies interval names, and calibrations for the ages of the interval boundaries. Time is also a key concept in the world at large. A number of general purpose temporal ontologies have been developed, both stand-alone and as parts of general purpose or upper ontologies. A temporal ontology for geoscience should apply or extend a suitable general purpose temporal ontology. However, geologic time presents two challenges: Geology involves greater spans of time than in other temporal ontologies, inconsistent with the year-month-day/hour-minute-second formalization that is a basic assumption of most general purpose temporal schemes; The geologic timescale is a temporal topology. Its calibration in terms of an absolute (numeric) scale is a scientific issue in its own right supporting a significant community. In contrast, the general purpose temporal ontologies are premised on exact numeric values for temporal position, and do not allow for temporal topology as a primary structure. We have developed an ontology for the geologic timescale to account for these concerns. It uses the ISO 19108 distinctions between different types of temporal reference system, also linking to an explicit temporal topology model. Stratotypes used in the calibration process are modelled as sampling-features following the ISO 19156 Observations and Measurements model. A joint OGC-W3C harmonization project is underway, with standardization of the W3C OWL-Time ontology as one of its tasks. The insights gained from the geologic timescale ontology will assist in development of a general ontology capable of modelling a richer set of use-cases from geoscience.

  4. An Ontological Informatics Framework for Pharmaceutical Product Development: Milling as a Case Study

    ERIC Educational Resources Information Center

    Akkisetty, Venkata Sai Pavan Kumar

    2009-01-01

    Pharmaceutical product development is an expensive, time consuming and information intensive process. Providing the right information at the right time is of great importance in pharmaceutical industry. To achieve this, knowledge management is the approach to deal with the humongous quantity of information. Ontological approach proposed in Venkat…

  5. An Ontological Informatics Framework for Pharmaceutical Product Development: Milling as a Case Study

    ERIC Educational Resources Information Center

    Akkisetty, Venkata Sai Pavan Kumar

    2009-01-01

    Pharmaceutical product development is an expensive, time consuming and information intensive process. Providing the right information at the right time is of great importance in pharmaceutical industry. To achieve this, knowledge management is the approach to deal with the humongous quantity of information. Ontological approach proposed in Venkat…

  6. The MMI Device Ontology: Enabling Sensor Integration

    NASA Astrophysics Data System (ADS)

    Rueda, C.; Galbraith, N.; Morris, R. A.; Bermudez, L. E.; Graybeal, J.; Arko, R. A.; Mmi Device Ontology Working Group

    2010-12-01

    The Marine Metadata Interoperability (MMI) project has developed an ontology for devices to describe sensors and sensor networks. This ontology is implemented in the W3C Web Ontology Language (OWL) and provides an extensible conceptual model and controlled vocabularies for describing heterogeneous instrument types, with different data characteristics, and their attributes. It can help users populate metadata records for sensors; associate devices with their platforms, deployments, measurement capabilities and restrictions; aid in discovery of sensor data, both historic and real-time; and improve the interoperability of observational oceanographic data sets. We developed the MMI Device Ontology following a community-based approach. By building on and integrating other models and ontologies from related disciplines, we sought to facilitate semantic interoperability while avoiding duplication. Key concepts and insights from various communities, including the Open Geospatial Consortium (eg., SensorML and Observations and Measurements specifications), Semantic Web for Earth and Environmental Terminology (SWEET), and W3C Semantic Sensor Network Incubator Group, have significantly enriched the development of the ontology. Individuals ranging from instrument designers, science data producers and consumers to ontology specialists and other technologists contributed to the work. Applications of the MMI Device Ontology are underway for several community use cases. These include vessel-mounted multibeam mapping sonars for the Rolling Deck to Repository (R2R) program and description of diverse instruments on deepwater Ocean Reference Stations for the OceanSITES program. These trials involve creation of records completely describing instruments, either by individual instances or by manufacturer and model. Individual terms in the MMI Device Ontology can be referenced with their corresponding Uniform Resource Identifiers (URIs) in sensor-related metadata specifications (e

  7. Ontologies and tag-statistics

    NASA Astrophysics Data System (ADS)

    Tibély, Gergely; Pollner, Péter; Vicsek, Tamás; Palla, Gergely

    2012-05-01

    Due to the increasing popularity of collaborative tagging systems, the research on tagged networks, hypergraphs, ontologies, folksonomies and other related concepts is becoming an important interdisciplinary area with great potential and relevance for practical applications. In most collaborative tagging systems the tagging by the users is completely ‘flat’, while in some cases they are allowed to define a shallow hierarchy for their own tags. However, usually no overall hierarchical organization of the tags is given, and one of the interesting challenges of this area is to provide an algorithm generating the ontology of the tags from the available data. In contrast, there are also other types of tagged networks available for research, where the tags are already organized into a directed acyclic graph (DAG), encapsulating the ‘is a sub-category of’ type of hierarchy between each other. In this paper, we study how this DAG affects the statistical distribution of tags on the nodes marked by the tags in various real networks. The motivation for this research was the fact that understanding the tagging based on a known hierarchy can help in revealing the hidden hierarchy of tags in collaborative tagging systems. We analyse the relation between the tag-frequency and the position of the tag in the DAG in two large sub-networks of the English Wikipedia and a protein-protein interaction network. We also study the tag co-occurrence statistics by introducing a two-dimensional (2D) tag-distance distribution preserving both the difference in the levels and the absolute distance in the DAG for the co-occurring pairs of tags. Our most interesting finding is that the local relevance of tags in the DAG (i.e. their rank or significance as characterized by, e.g., the length of the branches starting from them) is much more important than their global distance from the root. Furthermore, we also introduce a simple tagging model based on random walks on the DAG, capable of

  8. SPONGY (SPam ONtoloGY): email classification using two-level dynamic ontology.

    PubMed

    Youn, Seongwook

    2014-01-01

    Email is one of common communication methods between people on the Internet. However, the increase of email misuse/abuse has resulted in an increasing volume of spam emails over recent years. An experimental system has been designed and implemented with the hypothesis that this method would outperform existing techniques, and the experimental results showed that indeed the proposed ontology-based approach improves spam filtering accuracy significantly. In this paper, two levels of ontology spam filters were implemented: a first level global ontology filter and a second level user-customized ontology filter. The use of the global ontology filter showed about 91% of spam filtered, which is comparable with other methods. The user-customized ontology filter was created based on the specific user's background as well as the filtering mechanism used in the global ontology filter creation. The main contributions of the paper are (1) to introduce an ontology-based multilevel filtering technique that uses both a global ontology and an individual filter for each user to increase spam filtering accuracy and (2) to create a spam filter in the form of ontology, which is user-customized, scalable, and modularized, so that it can be embedded to many other systems for better performance.

  9. SPONGY (SPam ONtoloGY): Email Classification Using Two-Level Dynamic Ontology

    PubMed Central

    2014-01-01

    Email is one of common communication methods between people on the Internet. However, the increase of email misuse/abuse has resulted in an increasing volume of spam emails over recent years. An experimental system has been designed and implemented with the hypothesis that this method would outperform existing techniques, and the experimental results showed that indeed the proposed ontology-based approach improves spam filtering accuracy significantly. In this paper, two levels of ontology spam filters were implemented: a first level global ontology filter and a second level user-customized ontology filter. The use of the global ontology filter showed about 91% of spam filtered, which is comparable with other methods. The user-customized ontology filter was created based on the specific user's background as well as the filtering mechanism used in the global ontology filter creation. The main contributions of the paper are (1) to introduce an ontology-based multilevel filtering technique that uses both a global ontology and an individual filter for each user to increase spam filtering accuracy and (2) to create a spam filter in the form of ontology, which is user-customized, scalable, and modularized, so that it can be embedded to many other systems for better performance. PMID:25254240

  10. Ontology driven health information systems architectures enable pHealth for empowered patients.

    PubMed

    Blobel, Bernd

    2011-02-01

    The paradigm shift from organization-centered to managed care and on to personal health settings increases specialization and distribution of actors and services related to the health of patients or even citizens before becoming patients. As a consequence, extended communication and cooperation is required between all principals involved in health services such as persons, organizations, devices, systems, applications, and components. Personal health (pHealth) environments range over many disciplines, where domain experts present their knowledge by using domain-specific terminologies and ontologies. Therefore, the mapping of domain ontologies is inevitable for ensuring interoperability. The paper introduces the care paradigms and the related requirements as well as an architectural approach for meeting the business objectives. Furthermore, it discusses some theoretical challenges and practical examples of ontologies, concept and knowledge representations, starting general and then focusing on security and privacy related services. The requirements and solutions for empowering the patient or the citizen before becoming a patient are especially emphasized.

  11. Research on Extension of Sparql Ontology Query Language Considering the Computation of Indoor Spatial Relations

    NASA Astrophysics Data System (ADS)

    Li, C.; Zhu, X.; Guo, W.; Liu, Y.; Huang, H.

    2015-05-01

    A method suitable for indoor complex semantic query considering the computation of indoor spatial relations is provided According to the characteristics of indoor space. This paper designs ontology model describing the space related information of humans, events and Indoor space objects (e.g. Storey and Room) as well as their relations to meet the indoor semantic query. The ontology concepts are used in IndoorSPARQL query language which extends SPARQL syntax for representing and querying indoor space. And four types specific primitives for indoor query, "Adjacent", "Opposite", "Vertical" and "Contain", are defined as query functions in IndoorSPARQL used to support quantitative spatial computations. Also a method is proposed to analysis the query language. Finally this paper adopts this method to realize indoor semantic query on the study area through constructing the ontology model for the study building. The experimental results show that the method proposed in this paper can effectively support complex indoor space semantic query.

  12. Evaluation of need for ontologies to manage domain content for the Reportable Conditions Knowledge Management System.

    PubMed

    Eilbeck, Karen L; Lipstein, Julie; McGarvey, Sunanda; Staes, Catherine J

    2014-01-01

    The Reportable Condition Knowledge Management System (RCKMS) is envisioned to be a single, comprehensive, authoritative, real-time portal to author, view and access computable information about reportable conditions. The system is designed for use by hospitals, laboratories, health information exchanges, and providers to meet public health reporting requirements. The RCKMS Knowledge Representation Workgroup was tasked to explore the need for ontologies to support RCKMS functionality. The workgroup reviewed relevant projects and defined criteria to evaluate candidate knowledge domain areas for ontology development. The use of ontologies is justified for this project to unify the semantics used to describe similar reportable events and concepts between different jurisdictions and over time, to aid data integration, and to manage large, unwieldy datasets that evolve, and are sometimes externally managed.

  13. Evaluation of need for ontologies to manage domain content for the Reportable Conditions Knowledge Management System

    PubMed Central

    Eilbeck, Karen L.; Lipstein, Julie; McGarvey, Sunanda; Staes, Catherine J.

    2014-01-01

    The Reportable Condition Knowledge Management System (RCKMS) is envisioned to be a single, comprehensive, authoritative, real-time portal to author, view and access computable information about reportable conditions. The system is designed for use by hospitals, laboratories, health information exchanges, and providers to meet public health reporting requirements. The RCKMS Knowledge Representation Workgroup was tasked to explore the need for ontologies to support RCKMS functionality. The workgroup reviewed relevant projects and defined criteria to evaluate candidate knowledge domain areas for ontology development. The use of ontologies is justified for this project to unify the semantics used to describe similar reportable events and concepts between different jurisdictions and over time, to aid data integration, and to manage large, unwieldy datasets that evolve, and are sometimes externally managed. PMID:25954354

  14. CiTO, the Citation Typing Ontology

    PubMed Central

    2010-01-01

    CiTO, the Citation Typing Ontology, is an ontology for describing the nature of reference citations in scientific research articles and other scholarly works, both to other such publications and also to Web information resources, and for publishing these descriptions on the Semantic Web. Citation are described in terms of the factual and rhetorical relationships between citing publication and cited publication, the in-text and global citation frequencies of each cited work, and the nature of the cited work itself, including its publication and peer review status. This paper describes CiTO and illustrates its usefulness both for the annotation of bibliographic reference lists and for the visualization of citation networks. The latest version of CiTO, which this paper describes, is CiTO Version 1.6, published on 19 March 2010. CiTO is written in the Web Ontology Language OWL, uses the namespace http://purl.org/net/cito/, and is available from http://purl.org/net/cito/. This site uses content negotiation to deliver to the user an OWLDoc Web version of the ontology if accessed via a Web browser, or the OWL ontology itself if accessed from an ontology management tool such as Protégé 4 (http://protege.stanford.edu/). Collaborative work is currently under way to harmonize CiTO with other ontologies describing bibliographies and the rhetorical structure of scientific discourse. PMID:20626926

  15. A Method for Recommending Ontology Alignment Strategies

    NASA Astrophysics Data System (ADS)

    Tan, He; Lambrix, Patrick

    In different areas ontologies have been developed and many of these ontologies contain overlapping information. Often we would therefore want to be able to use multiple ontologies. To obtain good results, we need to find the relationships between terms in the different ontologies, i.e. we need to align them. Currently, there already exist a number of different alignment strategies. However, it is usually difficult for a user that needs to align two ontologies to decide which of the different available strategies are the most suitable. In this paper we propose a method that provides recommendations on alignment strategies for a given alignment problem. The method is based on the evaluation of the different available alignment strategies on several small selected pieces from the ontologies, and uses the evaluation results to provide recommendations. In the paper we give the basic steps of the method, and then illustrate and discuss the method in the setting of an alignment problem with two well-known biomedical ontologies. We also experiment with different implementations of the steps in the method.

  16. Towards an Ontology of Data Mining Investigations

    NASA Astrophysics Data System (ADS)

    Panov, Panče; Soldatova, Larisa N.; Džeroski, Sašo

    Motivated by the need for unification of the domain of data mining and the demand for formalized representation of outcomes of data mining investigations, we address the task of constructing an ontology of data mining. In this paper we present an updated version of the OntoDM ontology, that is based on a recent proposal of a general framework for data mining and it is aligned with the ontology of biomedical investigations (OBI) . The ontology aims at describing and formalizing entities from the domain of data mining and knowledge discovery. It includes definitions of basic data mining entities (e.g., datatype, dataset, data mining task, data mining algorithm etc.) and allows extensions with more complex data mining entities (e.g. constraints, data mining scenarios and data mining experiments). Unlike most existing approaches to constructing ontologies of data mining, OntoDM is compliant to best practices in engineering ontologies that describe scientific investigations (e.g., OBI ) and is a step towards an ontology of data mining investigations. OntoDM is available at: http://kt.ijs.si/panovp/OntoDM/ .

  17. Ontology-Based Multiple Choice Question Generation

    PubMed Central

    Al-Yahya, Maha

    2014-01-01

    With recent advancements in Semantic Web technologies, a new trend in MCQ item generation has emerged through the use of ontologies. Ontologies are knowledge representation structures that formally describe entities in a domain and their relationships, thus enabling automated inference and reasoning. Ontology-based MCQ item generation is still in its infancy, but substantial research efforts are being made in the field. However, the applicability of these models for use in an educational setting has not been thoroughly evaluated. In this paper, we present an experimental evaluation of an ontology-based MCQ item generation system known as OntoQue. The evaluation was conducted using two different domain ontologies. The findings of this study show that ontology-based MCQ generation systems produce satisfactory MCQ items to a certain extent. However, the evaluation also revealed a number of shortcomings with current ontology-based MCQ item generation systems with regard to the educational significance of an automatically constructed MCQ item, the knowledge level it addresses, and its language structure. Furthermore, for the task to be successful in producing high-quality MCQ items for learning assessments, this study suggests a novel, holistic view that incorporates learning content, learning objectives, lexical knowledge, and scenarios into a single cohesive framework. PMID:24982937

  18. An open annotation ontology for science on web 3.0.

    PubMed

    Ciccarese, Paolo; Ocana, Marco; Garcia Castro, Leyla Jael; Das, Sudeshna; Clark, Tim

    2011-05-17

    There is currently a gap between the rich and expressive collection of published biomedical ontologies, and the natural language expression of biomedical papers consumed on a daily basis by scientific researchers. The purpose of this paper is to provide an open, shareable structure for dynamic integration of biomedical domain ontologies with the scientific document, in the form of an Annotation Ontology (AO), thus closing this gap and enabling application of formal biomedical ontologies directly to the literature as it emerges. Initial requirements for AO were elicited by analysis of integration needs between biomedical web communities, and of needs for representing and integrating results of biomedical text mining. Analysis of strengths and weaknesses of previous efforts in this area was also performed. A series of increasingly refined annotation tools were then developed along with a metadata model in OWL, and deployed for feedback and additional requirements the ontology to users at a major pharmaceutical company and a major academic center. Further requirements and critiques of the model were also elicited through discussions with many colleagues and incorporated into the work. This paper presents Annotation Ontology (AO), an open ontology in OWL-DL for annotating scientific documents on the web. AO supports both human and algorithmic content annotation. It enables "stand-off" or independent metadata anchored to specific positions in a web document by any one of several methods. In AO, the document may be annotated but is not required to be under update control of the annotator. AO contains a provenance model to support versioning, and a set model for specifying groups and containers of annotation. AO is freely available under open source license at http://purl.org/ao/, and extensive documentation including screencasts is available on AO's Google Code page: http://code.google.com/p/annotation-ontology/ . The Annotation Ontology meets critical requirements for

  19. An open annotation ontology for science on web 3.0

    PubMed Central

    2011-01-01

    Annotation Ontology meets critical requirements for an open, freely shareable model in OWL, of annotation metadata created against scientific documents on the Web. We believe AO can become a very useful common model for annotation metadata on Web documents, and will enable biomedical domain ontologies to be used quite widely to annotate the scientific literature. Potential collaborators and those with new relevant use cases are invited to contact the authors. PMID:21624159

  20. The Ontology Definition Metamodel (ODM)

    NASA Astrophysics Data System (ADS)

    Gaševic, Dragan; Djuric, Dragan; Devedžic, Vladan

    There were four separate proposals for the ODM in response to the OMG’s ODM RFP (2003) submitted by the following OMG members: IBM (ODM IBM 2003), Gentleware (ODM Gentleware 2003), DSTC (ODM DSTC 2003), and Sandpiper Software Inc and KSL (ODM Sandpiper&KSL 2003). However, none of those submissions made a comprehensive proposal. For example, none of them proposed XMI bindings for the ODM, none of them proposed mappings between the ODM and OWL, and only IBM (ODM IBM 2003) and Gentleware (ODM Gentleware 2003) proposed an Ontology UML profile. Accordingly, the OMG partners decided to join their efforts, and the current result of their efforts together, is the ODM joint submission (OMG ODM 2004).

  1. Nuclear Nonproliferation Ontology Assessment Team Final Report

    SciTech Connect

    Strasburg, Jana D.; Hohimer, Ryan E.

    2012-01-01

    Final Report for the NA22 Simulations, Algorithm and Modeling (SAM) Ontology Assessment Team's efforts from FY09-FY11. The Ontology Assessment Team began in May 2009 and concluded in September 2011. During this two-year time frame, the Ontology Assessment team had two objectives: (1) Assessing the utility of knowledge representation and semantic technologies for addressing nuclear nonproliferation challenges; and (2) Developing ontological support tools that would provide a framework for integrating across the Simulation, Algorithm and Modeling (SAM) program. The SAM Program was going through a large assessment and strategic planning effort during this time and as a result, the relative importance of these two objectives changed, altering the focus of the Ontology Assessment Team. In the end, the team conducted an assessment of the state of art, created an annotated bibliography, and developed a series of ontological support tools, demonstrations and presentations. A total of more than 35 individuals from 12 different research institutions participated in the Ontology Assessment Team. These included subject matter experts in several nuclear nonproliferation-related domains as well as experts in semantic technologies. Despite the diverse backgrounds and perspectives, the Ontology Assessment team functioned very well together and aspects could serve as a model for future inter-laboratory collaborations and working groups. While the team encountered several challenges and learned many lessons along the way, the Ontology Assessment effort was ultimately a success that led to several multi-lab research projects and opened up a new area of scientific exploration within the Office of Nuclear Nonproliferation and Verification.

  2. A Knowledge Engineering Approach to Develop Domain Ontology

    ERIC Educational Resources Information Center

    Yun, Hongyan; Xu, Jianliang; Xiong, Jing; Wei, Moji

    2011-01-01

    Ontologies are one of the most popular and widespread means of knowledge representation and reuse. A few research groups have proposed a series of methodologies for developing their own standard ontologies. However, because this ontological construction concerns special fields, there is no standard method to build domain ontology. In this paper,…

  3. A Knowledge Engineering Approach to Develop Domain Ontology

    ERIC Educational Resources Information Center

    Yun, Hongyan; Xu, Jianliang; Xiong, Jing; Wei, Moji

    2011-01-01

    Ontologies are one of the most popular and widespread means of knowledge representation and reuse. A few research groups have proposed a series of methodologies for developing their own standard ontologies. However, because this ontological construction concerns special fields, there is no standard method to build domain ontology. In this paper,…

  4. Hierarchical Analysis of the Omega Ontology

    SciTech Connect

    Joslyn, Cliff A.; Paulson, Patrick R.

    2009-12-01

    Initial delivery for mathematical analysis of the Omega Ontology. We provide an analysis of the hierarchical structure of a version of the Omega Ontology currently in use within the US Government. After providing an initial statistical analysis of the distribution of all link types in the ontology, we then provide a detailed order theoretical analysis of each of the four main hierarchical links present. This order theoretical analysis includes the distribution of components and their properties, their parent/child and multiple inheritance structure, and the distribution of their vertical ranks.

  5. Beyond the Ontology Definition Metamodel: Applications

    NASA Astrophysics Data System (ADS)

    Gaševic, Dragan; Djuric, Dragan; Devedžic, Vladan

    The previous chapters provided a detailed overview of the elements defined in the ODM specification, along with possible tool support and examples of the developed ontologies. In this chapter, we analyze the research results that go beyond the ODM specification and focus on several different applications of the ODM. We start with a description of the first implementation of ODM. Next, we analyze how the ODM-based metamodels can be used for model driven engineering of ontology reasoners. Finally, we show how the ODM is applied in collaboration with many other different languages. This includes UML, programming languages, Semantic Web ontology, and rule languages.

  6. Ontological Stratification in an Ecology of Infohabitants

    NASA Astrophysics Data System (ADS)

    Abramov, V. A.; Goossenaerts, J. B. M.; de Wilde, P.; Correia, L.

    This paper reports progress from the EEII research project where ontological stratification is applied in the study of openness. We explain a stratification approach to reduce the overall complexity of conceptual models, and to enhance their modularity. A distinction is made between ontological and epistemological stratification. The application of the stratification approach to agent system design is explained and illustrated. A preliminary characterization of the relevant strata is given. The wider relevance of this result for information infrastructure design is addressed: ontological stratification will be key to the model management and semantic interoperability in a ubiquitous and model driven information infrastructure.

  7. Tertiary Education requirements in the geosciences for the minerals industry and in the environmental field to meet the demands of the 21st century in South Africa

    NASA Astrophysics Data System (ADS)

    Viljoen, Morris J.

    1999-05-01

    South and southern Africa are currently facing a major skills shortage in the applied earth sciences, particularly in the minerals industry and in the environmental field. This paper offers outlines of course curricula, developed in South Africa, which are designed to meet these needs. It is argued that insufficient time is devoted to applied geology in degree courses in South Africa and that appropriate specialisations should be introduced into the third and fourth years of Earth Science degrees. More detailed specialisation should be offered at master's level. Examples of such courses currently run in South Africa are cited. The important contribution of the earth sciences to contemporary environmental issues is stressed and the need for environmental geologists emphasised. It is argued that the huge amount of information essential to environmental geology requires postgraduate level teaching of this subject. An example of such a master's level course is taken from a course planned at the University of the Witwatersrand. Courses similar to those being developed in southern Africa need to be developed in other African regions.

  8. Matching arthropod anatomy ontologies to the Hymenoptera Anatomy Ontology: results from a manual alignment

    PubMed Central

    Bertone, Matthew A.; Mikó, István; Yoder, Matthew J.; Seltmann, Katja C.; Balhoff, James P.; Deans, Andrew R.

    2013-01-01

    Matching is an important step for increasing interoperability between heterogeneous ontologies. Here, we present alignments we produced as domain experts, using a manual mapping process, between the Hymenoptera Anatomy Ontology and other existing arthropod anatomy ontologies (representing spiders, ticks, mosquitoes and Drosophila melanogaster). The resulting alignments contain from 43 to 368 mappings (correspondences), all derived from domain-expert input. Despite the many pairwise correspondences, only 11 correspondences were found in common between all ontologies, suggesting either major intrinsic differences between each ontology or gaps in representing each group’s anatomy. Furthermore, we compare our findings with putative correspondences from Bioportal (derived from LOOM software) and summarize the results in a total evidence alignment. We briefly discuss characteristics of the ontologies and issues with the matching process. Database URL: http://purl.obolibrary.org/obo/hao/2012-07-18/arthropod-mappings.obo PMID:23303300

  9. Matching arthropod anatomy ontologies to the Hymenoptera Anatomy Ontology: results from a manual alignment.

    PubMed

    Bertone, Matthew A; Mikó, István; Yoder, Matthew J; Seltmann, Katja C; Balhoff, James P; Deans, Andrew R

    2013-01-01

    Matching is an important step for increasing interoperability between heterogeneous ontologies. Here, we present alignments we produced as domain experts, using a manual mapping process, between the Hymenoptera Anatomy Ontology and other existing arthropod anatomy ontologies (representing spiders, ticks, mosquitoes and Drosophila melanogaster). The resulting alignments contain from 43 to 368 mappings (correspondences), all derived from domain-expert input. Despite the many pairwise correspondences, only 11 correspondences were found in common between all ontologies, suggesting either major intrinsic differences between each ontology or gaps in representing each group's anatomy. Furthermore, we compare our findings with putative correspondences from Bioportal (derived from LOOM software) and summarize the results in a total evidence alignment. We briefly discuss characteristics of the ontologies and issues with the matching process.

  10. An empirical analysis of ontology reuse in BioPortal.

    PubMed

    Ochs, Christopher; Perl, Yehoshua; Geller, James; Arabandi, Sivaram; Tudorache, Tania; Musen, Mark A

    2017-07-01

    Biomedical ontologies often reuse content (i.e., classes and properties) from other ontologies. Content reuse enables a consistent representation of a domain and reusing content can save an ontology author significant time and effort. Prior studies have investigated the existence of reused terms among the ontologies in the NCBO BioPortal, but as of yet there has not been a study investigating how the ontologies in BioPortal utilize reused content in the modeling of their own content. In this study we investigate how 355 ontologies hosted in the NCBO BioPortal reuse content from other ontologies for the purposes of creating new ontology content. We identified 197 ontologies that reuse content. Among these ontologies, 108 utilize reused classes in the modeling of their own classes and 116 utilize reused properties in class restrictions. Current utilization of reuse and quality issues related to reuse are discussed. Copyright © 2017 Elsevier Inc. All rights reserved.

  11. PREFACE: Selected contributions from the 3rd Theory Meets Industry International Workshop, TMI2009 (Nagoya, Japan, 11-13 November 2009) Selected contributions from the 3rd Theory Meets Industry International Workshop, TMI2009 (Nagoya, Japan, 11-13 November 2009)

    NASA Astrophysics Data System (ADS)

    Tanaka, Isao; Hafner, Jürgen; Wimmer, Erich; Asahi, Ryoji

    2010-09-01

    The structures, physicochemical and thermodynamic properties of materials are becoming increasingly amenable to treatment by first-principles (ab initio) quantum mechanical simulations. Calculations containing a few hundred atoms are now routine, thanks to improvements in computer technology and computational techniques. Schemes to determine electronic structures more accurately and to treat more complex systems continue to be developed. A growing number of scientists and engineers are becoming aware of the power of these approaches. By applying these new computational tools, materials science and technology is expected to enter a new era of accelerated progress and efficiency. In 1998 the first workshop entitled 'Theory Meets Industry' (TMI) was held at the Vienna University of Technology. The aim of the workshop was to direct the potential of the ab initio simulation codes developed in academia towards the necessities arising from industrial research. Over the next decade, significant advances in ab initio methodology and its application to academic and industrial research were achieved. It was thus considered timely to hold a second TMI workshop in 2007, again in Vienna. The contributions from academia concentrated on a wide range of new developments in ab initio simulations, as well as on applications at the forefront of materials research. Speakers from the industrial sector also emphasized the progress made in successfully applying ab initiotechniques to key areas of modern technology. The proceedings were published in Journal of Physics: Condensed Matter as a special issue (volume 20, number 6, 2008), which was included in the 'Top papers 2008 showcase' of that journal. Following the notable success of the first two workshops, it was decided that the third TMI workshop would be held outside Europe. Holding the workshop in Japan was intended to increase awareness of theoretical materials science and foster further international collaboration in this field

  12. The ontology-based answers (OBA) service: a connector for embedded usage of ontologies in applications

    PubMed Central

    Dönitz, Jürgen; Wingender, Edgar

    2012-01-01

    The semantic web depends on the use of ontologies to let electronic systems interpret contextual information. Optimally, the handling and access of ontologies should be completely transparent to the user. As a means to this end, we have developed a service that attempts to bridge the gap between experts in a certain knowledge domain, ontologists, and application developers. The ontology-based answers (OBA) service introduced here can be embedded into custom applications to grant access to the classes of ontologies and their relations as most important structural features as well as to information encoded in the relations between ontology classes. Thus computational biologists can benefit from ontologies without detailed knowledge about the respective ontology. The content of ontologies is mapped to a graph of connected objects which is compatible to the object-oriented programming style in Java. Semantic functions implement knowledge about the complex semantics of an ontology beyond the class hierarchy and “partOf” relations. By using these OBA functions an application can, for example, provide a semantic search function, or (in the examples outlined) map an anatomical structure to the organs it belongs to. The semantic functions relieve the application developer from the necessity of acquiring in-depth knowledge about the semantics and curation guidelines of the used ontologies by implementing the required knowledge. The architecture of the OBA service encapsulates the logic to process ontologies in order to achieve a separation from the application logic. A public server with the current plugins is available and can be used with the provided connector in a custom application in scenarios analogous to the presented use cases. The server and the client are freely available if a project requires the use of custom plugins or non-public ontologies. The OBA service and further documentation is available at http://www.bioinf.med.uni-goettingen.de/projects/oba PMID

  13. A top-level ontology of functions and its application in the Open Biomedical Ontologies.

    PubMed

    Burek, Patryk; Hoehndorf, Robert; Loebe, Frank; Visagie, Johann; Herre, Heinrich; Kelso, Janet

    2006-07-15

    A clear understanding of functions in biology is a key component in accurate modelling of molecular, cellular and organismal biology. Using the existing biomedical ontologies it has been impossible to capture the complexity of the community's knowledge about biological functions. We present here a top-level ontological framework for representing knowledge about biological functions. This framework lends greater accuracy, power and expressiveness to biomedical ontologies by providing a means to capture existing functional knowledge in a more formal manner. An initial major application of the ontology of functions is the provision of a principled way in which to curate functional knowledge and annotations in biomedical ontologies. Further potential applications include the facilitation of ontology interoperability and automated reasoning. A major advantage of the proposed implementation is that it is an extension to existing biomedical ontologies, and can be applied without substantial changes to these domain ontologies. The Ontology of Functions (OF) can be downloaded in OWL format from http://onto.eva.mpg.de/. Additionally, a UML profile and supplementary information and guides for using the OF can be accessed from the same website.

  14. Probabilistic Ontology Architecture for a Terrorist Identification Decision Support System

    DTIC Science & Technology

    2014-06-01

    ontology is used to capture consensual knowledge about a domain of interest [8]. Selection of the appropriate ontological engineering methodology is...Ontological engineering ensures the development of an explicit, logical and defensible ontologies for knowledge - sharing and reuse that will be...extended to become the TIDPO. 4) Ontological Learning. There are several methods to aid in the knowledge acquisition process required to build an

  15. Modeling biochemical pathways in the gene ontology

    SciTech Connect

    Hill, David P.; D’Eustachio, Peter; Berardini, Tanya Z.; Mungall, Christopher J.; Renedo, Nikolai; Blake, Judith A.

    2016-09-01

    The concept of a biological pathway, an ordered sequence of molecular transformations, is used to collect and represent molecular knowledge for a broad span of organismal biology. Representations of biomedical pathways typically are rich but idiosyncratic presentations of organized knowledge about individual pathways. Meanwhile, biomedical ontologies and associated annotation files are powerful tools that organize molecular information in a logically rigorous form to support computational analysis. The Gene Ontology (GO), representing Molecular Functions, Biological Processes and Cellular Components, incorporates many aspects of biological pathways within its ontological representations. Here we present a methodology for extending and refining the classes in the GO for more comprehensive, consistent and integrated representation of pathways, leveraging knowledge embedded in current pathway representations such as those in the Reactome Knowledgebase and MetaCyc. With carbohydrate metabolic pathways as a use case, we discuss how our representation supports the integration of variant pathway classes into a unified ontological structure that can be used for data comparison and analysis.

  16. The Gene Ontology: enhancements for 2011.

    PubMed

    2012-01-01

    The Gene Ontology (GO) (http://www.geneontology.org) is a community bioinformatics resource that represents gene product function through the use of structured, controlled vocabularies. The number of GO annotations of gene products has increased due to curation efforts among GO Consortium (GOC) groups, including focused literature-based annotation and ortholog-based functional inference. The GO ontologies continue to expand and improve as a result of targeted ontology development, including the introduction of computable logical definitions and development of new tools for the streamlined addition of terms to the ontology. The GOC continues to support its user community through the use of e-mail lists, social media and web-based resources.

  17. The Gene Ontology: enhancements for 2011

    PubMed Central

    2012-01-01

    The Gene Ontology (GO) (http://www.geneontology.org) is a community bioinformatics resource that represents gene product function through the use of structured, controlled vocabularies. The number of GO annotations of gene products has increased due to curation efforts among GO Consortium (GOC) groups, including focused literature-based annotation and ortholog-based functional inference. The GO ontologies continue to expand and improve as a result of targeted ontology development, including the introduction of computable logical definitions and development of new tools for the streamlined addition of terms to the ontology. The GOC continues to support its user community through the use of e-mail lists, social media and web-based resources. PMID:22102568

  18. Combining machine learning and ontological data handling for multi-source classification of nature conservation areas

    NASA Astrophysics Data System (ADS)

    Moran, Niklas; Nieland, Simon; Tintrup gen. Suntrup, Gregor; Kleinschmit, Birgit

    2017-02-01

    Manual field surveys for nature conservation management are expensive and time-consuming and could be supplemented and streamlined by using Remote Sensing (RS). RS is critical to meet requirements of existing laws such as the EU Habitats Directive (HabDir) and more importantly to meet future challenges. The full potential of RS has yet to be harnessed as different nomenclatures and procedures hinder interoperability, comparison and provenance. Therefore, automated tools are needed to use RS data to produce comparable, empirical data outputs that lend themselves to data discovery and provenance. These issues are addressed by a novel, semi-automatic ontology-based classification method that uses machine learning algorithms and Web Ontology Language (OWL) ontologies that yields traceable, interoperable and observation-based classification outputs. The method was tested on European Union Nature Information System (EUNIS) grasslands in Rheinland-Palatinate, Germany. The developed methodology is a first step in developing observation-based ontologies in the field of nature conservation. The tests show promising results for the determination of the grassland indicators wetness and alkalinity with an overall accuracy of 85% for alkalinity and 76% for wetness.

  19. The pathway ontology - updates and applications.

    PubMed

    Petri, Victoria; Jayaraman, Pushkala; Tutaj, Marek; Hayman, G Thomas; Smith, Jennifer R; De Pons, Jeff; Laulederkind, Stanley Jf; Lowry, Timothy F; Nigam, Rajni; Wang, Shur-Jen; Shimoyama, Mary; Dwinell, Melinda R; Munzenmaier, Diane H; Worthey, Elizabeth A; Jacob, Howard J

    2014-02-05

    The Pathway Ontology (PW) developed at the Rat Genome Database (RGD), covers all types of biological pathways, including altered and disease pathways and captures the relationships between them within the hierarchical structure of a directed acyclic graph. The ontology allows for the standardized annotation of rat, and of human and mouse genes to pathway terms. It also constitutes a vehicle for easy navigation between gene and ontology report pages, between reports and interactive pathway diagrams, between pathways directly connected within a diagram and between those that are globally related in pathway suites and suite networks. Surveys of the literature and the development of the Pathway and Disease Portals are important sources for the ongoing development of the ontology. User requests and mapping of pathways in other databases to terms in the ontology further contribute to increasing its content. Recently built automated pipelines use the mapped terms to make available the annotations generated by other groups. The two released pipelines - the Pathway Interaction Database (PID) Annotation Import Pipeline and the Kyoto Encyclopedia of Genes and Genomes (KEGG) Annotation Import Pipeline, make available over 7,400 and 31,000 pathway gene annotations, respectively. Building the PID pipeline lead to the addition of new terms within the signaling node, also augmented by the release of the RGD "Immune and Inflammatory Disease Portal" at that time. Building the KEGG pipeline lead to a substantial increase in the number of disease pathway terms, such as those within the 'infectious disease pathway' parent term category. The 'drug pathway' node has also seen increases in the number of terms as well as a restructuring of the node. Literature surveys, disease portal deployments and user requests have contributed and continue to contribute additional new terms across the ontology. Since first presented, the content of PW has increased by over 75%. Ongoing development of

  20. The pathway ontology – updates and applications

    PubMed Central

    2014-01-01

    Background The Pathway Ontology (PW) developed at the Rat Genome Database (RGD), covers all types of biological pathways, including altered and disease pathways and captures the relationships between them within the hierarchical structure of a directed acyclic graph. The ontology allows for the standardized annotation of rat, and of human and mouse genes to pathway terms. It also constitutes a vehicle for easy navigation between gene and ontology report pages, between reports and interactive pathway diagrams, between pathways directly connected within a diagram and between those that are globally related in pathway suites and suite networks. Surveys of the literature and the development of the Pathway and Disease Portals are important sources for the ongoing development of the ontology. User requests and mapping of pathways in other databases to terms in the ontology further contribute to increasing its content. Recently built automated pipelines use the mapped terms to make available the annotations generated by other groups. Results The two released pipelines – the Pathway Interaction Database (PID) Annotation Import Pipeline and the Kyoto Encyclopedia of Genes and Genomes (KEGG) Annotation Import Pipeline, make available over 7,400 and 31,000 pathway gene annotations, respectively. Building the PID pipeline lead to the addition of new terms within the signaling node, also augmented by the release of the RGD “Immune and Inflammatory Disease Portal” at that time. Building the KEGG pipeline lead to a substantial increase in the number of disease pathway terms, such as those within the ‘infectious disease pathway’ parent term category. The ‘drug pathway’ node has also seen increases in the number of terms as well as a restructuring of the node. Literature surveys, disease portal deployments and user requests have contributed and continue to contribute additional new terms across the ontology. Since first presented, the content of PW has increased by

  1. GFVO: the Genomic Feature and Variation Ontology.

    PubMed

    Baran, Joachim; Durgahee, Bibi Sehnaaz Begum; Eilbeck, Karen; Antezana, Erick; Hoehndorf, Robert; Dumontier, Michel

    2015-01-01

    Falling costs in genomic laboratory experiments have led to a steady increase of genomic feature and variation data. Multiple genomic data formats exist for sharing these data, and whilst they are similar, they are addressing slightly different data viewpoints and are consequently not fully compatible with each other. The fragmentation of data format specifications makes it hard to integrate and interpret data for further analysis with information from multiple data providers. As a solution, a new ontology is presented here for annotating and representing genomic feature and variation dataset contents. The Genomic Feature and Variation Ontology (GFVO) specifically addresses genomic data as it is regularly shared using the GFF3 (incl. FASTA), GTF, GVF and VCF file formats. GFVO simplifies data integration and enables linking of genomic annotations across datasets through common semantics of genomic types and relations. Availability and implementation. The latest stable release of the ontology is available via its base URI; previous and development versions are available at the ontology's GitHub repository: https://github.com/BioInterchange/Ontologies; versions of the ontology are indexed through BioPortal (without external class-/property-equivalences due to BioPortal release 4.10 limitations); examples and reference documentation is provided on a separate web-page: http://www.biointerchange.org/ontologies.html. GFVO version 1.0.2 is licensed under the CC0 1.0 Universal license (https://creativecommons.org/publicdomain/zero/1.0) and therefore de facto within the public domain; the ontology can be appropriated without attribution for commercial and non-commercial use.

  2. A Chronostratigraphic Relational Database Ontology

    NASA Astrophysics Data System (ADS)

    Platon, E.; Gary, A.; Sikora, P.

    2005-12-01

    A chronostratigraphic research database was donated by British Petroleum to the Stratigraphy Group at the Energy and Geoscience Institute (EGI), University of Utah. These data consists of over 2,000 measured sections representing over three decades of research into the application of the graphic correlation method. The data are global and includes both microfossil (foraminifera, calcareous nannoplankton, spores, pollen, dinoflagellate cysts, etc) and macrofossil data. The objective of the donation was to make the research data available to the public in order to encourage additional chronostratigraphy studies, specifically regarding graphic correlation. As part of the National Science Foundation's Cyberinfrastructure for the Geosciences (GEON) initiative these data have been made available to the public at http://css.egi.utah.edu. To encourage further research using the graphic correlation method, EGI has developed a software package, StrataPlot that will soon be publicly available from the GEON website as a standalone software download. The EGI chronostratigraphy research database, although relatively large, has many data holes relative to some paleontological disciplines and geographical areas, so the challenge becomes how do we expand the data available for chronostratigrahic studies using graphic correlation. There are several public or soon-to-be public databases available to chronostratigraphic research, but they have their own data structures and modes of presentation. The heterogeneous nature of these database schemas hinders their integration and makes it difficult for the user to retrieve and consolidate potentially valuable chronostratigraphic data. The integration of these data sources would facilitate rapid and comprehensive data searches, thus helping advance studies in chronostratigraphy. The GEON project will host a number of databases within the geology domain, some of which contain biostratigraphic data. Ontologies are being developed to provide

  3. An ontology for major histocompatibility restriction.

    PubMed

    Vita, Randi; Overton, James A; Seymour, Emily; Sidney, John; Kaufman, Jim; Tallmadge, Rebecca L; Ellis, Shirley; Hammond, John; Butcher, Geoff W; Sette, Alessandro; Peters, Bjoern

    2016-01-01

    MHC molecules are a highly diverse family of proteins that play a key role in cellular immune recognition. Over time, different techniques and terminologies have been developed to identify the specific type(s) of MHC molecule involved in a specific immune recognition context. No consistent nomenclature exists across different vertebrate species. To correctly represent MHC related data in The Immune Epitope Database (IEDB), we built upon a previously established MHC ontology and created an ontology to represent MHC molecules as they relate to immunological experiments. This ontology models MHC protein chains from 16 species, deals with different approaches used to identify MHC, such as direct sequencing verses serotyping, relates engineered MHC molecules to naturally occurring ones, connects genetic loci, alleles, protein chains and multi-chain proteins, and establishes evidence codes for MHC restriction. Where available, this work is based on existing ontologies from the OBO foundry. Overall, representing MHC molecules provides a challenging and practically important test case for ontology building, and could serve as an example of how to integrate other ontology building efforts into web resources.

  4. Ontological Modeling for Integrated Spacecraft Analysis

    NASA Technical Reports Server (NTRS)

    Wicks, Erica

    2011-01-01

    Current spacecraft work as a cooperative group of a number of subsystems. Each of these requiresmodeling software for development, testing, and prediction. It is the goal of my team to create anoverarching software architecture called the Integrated Spacecraft Analysis (ISCA) to aid in deploying the discrete subsystems' models. Such a plan has been attempted in the past, and has failed due to the excessive scope of the project. Our goal in this version of ISCA is to use new resources to reduce the scope of the project, including using ontological models to help link the internal interfaces of subsystems' models with the ISCA architecture.I have created an ontology of functions specific to the modeling system of the navigation system of a spacecraft. The resulting ontology not only links, at an architectural level, language specificinstantiations of the modeling system's code, but also is web-viewable and can act as a documentation standard. This ontology is proof of the concept that ontological modeling can aid in the integration necessary for ISCA to work, and can act as the prototype for future ISCA ontologies.

  5. An Approach to Support Collaborative Ontology Construction.

    PubMed

    Tahar, Kais; Schaaf, Michael; Jahn, Franziska; Kücherer, Christian; Paech, Barbara; Herre, Heinrich; Winter, Alfred

    2016-01-01

    The increasing number of terms used in textbooks for information management (IM) in hospitals makes it difficult for medical informatics students to grasp IM concepts and their interrelations. Formal ontologies which comprehend and represent the essential content of textbooks can facilitate the learning process in IM education. The manual construction of such ontologies is time-consuming and thus very expensive [3]. Moreover, most domain experts lack skills in using a formal language like OWL [2] and usually have no experience with standard editing tools like Protégé http://protege.stanford.edu [4,5]. This paper presents an ontology modeling approach based on Excel2OWL, a self-developed tool which efficiently supports domain experts in collaboratively constructing ontologies from textbooks. This approach was applied to classic IM textbooks, resulting in an ontology called SNIK. Our method facilitates the collaboration between domain experts and ontologists in the development process. Furthermore, the proposed approach enables ontologists to detect modeling errors and also to evaluate and improve the quality of the resulting ontology rapidly. This approach allows us to visualize the modeled textbooks and to analyze their semantics automatically. Hence, it can be used for e-learning purposes, particularly in the field of IM in hospitals.

  6. COHeRE: Cross-Ontology Hierarchical Relation Examination for Ontology Quality Assurance.

    PubMed

    Cui, Licong

    Biomedical ontologies play a vital role in healthcare information management, data integration, and decision support. Ontology quality assurance (OQA) is an indispensable part of the ontology engineering cycle. Most existing OQA methods are based on the knowledge provided within the targeted ontology. This paper proposes a novel cross-ontology analysis method, Cross-Ontology Hierarchical Relation Examination (COHeRE), to detect inconsistencies and possible errors in hierarchical relations across multiple ontologies. COHeRE leverages the Unified Medical Language System (UMLS) knowledge source and the MapReduce cloud computing technique for systematic, large-scale ontology quality assurance work. COHeRE consists of three main steps with the UMLS concepts and relations as the input. First, the relations claimed in source vocabularies are filtered and aggregated for each pair of concepts. Second, inconsistent relations are detected if a concept pair is related by different types of relations in different source vocabularies. Finally, the uncovered inconsistent relations are voted according to their number of occurrences across different source vocabularies. The voting result together with the inconsistent relations serve as the output of COHeRE for possible ontological change. The highest votes provide initial suggestion on how such inconsistencies might be fixed. In UMLS, 138,987 concept pairs were found to have inconsistent relationships across multiple source vocabularies. 40 inconsistent concept pairs involving hierarchical relationships were randomly selected and manually reviewed by a human expert. 95.8% of the inconsistent relations involved in these concept pairs indeed exist in their source vocabularies rather than being introduced by mistake in the UMLS integration process. 73.7% of the concept pairs with suggested relationship were agreed by the human expert. The effectiveness of COHeRE indicates that UMLS provides a promising environment to enhance

  7. Developing a modular hydrogeology ontology by extending the SWEET upper-level ontologies

    NASA Astrophysics Data System (ADS)

    Tripathi, Ajay; Babaie, Hassan A.

    2008-09-01

    Upper-level ontologies comprise general concepts and properties which need to be extended to include more diverse and specific domain vocabularies. We present the extension of NASA's Semantic Web for Earth and Environmental Terminology (SWEET) ontologies to include part of the hydrogeology domain. We describe a methodology that can be followed by other allied domain experts who intend to adopt the SWEET ontologies in their own discipline. We have maintained the modular design of the SWEET ontologies for maximum extensibility and reusability of our ontology in other fields, to ensure inter-disciplinary knowledge reuse, management, and discovery. The extension of the SWEET ontologies involved identification of the general SWEET concepts (classes) to serve as the super-class of the domain concepts. This was followed by establishing the special inter-relationships between domain concepts (e.g., equivalence for vadose zone and unsaturated zone), and identifying the dependent concepts such as physical properties and units, and their relationship to external concepts. Ontology editing tools such as SWOOP and Protégé were used to analyze and visualize the structure of the existing OWL files. Domain concepts were introduced either as standalone new classes or as subclasses of existing SWEET ontologies. This involved changing the relationships (properties) and/or adding new relationships based on domain theories. In places, in the Owl files, the entire structure of the existing concepts needed to be changed to represent the domain concept more meaningfully. Throughout this process, the orthogonal structure of SWEET ontologies was maintained and the consistency of the concepts was tested using the Racer reasoner. Individuals were added to the new concepts to test the modified ontologies. Our work shows that SWEET ontologies can successfully be extended and reused in any field without losing their modular or reference structure, or disrupting their URI links.

  8. COHeRE: Cross-Ontology Hierarchical Relation Examination for Ontology Quality Assurance

    PubMed Central

    Cui, Licong

    2015-01-01

    Biomedical ontologies play a vital role in healthcare information management, data integration, and decision support. Ontology quality assurance (OQA) is an indispensable part of the ontology engineering cycle. Most existing OQA methods are based on the knowledge provided within the targeted ontology. This paper proposes a novel cross-ontology analysis method, Cross-Ontology Hierarchical Relation Examination (COHeRE), to detect inconsistencies and possible errors in hierarchical relations across multiple ontologies. COHeRE leverages the Unified Medical Language System (UMLS) knowledge source and the MapReduce cloud computing technique for systematic, large-scale ontology quality assurance work. COHeRE consists of three main steps with the UMLS concepts and relations as the input. First, the relations claimed in source vocabularies are filtered and aggregated for each pair of concepts. Second, inconsistent relations are detected if a concept pair is related by different types of relations in different source vocabularies. Finally, the uncovered inconsistent relations are voted according to their number of occurrences across different source vocabularies. The voting result together with the inconsistent relations serve as the output of COHeRE for possible ontological change. The highest votes provide initial suggestion on how such inconsistencies might be fixed. In UMLS, 138,987 concept pairs were found to have inconsistent relationships across multiple source vocabularies. 40 inconsistent concept pairs involving hierarchical relationships were randomly selected and manually reviewed by a human expert. 95.8% of the inconsistent relations involved in these concept pairs indeed exist in their source vocabularies rather than being introduced by mistake in the UMLS integration process. 73.7% of the concept pairs with suggested relationship were agreed by the human expert. The effectiveness of COHeRE indicates that UMLS provides a promising environment to enhance

  9. OntoCheck: verifying ontology naming conventions and metadata completeness in Protégé 4

    PubMed Central

    2012-01-01

    Background Although policy providers have outlined minimal metadata guidelines and naming conventions, ontologies of today still display inter- and intra-ontology heterogeneities in class labelling schemes and metadata completeness. This fact is at least partially due to missing or inappropriate tools. Software support can ease this situation and contribute to overall ontology consistency and quality by helping to enforce such conventions. Objective We provide a plugin for the Protégé Ontology editor to allow for easy checks on compliance towards ontology naming conventions and metadata completeness, as well as curation in case of found violations. Implementation In a requirement analysis, derived from a prior standardization approach carried out within the OBO Foundry, we investigate the needed capabilities for software tools to check, curate and maintain class naming conventions. A Protégé tab plugin was implemented accordingly using the Protégé 4.1 libraries. The plugin was tested on six different ontologies. Based on these test results, the plugin could be refined, also by the integration of new functionalities. Results The new Protégé plugin, OntoCheck, allows for ontology tests to be carried out on OWL ontologies. In particular the OntoCheck plugin helps to clean up an ontology with regard to lexical heterogeneity, i.e. enforcing naming conventions and metadata completeness, meeting most of the requirements outlined for such a tool. Found test violations can be corrected to foster consistency in entity naming and meta-annotation within an artefact. Once specified, check constraints like name patterns can be stored and exchanged for later re-use. Here we describe a first version of the software, illustrate its capabilities and use within running ontology development efforts and briefly outline improvements resulting from its application. Further, we discuss OntoChecks capabilities in the context of related tools and highlight potential future

  10. OntoCheck: verifying ontology naming conventions and metadata completeness in Protégé 4.

    PubMed

    Schober, Daniel; Tudose, Ilinca; Svatek, Vojtech; Boeker, Martin

    2012-09-21

    Although policy providers have outlined minimal metadata guidelines and naming conventions, ontologies of today still display inter- and intra-ontology heterogeneities in class labelling schemes and metadata completeness. This fact is at least partially due to missing or inappropriate tools. Software support can ease this situation and contribute to overall ontology consistency and quality by helping to enforce such conventions. We provide a plugin for the Protégé Ontology editor to allow for easy checks on compliance towards ontology naming conventions and metadata completeness, as well as curation in case of found violations. In a requirement analysis, derived from a prior standardization approach carried out within the OBO Foundry, we investigate the needed capabilities for software tools to check, curate and maintain class naming conventions. A Protégé tab plugin was implemented accordingly using the Protégé 4.1 libraries. The plugin was tested on six different ontologies. Based on these test results, the plugin could be refined, also by the integration of new functionalities. The new Protégé plugin, OntoCheck, allows for ontology tests to be carried out on OWL ontologies. In particular the OntoCheck plugin helps to clean up an ontology with regard to lexical heterogeneity, i.e. enforcing naming conventions and metadata completeness, meeting most of the requirements outlined for such a tool. Found test violations can be corrected to foster consistency in entity naming and meta-annotation within an artefact. Once specified, check constraints like name patterns can be stored and exchanged for later re-use. Here we describe a first version of the software, illustrate its capabilities and use within running ontology development efforts and briefly outline improvements resulting from its application. Further, we discuss OntoChecks capabilities in the context of related tools and highlight potential future expansions. The OntoCheck plugin facilitates

  11. Speeding up ontology creation of scientific terms

    NASA Astrophysics Data System (ADS)

    Bermudez, L. E.; Graybeal, J.

    2005-12-01

    An ontology is a formal specification of a controlled vocabulary. Ontologies are composed of classes (similar to categories), individuals (members of classes) and properties (attributes of the individuals). Having vocabularies expressed in a formal specification like the Web Ontology Language (OWL) enables interoperability due to the comprehensiveness of OWL by software programs. Two main non-inclusive strategies exist when constructing an ontology: an up-down approach and a bottom-up approach. The former one is directed towards the creation of top classes first (main concepts) and then finding the required subclasses and individuals. The later approach starts from the individuals and then finds similar properties promoting the creation of classes. At the Marine Metadata Interoperability (MMI) Initiative we used a bottom-up approach to create ontologies from simple-vocabularies (those that are not expressed in a conceptual way). We found that the vocabularies were available in different formats (relational data bases, plain files, HTML, XML, PDF) and sometimes were composed of thousands of terms, making the ontology creation process a very time consuming activity. To expedite the conversion process we created a tool VOC2OWL that takes a vocabulary in a table like structure (CSV or TAB format) and a conversion-property file to create automatically an ontology. We identified two basic structures of simple-vocabularies: Flat vocabularies (e.g., phone directory) and hierarchical vocabularies (e.g., taxonomies). The property file defines a list of attributes for the conversion process for each structure type. The attributes included metadata information (title, description, subject, contributor, urlForMoreInformation) and conversion flags (treatAsHierarchy, generateAutoIds) and other conversion information needed to create the ontology (columnForPrimaryClass, columnsToCreateClassesFrom, fileIn, fileOut, namespace, format). We created more than 50 ontologies and

  12. A 2013 workshop: vaccine and drug ontology studies (VDOS 2013).

    PubMed

    Tao, Cui; He, Yongqun; Arabandi, Sivaram

    2014-03-20

    The 2013 "Vaccine and Drug Ontology Studies" (VDOS 2013) international workshop series focuses on vaccine- and drug-related ontology modeling and applications. Drugs and vaccines have contributed to dramatic improvements in public health worldwide. Over the last decade, tremendous efforts have been made in the biomedical ontology community to ontologically represent various areas associated with vaccines and drugs - extending existing clinical terminology systems such as SNOMED, RxNorm, NDF-RT, and MedDRA, as well as developing new models such as Vaccine Ontology. The VDOS workshop series provides a platform for discussing innovative solutions as well as the challenges in the development and applications of biomedical ontologies for representing and analyzing drugs and vaccines, their administration, host immune responses, adverse events, and other related topics. The six full-length papers included in this thematic issue focuses on three main areas: (i) ontology development and representation, (ii) ontology mapping, maintaining and auditing, and (iii) ontology applications.

  13. Ontology Mapping Neural Network: An Approach to Learning and Inferring Correspondences among Ontologies

    ERIC Educational Resources Information Center

    Peng, Yefei

    2010-01-01

    An ontology mapping neural network (OMNN) is proposed in order to learn and infer correspondences among ontologies. It extends the Identical Elements Neural Network (IENN)'s ability to represent and map complex relationships. The learning dynamics of simultaneous (interlaced) training of similar tasks interact at the shared connections of the…

  14. Ontology Mapping Neural Network: An Approach to Learning and Inferring Correspondences among Ontologies

    ERIC Educational Resources Information Center

    Peng, Yefei

    2010-01-01

    An ontology mapping neural network (OMNN) is proposed in order to learn and infer correspondences among ontologies. It extends the Identical Elements Neural Network (IENN)'s ability to represent and map complex relationships. The learning dynamics of simultaneous (interlaced) training of similar tasks interact at the shared connections of the…

  15. Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations.

    PubMed

    Agapito, Giuseppe; Milano, Marianna; Guzzi, Pietro Hiram; Cannataro, Mario

    2016-01-01

    Gene Ontology (GO) is a structured repository of concepts (GO Terms) that are associated to one or more gene products through a process referred to as annotation. The analysis of annotated data is an important opportunity for bioinformatics. There are different approaches of analysis, among those, the use of association rules (AR) which provides useful knowledge, discovering biologically relevant associations between terms of GO, not previously known. In a previous work, we introduced GO-WAR (Gene Ontology-based Weighted Association Rules), a methodology for extracting weighted association rules from ontology-based annotated datasets. We here adapt the GO-WAR algorithm to mine cross-ontology association rules, i.e., rules that involve GO terms present in the three sub-ontologies of GO. We conduct a deep performance evaluation of GO-WAR by mining publicly available GO annotated datasets, showing how GO-WAR outperforms current state of the art approaches.

  16. GFVO: the Genomic Feature and Variation Ontology

    PubMed Central

    Durgahee, Bibi Sehnaaz Begum; Eilbeck, Karen; Antezana, Erick; Hoehndorf, Robert; Dumontier, Michel

    2015-01-01

    Falling costs in genomic laboratory experiments have led to a steady increase of genomic feature and variation data. Multiple genomic data formats exist for sharing these data, and whilst they are similar, they are addressing slightly different data viewpoints and are consequently not fully compatible with each other. The fragmentation of data format specifications makes it hard to integrate and interpret data for further analysis with information from multiple data providers. As a solution, a new ontology is presented here for annotating and representing genomic feature and variation dataset contents. The Genomic Feature and Variation Ontology (GFVO) specifically addresses genomic data as it is regularly shared using the GFF3 (incl. FASTA), GTF, GVF and VCF file formats. GFVO simplifies data integration and enables linking of genomic annotations across datasets through common semantics of genomic types and relations. Availability and implementation. The latest stable release of the ontology is available via its base URI; previous and development versions are available at the ontology’s GitHub repository: https://github.com/BioInterchange/Ontologies; versions of the ontology are indexed through BioPortal (without external class-/property-equivalences due to BioPortal release 4.10 limitations); examples and reference documentation is provided on a separate web-page: http://www.biointerchange.org/ontologies.html. GFVO version 1.0.2 is licensed under the CC0 1.0 Universal license (https://creativecommons.org/publicdomain/zero/1.0) and therefore de facto within the public domain; the ontology can be appropriated without attribution for commercial and non-commercial use. PMID:26019997

  17. Application of Ontologies for Big Earth Data

    NASA Astrophysics Data System (ADS)

    Huang, T.; Chang, G.; Armstrong, E. M.; Boening, C.

    2014-12-01

    Connected data is smarter data! Earth Science research infrastructure must do more than just being able to support temporal, geospatial discovery of satellite data. As the Earth Science data archives continue to expand across NASA data centers, the research communities are demanding smarter data services. A successful research infrastructure must be able to present researchers the complete picture, that is, datasets with linked citations, related interdisciplinary data, imageries, current events, social media discussions, and scientific data tools that are relevant to the particular dataset. The popular Semantic Web for Earth and Environmental Terminology (SWEET) ontologies is a collection of ontologies and concepts designed to improve discovery and application of Earth Science data. The SWEET ontologies collection was initially developed to capture the relationships between keywords in the NASA Global Change Master Directory (GCMD). Over the years this popular ontologies collection has expanded to cover over 200 ontologies and 6000 concepts to enable scalable classification of Earth system science concepts and Space science. This presentation discusses the semantic web technologies as the enabling technology for data-intensive science. We will discuss the application of the SWEET ontologies as a critical component in knowledge-driven research infrastructure for some of the recent projects, which include the DARPA Ontological System for Context Artifact and Resources (OSCAR), 2013 NASA ACCESS Virtual Quality Screening Service (VQSS), and the 2013 NASA Sea Level Change Portal (SLCP) projects. The presentation will also discuss the benefits in using semantic web technologies in developing research infrastructure for Big Earth Science Data in an attempt to "accommodate all domains and provide the necessary glue for information to be cross-linked, correlated, and discovered in a semantically rich manner." [1] [1] Savas Parastatidis: A platform for all that we know

  18. Ion Channel ElectroPhysiology Ontology (ICEPO) - a case study of text mining assisted ontology development.

    PubMed

    Elayavilli, Ravikumar Komandur; Liu, Hongfang

    2016-01-01

    Computational modeling of biological cascades is of great interest to quantitative biologists. Biomedical text has been a rich source for quantitative information. Gathering quantitative parameters and values from biomedical text is one significant challenge in the early steps of computational modeling as it involves huge manual effort. While automatically extracting such quantitative information from bio-medical text may offer some relief, lack of ontological representation for a subdomain serves as impedance in normalizing textual extractions to a standard representation. This may render textual extractions less meaningful to the domain experts. In this work, we propose a rule-based approach to automatically extract relations involving quantitative data from biomedical text describing ion channel electrophysiology. We further translated the quantitative assertions extracted through text mining to a formal representation that may help in constructing ontology for ion channel events using a rule based approach. We have developed Ion Channel ElectroPhysiology Ontology (ICEPO) by integrating the information represented in closely related ontologies such as, Cell Physiology Ontology (CPO), and Cardiac Electro Physiology Ontology (CPEO) and the knowledge provided by domain experts. The rule-based system achieved an overall F-measure of 68.93% in extracting the quantitative data assertions system on an independently annotated blind data set. We further made an initial attempt in formalizing the quantitative data assertions extracted from the biomedical text into a formal representation that offers potential to facilitate the integration of text mining into ontological workflow, a novel aspect of this study. This work is a case study where we created a platform that provides formal interaction between ontology development and text mining. We have achieved partial success in extracting quantitative assertions from the biomedical text and formalizing them in ontological

  19. Semantic Wiki as a Basis for Software Engineering Ontology Evolution

    NASA Astrophysics Data System (ADS)

    Kasisopha, Natsuda; Wongthongtham, Pornpit; Hussain, Farookh Khadeer

    Ontology plays a vital role in sharing a common understanding of the domain among groups of people and provides terminology interpretable by machines. Recently, ontology has grown and continued to evolve constantly, but there are not many tools to provide an environment to support ontology evolution. This paper introduces a framework to support the management and maintenance leading to the evolution of Ontology by focusing on Software Engineering Ontology. The proposed framework will take into account the users' perspectives on the ontology and keep track of the comments in a formal manner. We propose the use of technology such as Semantic MediaWiki as a means to overcome the aforementioned problems.

  20. Meeting Skills Needs in a Market-Based Training System: A Study of Employer Perceptions and Responses to Training Challenges in the Australian Transport and Logistics Industry

    ERIC Educational Resources Information Center

    Gekara, Victor O.; Snell, Darryn; Chhetri, Prem; Manzoni, Alex

    2014-01-01

    Many countries are adopting market-based training systems to address industry skills needs. This paper examines the marketisation of Australia's training system and the implications for training provision and outcomes in the Transport and Logistics industry. Drawing on qualitative interviews from industry employers and training providers, we…

  1. Meeting Skills Needs in a Market-Based Training System: A Study of Employer Perceptions and Responses to Training Challenges in the Australian Transport and Logistics Industry

    ERIC Educational Resources Information Center

    Gekara, Victor O.; Snell, Darryn; Chhetri, Prem; Manzoni, Alex

    2014-01-01

    Many countries are adopting market-based training systems to address industry skills needs. This paper examines the marketisation of Australia's training system and the implications for training provision and outcomes in the Transport and Logistics industry. Drawing on qualitative interviews from industry employers and training providers, we…

  2. Open Biomedical Ontology-based Medline exploration

    PubMed Central

    Xuan, Weijian; Dai, Manhong; Mirel, Barbara; Song, Jean; Athey, Brian; Watson, Stanley J; Meng, Fan

    2009-01-01

    Background Effective Medline database exploration is critical for the understanding of high throughput experimental results and the development of novel hypotheses about the mechanisms underlying the targeted biological processes. While existing solutions enhance Medline exploration through different approaches such as document clustering, network presentations of underlying conceptual relationships and the mapping of search results to MeSH and Gene Ontology trees, we believe the use of multiple ontologies from the Open Biomedical Ontology can greatly help researchers to explore literature from different perspectives as well as to quickly locate the most relevant Medline records for further investigation. Results We developed an ontology-based interactive Medline exploration solution called PubOnto to enable the interactive exploration and filtering of search results through the use of multiple ontologies from the OBO foundry. The PubOnto program is a rich internet application based on the FLEX platform. It contains a number of interactive tools, visualization capabilities, an open service architecture, and a customizable user interface. It is freely accessible at: . PMID:19426463

  3. Integrating systems biology models and biomedical ontologies

    PubMed Central

    2011-01-01

    Background Systems biology is an approach to biology that emphasizes the structure and dynamic behavior of biological systems and the interactions that occur within them. To succeed, systems biology crucially depends on the accessibility and integration of data across domains and levels of granularity. Biomedical ontologies were developed to facilitate such an integration of data and are often used to annotate biosimulation models in systems biology. Results We provide a framework to integrate representations of in silico systems biology with those of in vivo biology as described by biomedical ontologies and demonstrate this framework using the Systems Biology Markup Language. We developed the SBML Harvester software that automatically converts annotated SBML models into OWL and we apply our software to those biosimulation models that are contained in the BioModels Database. We utilize the resulting knowledge base for complex biological queries that can bridge levels of granularity, verify models based on the biological phenomenon they represent and provide a means to establish a basic qualitative layer on which to express the semantics of biosimulation models. Conclusions We establish an information flow between biomedical ontologies and biosimulation models and we demonstrate that the integration of annotated biosimulation models and biomedical ontologies enables the verification of models as well as expressive queries. Establishing a bi-directional information flow between systems biology and biomedical ontologies has the potential to enable large-scale analyses of biological systems that span levels of granularity from molecules to organisms. PMID:21835028

  4. Effective Ontology-Based Data Integration

    NASA Astrophysics Data System (ADS)

    Rosati, Riccardo

    The goal of data integration is to provide a uniform access to a set of heterogeneous data sources, freeing the user from the knowledge about where the data are, how they are stored, and how they can be accessed. One of the outcomes of the research work carried out on data integration in the last years is a clear conceptual architecture, comprising a global schema, the source schema, and the mapping between the source and the global schema. In this talk, we present a comprehensive approach to ontology-based data integration. We consider global schemas that are ontologies expressed in OWL, the W3C standard ontology specification language, whereas sources are relations, managed through a data federation tool that wraps the actual data. The mapping language has specific mechanisms for relating values stored at the sources to objects that are instances of concepts in the ontology. By virtue of the careful design that we propose for the various components of a data integration system, answering unions of conjunctive queries can be done through a very efficient technique which reduces this task to standard SQL query evaluation. Finally, we present a management system for ontology-based data integration, called MASTRO-I, which completely implements our approach.

  5. NOA: a novel Network Ontology Analysis method.

    PubMed

    Wang, Jiguang; Huang, Qiang; Liu, Zhi-Ping; Wang, Yong; Wu, Ling-Yun; Chen, Luonan; Zhang, Xiang-Sun

    2011-07-01

    Gene ontology analysis has become a popular and important tool in bioinformatics study, and current ontology analyses are mainly conducted in individual gene or a gene list. However, recent molecular network analysis reveals that the same list of genes with different interactions may perform different functions. Therefore, it is necessary to consider molecular interactions to correctly and specifically annotate biological networks. Here, we propose a novel Network Ontology Analysis (NOA) method to perform gene ontology enrichment analysis on biological networks. Specifically, NOA first defines link ontology that assigns functions to interactions based on the known annotations of joint genes via optimizing two novel indexes 'Coverage' and 'Diversity'. Then, NOA generates two alternative reference sets to statistically rank the enriched functional terms for a given biological network. We compare NOA with traditional enrichment analysis methods in several biological networks, and find that: (i) NOA can capture the change of functions not only in dynamic transcription regulatory networks but also in rewiring protein interaction networks while the traditional methods cannot and (ii) NOA can find more relevant and specific functions than traditional methods in different types of static networks. Furthermore, a freely accessible web server for NOA has been developed at http://www.aporc.org/noa/.

  6. Towards a core ontology for integrating ecological and environmental ontologies to enable improved data interoperability

    NASA Astrophysics Data System (ADS)

    Bowers, S.; Madin, J.; Jones, M.; Schildhauer, M.; Ludaescher, B.

    2007-12-01

    Research in the ecological and environmental sciences increasingly relies on the integration of traditionally small, focused studies to form larger datasets for synthetic analyses. However, a broad range of data types, structures, and semantic subtleties occur in ecological data, making data discovery and integration a difficult and time-consuming task. Our work focuses on capturing the subtleties of scientific data through semantic annotations, which involve linking ecological data to concepts and relationships in domain-specific ontologies, thereby enabling more advanced forms of data discovery and integration. A variety of ontologies related to ecological data are actively being developed, ranging from low-level and highly focused vocabularies to high-level models and classifications. However, as the number of ontologies and their included terms increase, organizing these into a coherent framework useful for data annotation becomes increasingly complex (we note that similar issues have been recognized within the molecular biology and bioinformatics communities). We describe a core ontology model for semantic annotation that provides a structured approach for integrating the growing number of ecology-relevant ontologies. The ontology defines the notion of "scientific observation" as a unifying concept for capturing the basic semantics of ecological data. Observations are distinguished at the level of the entity (e.g., location, time, thing, concept), and characteristics of an entity (e.g., height, name, color) are measured (named or classified) as data. The ontology permits observations to be related via context (such as spatial or temporal containment), further supporting the discovery and automated comparison and alignment (e.g., merging) of heterogeneous data. The core ontology also defines a set of extension points that can be used to either directly build new domain ontologies (as extension ontologies), or to provide a common basis to which existing

  7. The Porifera Ontology (PORO): enhancing sponge systematics with an anatomy ontology.

    PubMed

    Thacker, Robert W; Díaz, Maria Cristina; Kerner, Adeline; Vignes-Lebbe, Régine; Segerdell, Erik; Haendel, Melissa A; Mungall, Christopher J

    2014-01-01

    Porifera (sponges) are ancient basal metazoans that lack organs. They provide insight into key evolutionary transitions, such as the emergence of multicellularity and the nervous system. In addition, their ability to synthesize unusual compounds offers potential biotechnical applications. However, much of the knowledge of these organisms has not previously been codified in a machine-readable way using modern web standards. The Porifera Ontology is intended as a standardized coding system for sponge anatomical features currently used in systematics. The ontology is available from http://purl.obolibrary.org/obo/poro.owl, or from the project homepage http://porifera-ontology.googlecode.com/. The version referred to in this manuscript is permanently available from http://purl.obolibrary.org/obo/poro/releases/2014-03-06/. By standardizing character representations, we hope to facilitate more rapid description and identification of sponge taxa, to allow integration with other evolutionary database systems, and to perform character mapping across the major clades of sponges to better understand the evolution of morphological features. Future applications of the ontology will focus on creating (1) ontology-based species descriptions; (2) taxonomic keys that use the nested terms of the ontology to more quickly facilitate species identifications; and (3) methods to map anatomical characters onto molecular phylogenies of sponges. In addition to modern taxa, the ontology is being extended to include features of fossil taxa.

  8. Using ontology network structure in text mining.

    PubMed

    Berndt, Donald J; McCart, James A; Luther, Stephen L

    2010-11-13

    Statistical text mining treats documents as bags of words, with a focus on term frequencies within documents and across document collections. Unlike natural language processing (NLP) techniques that rely on an engineered vocabulary or a full-featured ontology, statistical approaches do not make use of domain-specific knowledge. The freedom from biases can be an advantage, but at the cost of ignoring potentially valuable knowledge. The approach proposed here investigates a hybrid strategy based on computing graph measures of term importance over an entire ontology and injecting the measures into the statistical text mining process. As a starting point, we adapt existing search engine algorithms such as PageRank and HITS to determine term importance within an ontology graph. The graph-theoretic approach is evaluated using a smoking data set from the i2b2 National Center for Biomedical Computing, cast as a simple binary classification task for categorizing smoking-related documents, demonstrating consistent improvements in accuracy.

  9. Ontology-enriched Visualization of Human Anatomy

    SciTech Connect

    Pouchard, LC

    2005-12-20

    The project focuses on the problem of presenting a human anatomical 3D model associated with other types of human systemic information ranging from physiological to anatomical information while navigating the 3D model. We propose a solution that integrates a visual 3D interface and navigation features with the display of structured information contained in an ontology of anatomy where the structures of the human body are formally and semantically linked. The displayed and annotated anatomy serves as a visual entry point into a patient's anatomy, medical indicators and other information. The ontology of medical information provides labeling to the highlighted anatomical parts in the 3D display. Because of the logical organization and links between anatomical objects found in the ontology and associated 3D model, the analysis of a structure by a physician is greatly enhanced. Navigation within the 3D visualization and between this visualization and objects representing anatomical concepts within the model is also featured.

  10. Modularizing Spatial Ontologies for Assisted Living Systems

    NASA Astrophysics Data System (ADS)

    Hois, Joana

    Assisted living systems are intended to support daily-life activities in user homes by automatizing and monitoring behavior of the environment while interacting with the user in a non-intrusive way. The knowledge base of such systems therefore has to define thematically different aspects of the environment mostly related to space, such as basic spatial floor plan information, pieces of technical equipment in the environment and their functions and spatial ranges, activities users can perform, entities that occur in the environment, etc. In this paper, we present thematically different ontologies, each of which describing environmental aspects from a particular perspective. The resulting modular structure allows the selection of application-specific ontologies as necessary. This hides information and reduces complexity in terms of the represented spatial knowledge and reasoning practicability. We motivate and present the different spatial ontologies applied to an ambient assisted living application.

  11. Ontology Driven Piecemeal Development of Smart Spaces

    NASA Astrophysics Data System (ADS)

    Ovaska, Eila

    Software development is facing new challenges due to transformation from product based software engineering towards integration and collaboration based software engineering that embodies high degree of dynamism both at design time and run time. Short time-to-markets require cost reduction by maximizing software reuse; openness for new innovations presumes a flexible innovation platform and agile software development; and user satisfaction assumes high quality in a situation based manner. How to deal with these contradictory requirements in software engineering? The main contribution of this paper is a novel approach that is influenced by business innovation, human centered design, model driven development and ontology oriented design. The approach is called Ontology driven Piecemeal Software Engineering (OPSE). OPSE facilitates incremental software development based on software pieces that follow the design principles defined by means of ontologies. Its key elements are abstraction, aggregation and adaptivity. The approach is intended for and applied to the development of smart spaces.

  12. A Proposed Ontology For Online Healthcare Surveys

    PubMed Central

    Huq, Syed Z; Karras, Bryant T

    2003-01-01

    This paper results from the research efforts of the Clinical Informatics Research Group in building a generalized system for online survey implementation. Key to the success of any generalized survey system is a standard ontology for the differing components of any survey, particularly those sought to be implemented online, over the World Wide Web. In this paper, we introduce the need for generalized survey authoring tools, discuss our methods for elucidating the different components present in many healthcare instruments and classifying them as per existing standards, and later present our proposed ontology for online surveys in the healthcare domain. Next is a more detailed description of the different question types mentioned in this ontology. Finally, we compare some general purpose authoring systems currently available to determine their flexibility in representing these disparate question types (www.cirg.washington.edu/SuML). PMID:14728183

  13. A Posteriori Ontology Engineering for Data-Driven Science

    SciTech Connect

    Gessler, Damian Dg; Joslyn, Cliff A.; Verspoor, Karin M.

    2013-05-28

    Science—and biology in particular—has a rich tradition in categorical knowledge management. This continues today in the generation and use of formal ontologies. Unfortunately, the link between hard data and ontological content is predominately qualitative, not quantitative. The usual approach is to construct ontologies of qualitative concepts, and then annotate the data to the ontologies. This process has seen great value, yet it is laborious, and the success to which ontologies are managing and organizing the full information content of the data is uncertain. An alternative approach is the converse: use the data itself to quantitatively drive ontology creation. Under this model, one generates ontologies at the time they are needed, allowing them to change as more data influences both their topology and their concept space. We outline a combined approach to achieve this, taking advantage of two technologies, the mathematical approach of Formal Concept Analysis (FCA) and the semantic web technologies of the Web Ontology Language (OWL).

  14. Evolution of biomedical ontologies and mappings: Overview of recent approaches.

    PubMed

    Groß, Anika; Pruski, Cédric; Rahm, Erhard

    2016-01-01

    Biomedical ontologies are heavily used to annotate data, and different ontologies are often interlinked by ontology mappings. These ontology-based mappings and annotations are used in many applications and analysis tasks. Since biomedical ontologies are continuously updated dependent artifacts can become outdated and need to undergo evolution as well. Hence there is a need for largely automated approaches to keep ontology-based mappings up-to-date in the presence of evolving ontologies. In this article, we survey current approaches and novel directions in the context of ontology and mapping evolution. We will discuss requirements for mapping adaptation and provide a comprehensive overview on existing approaches. We will further identify open challenges and outline ideas for future developments.

  15. OAE: The Ontology of Adverse Events

    PubMed Central

    2014-01-01

    Background A medical intervention is a medical procedure or application intended to relieve or prevent illness or injury. Examples of medical interventions include vaccination and drug administration. After a medical intervention, adverse events (AEs) may occur which lie outside the intended consequences of the intervention. The representation and analysis of AEs are critical to the improvement of public health. Description The Ontology of Adverse Events (OAE), previously named Adverse Event Ontology (AEO), is a community-driven ontology developed to standardize and integrate data relating to AEs arising subsequent to medical interventions, as well as to support computer-assisted reasoning. OAE has over 3,000 terms with unique identifiers, including terms imported from existing ontologies and more than 1,800 OAE-specific terms. In OAE, the term ‘adverse event’ denotes a pathological bodily process in a patient that occurs after a medical intervention. Causal adverse events are defined by OAE as those events that are causal consequences of a medical intervention. OAE represents various adverse events based on patient anatomic regions and clinical outcomes, including symptoms, signs, and abnormal processes. OAE has been used in the analysis of several different sorts of vaccine and drug adverse event data. For example, using the data extracted from the Vaccine Adverse Event Reporting System (VAERS), OAE was used to analyse vaccine adverse events associated with the administrations of different types of influenza vaccines. OAE has also been used to represent and classify the vaccine adverse events cited in package inserts of FDA-licensed human vaccines in the USA. Conclusion OAE is a biomedical ontology that logically defines and classifies various adverse events occurring after medical interventions. OAE has successfully been applied in several adverse event studies. The OAE ontological framework provides a platform for systematic representation and analysis of

  16. An ontology of human developmental anatomy

    PubMed Central

    Hunter, Amy; Kaufman, Matthew H; McKay, Angus; Baldock, Richard; Simmen, Martin W; Bard, Jonathan B L

    2003-01-01

    Human developmental anatomy has been organized as structured lists of the major constituent tissues present during each of Carnegie stages 1–20 (E1–E50, ∼8500 anatomically defined tissue items). For each of these stages, the tissues have been organized as a hierarchy in which an individual tissue is catalogued as part of a larger tissue. Such a formal representation of knowledge is known as an ontology and this anatomical ontology can be used in databases to store, organize and search for data associated with the tissues present at each developmental stage. The anatomical data for compiling these hierarchies comes from the literature, from observations on embryos in the Patten Collection (Ann Arbor, MI, USA) and from comparisons with mouse tissues at similar stages of development. The ontology is available in three versions. The first gives hierarchies of the named tissues present at each Carnegie stage (http://www.ana.ed.ac.uk/anatomy/database/humat/) and is intended to help analyse both normal and abnormal human embryos; it carries hyperlinked notes on some ambiguities in the literature that have been clarified through analysing sectioned material. The second contains many additional subsidiary tissue domains and is intended for handling tissue-associated data (e.g. gene-expression) in a database. This version is available at the humat site and at http://genex.hgu.mrc.ac.uk/Resources/intro.html/), and has been designed to be interoperable with the ontology for mouse developmental anatomy, also available at the genex site. The third gives the second version in GO ontology syntax (with standard IDs for each tissue) and can be downloaded from both the genex and the Open Biological Ontology sites (http://obo.sourceforge.net/) PMID:14620375

  17. OAE: The Ontology of Adverse Events.

    PubMed

    He, Yongqun; Sarntivijai, Sirarat; Lin, Yu; Xiang, Zuoshuang; Guo, Abra; Zhang, Shelley; Jagannathan, Desikan; Toldo, Luca; Tao, Cui; Smith, Barry

    2014-01-01

    A medical intervention is a medical procedure or application intended to relieve or prevent illness or injury. Examples of medical interventions include vaccination and drug administration. After a medical intervention, adverse events (AEs) may occur which lie outside the intended consequences of the intervention. The representation and analysis of AEs are critical to the improvement of public health. The Ontology of Adverse Events (OAE), previously named Adverse Event Ontology (AEO), is a community-driven ontology developed to standardize and integrate data relating to AEs arising subsequent to medical interventions, as well as to support computer-assisted reasoning. OAE has over 3,000 terms with unique identifiers, including terms imported from existing ontologies and more than 1,800 OAE-specific terms. In OAE, the term 'adverse event' denotes a pathological bodily process in a patient that occurs after a medical intervention. Causal adverse events are defined by OAE as those events that are causal consequences of a medical intervention. OAE represents various adverse events based on patient anatomic regions and clinical outcomes, including symptoms, signs, and abnormal processes. OAE has been used in the analysis of several different sorts of vaccine and drug adverse event data. For example, using the data extracted from the Vaccine Adverse Event Reporting System (VAERS), OAE was used to analyse vaccine adverse events associated with the administrations of different types of influenza vaccines. OAE has also been used to represent and classify the vaccine adverse events cited in package inserts of FDA-licensed human vaccines in the USA. OAE is a biomedical ontology that logically defines and classifies various adverse events occurring after medical interventions. OAE has successfully been applied in several adverse event studies. The OAE ontological framework provides a platform for systematic representation and analysis of adverse events and of the factors (e

  18. The Confidence Information Ontology: a step towards a standard for asserting confidence in annotations

    PubMed Central

    Bastian, Frederic B.; Chibucos, Marcus C.; Gaudet, Pascale; Giglio, Michelle; Holliday, Gemma L.; Huang, Hong; Lewis, Suzanna E.; Niknejad, Anne; Orchard, Sandra; Poux, Sylvain; Skunca, Nives; Robinson-Rechavi, Marc

    2015-01-01

    Biocuration has become a cornerstone for analyses in biology, and to meet needs, the amount of annotations has considerably grown in recent years. However, the reliability of these annotations varies; it has thus become necessary to be able to assess the confidence in annotations. Although several resources already provide confidence information about the annotations that they produce, a standard way of providing such information has yet to be defined. This lack of standardization undermines the propagation of knowledge across resources, as well as the credibility of results from high-throughput analyses. Seeded at a workshop during the Biocuration 2012 conference, a working group has been created to address this problem. We present here the elements that were identified as essential for assessing confidence in annotations, as well as a draft ontology—the Confidence Information Ontology—to illustrate how the problems identified could be addressed. We hope that this effort will provide a home for discussing this major issue among the biocuration community. Tracker URL: https://github.com/BgeeDB/confidence-information-ontology Ontology URL: https://raw.githubusercontent.com/BgeeDB/confidence-information-ontology/master/src/ontology/cio-simple.obo PMID:25957950

  19. Primitive Ontology and the Classical World

    NASA Astrophysics Data System (ADS)

    Allori, Valia

    In this chapter, I present the common structure of quantum theories with a primitive ontology (PO), and discuss in what sense the classical world emerges from quantum theories as understood in this framework. In addition, I argue that the PO approach is better at analyzing the classical limit than the rival wave function ontology approach or any other approach in which the classical world is non-reductively "emergent:" even if the classical limit within this framework needs to be fully developed, the difficulties are technical rather than conceptual, while this is not true for the alternatives.

  20. Practical Applications of the Gene Ontology Resource

    NASA Astrophysics Data System (ADS)

    Huntley, Rachael P.; Dimmer, Emily C.; Apweiler, Rolf

    The Gene Ontology (GO) is a controlled vocabulary that represents knowledge about the functional attributes of gene products in a structured manner and can be used in both computational and human analyses. This vocabulary has been used by diverse curation groups to associate functional information to individual gene products in the form of annotations. GO has proven an invaluable resource for evaluating and interpreting the biological significance of large data sets, enabling researchers to create hypotheses to direct their future research. This chapter provides an overview of the Gene Ontology, how it can be used, and tips on getting the most out of GO analyses.

  1. An ontological view of advanced practice nursing.

    PubMed

    Arslanian-Engoren, Cynthia; Hicks, Frank D; Whall, Ann L; Algase, Donna L

    2005-01-01

    Identifying, developing, and incorporating nursing's unique ontological and epistemological perspective into advanced practice nursing practice places priority on delivering care based on research-derived knowledge. Without a clear distinction of our metatheoretical space, we risk blindly adopting the practice values of other disciplines, which may not necessarily reflect those of nursing. A lack of focus may lead current advanced practice nursing curricula and emerging doctorate of nursing practice programs to mirror the logical positivist paradigm and perspective of medicine. This article presents an ontological perspective for advanced practice nursing education, practice, and research.

  2. Semi-automated ontology generation and evolution

    NASA Astrophysics Data System (ADS)

    Stirtzinger, Anthony P.; Anken, Craig S.

    2009-05-01

    Extending the notion of data models or object models, ontology can provide rich semantic definition not only to the meta-data but also to the instance data of domain knowledge, making these semantic definitions available in machine readable form. However, the generation of an effective ontology is a difficult task involving considerable labor and skill. This paper discusses an Ontology Generation and Evolution Processor (OGEP) aimed at automating this process, only requesting user input when un-resolvable ambiguous situations occur. OGEP directly attacks the main barrier which prevents automated (or self learning) ontology generation: the ability to understand the meaning of artifacts and the relationships the artifacts have to the domain space. OGEP leverages existing lexical to ontological mappings in the form of WordNet, and Suggested Upper Merged Ontology (SUMO) integrated with a semantic pattern-based structure referred to as the Semantic Grounding Mechanism (SGM) and implemented as a Corpus Reasoner. The OGEP processing is initiated by a Corpus Parser performing a lexical analysis of the corpus, reading in a document (or corpus) and preparing it for processing by annotating words and phrases. After the Corpus Parser is done, the Corpus Reasoner uses the parts of speech output to determine the semantic meaning of a word or phrase. The Corpus Reasoner is the crux of the OGEP system, analyzing, extrapolating, and evolving data from free text into cohesive semantic relationships. The Semantic Grounding Mechanism provides a basis for identifying and mapping semantic relationships. By blending together the WordNet lexicon and SUMO ontological layout, the SGM is given breadth and depth in its ability to extrapolate semantic relationships between domain entities. The combination of all these components results in an innovative approach to user assisted semantic-based ontology generation. This paper will describe the OGEP technology in the context of the architectural

  3. Ontology-Based Model Of Firm Competitiveness

    NASA Astrophysics Data System (ADS)

    Deliyska, Boryana; Stoenchev, Nikolay

    2010-10-01

    Competitiveness is important characteristics of each business organization (firm, company, corporation etc). It is of great significance for the organization existence and defines evaluation criteria of business success at microeconomical level. Each criterium comprises set of indicators with specific weight coefficients. In the work an ontology-based model of firm competitiveness is presented as a set of several mutually connected ontologies. It would be useful for knowledge structuring, standardization and sharing among experts and software engineers who develop application in the domain. Then the assessment of the competitiveness of various business organizations could be generated more effectively.

  4. Developing Learning Materials Using an Ontology of Mathematical Logic

    ERIC Educational Resources Information Center

    Boyatt, Russell; Joy, Mike

    2012-01-01

    Ontologies describe a body of knowledge and give formal structure to a domain by describing concepts and their relationships. The construction of an ontology provides an opportunity to develop a shared understanding and a consistent vocabulary to be used for a given activity. This paper describes the construction of an ontology for an area of…

  5. The Relationship between User Expertise and Structural Ontology Characteristics

    ERIC Educational Resources Information Center

    Waldstein, Ilya Michael

    2014-01-01

    Ontologies are commonly used to support application tasks such as natural language processing, knowledge management, learning, browsing, and search. Literature recommends considering specific context during ontology design, and highlights that a different context is responsible for problems in ontology reuse. However, there is still no clear…

  6. Unsupervised Ontology Generation from Unstructured Text. CRESST Report 827

    ERIC Educational Resources Information Center

    Mousavi, Hamid; Kerr, Deirdre; Iseli, Markus R.

    2013-01-01

    Ontologies are a vital component of most knowledge acquisition systems, and recently there has been a huge demand for generating ontologies automatically since manual or supervised techniques are not scalable. In this paper, we introduce "OntoMiner", a rule-based, iterative method to extract and populate ontologies from unstructured or…

  7. The Relationship between User Expertise and Structural Ontology Characteristics

    ERIC Educational Resources Information Center

    Waldstein, Ilya Michael

    2014-01-01

    Ontologies are commonly used to support application tasks such as natural language processing, knowledge management, learning, browsing, and search. Literature recommends considering specific context during ontology design, and highlights that a different context is responsible for problems in ontology reuse. However, there is still no clear…

  8. Children's Reasoning about Physics within and across Ontological Kinds.

    ERIC Educational Resources Information Center

    Heyman, Gail D.; Phillips, Ann T.; Gelman, Susan A.

    2003-01-01

    Examined reasoning about physics principles within and across ontological kinds among 5- and 7-year-olds and adults. Found that all age groups tended to appropriately generalize what they learned across ontological kinds. Children assumed that principles learned with reference to one ontological kind were more likely to apply within that kind than…

  9. Ontological Approach to Military Knowledge Modeling and Management

    DTIC Science & Technology

    2004-03-01

    federated search mechanism has to reformulate user queries (expressed using the ontology) in the query languages of the different sources (e.g. SQL...ontologies as a common terminology – Unified query to perform federated search • Query processing – Ontology mapping to sources reformulate queries

  10. Children's Reasoning about Physics within and across Ontological Kinds.

    ERIC Educational Resources Information Center

    Heyman, Gail D.; Phillips, Ann T.; Gelman, Susan A.

    2003-01-01

    Examined reasoning about physics principles within and across ontological kinds among 5- and 7-year-olds and adults. Found that all age groups tended to appropriately generalize what they learned across ontological kinds. Children assumed that principles learned with reference to one ontological kind were more likely to apply within that kind than…

  11. Development of an Ontology for Periodontitis.

    PubMed

    Suzuki, Asami; Takai-Igarashi, Takako; Nakaya, Jun; Tanaka, Hiroshi

    2015-01-01

    In the clinical dentists and periodontal researchers' community, there is an obvious demand for a systems model capable of linking the clinical presentation of periodontitis to underlying molecular knowledge. A computer-readable representation of processes on disease development will give periodontal researchers opportunities to elucidate pathways and mechanisms of periodontitis. An ontology for periodontitis can be a model for integration of large variety of factors relating to a complex disease such as chronic inflammation in different organs accompanied by bone remodeling and immune system disorders, which has recently been referred to as osteoimmunology. Terms characteristic of descriptions related to the onset and progression of periodontitis were manually extracted from 194 review articles and PubMed abstracts by experts in periodontology. We specified all the relations between the extracted terms and constructed them into an ontology for periodontitis. We also investigated matching between classes of our ontology and that of Gene Ontology Biological Process. We developed an ontology for periodontitis called Periodontitis-Ontology (PeriO). The pathological progression of periodontitis is caused by complex, multi-factor interrelationships. PeriO consists of all the required concepts to represent the pathological progression and clinical treatment of periodontitis. The pathological processes were formalized with reference to Basic Formal Ontology and Relation Ontology, which accounts for participants in the processes realized by biological objects such as molecules and cells. We investigated the peculiarity of biological processes observed in pathological progression and medical treatments for the disease in comparison with Gene Ontology Biological Process (GO-BP) annotations. The results indicated that peculiarities of Perio existed in 1) granularity and context dependency of both the conceptualizations, and 2) causality intrinsic to the pathological processes

  12. Ontology-based topic clustering for online discussion data

    NASA Astrophysics Data System (ADS)

    Wang, Yongheng; Cao, Kening; Zhang, Xiaoming

    2013-03-01

    With the rapid development of online communities, mining and extracting quality knowledge from online discussions becomes very important for the industrial and marketing sector, as well as for e-commerce applications and government. Most of the existing techniques model a discussion as a social network of users represented by a user-based graph without considering the content of the discussion. In this paper we propose a new multilayered mode to analysis online discussions. The user-based and message-based representation is combined in this model. A novel frequent concept sets based clustering method is used to cluster the original online discussion network into topic space. Domain ontology is used to improve the clustering accuracy. Parallel methods are also used to make the algorithms scalable to very large data sets. Our experimental study shows that the model and algorithms are effective when analyzing large scale online discussion data.

  13. An Organizational Knowledge Ontology for Automotive Supply Chains

    NASA Astrophysics Data System (ADS)

    Hellingrath, Bernd; Witthaut, Markus; Böhle, Carsten; Brügger, Stephan

    The currently completed ILIPT (Intelligent Logistics for Innovative Product Technologies) project was concerned with the concept of the “5 day car” (a customized car that is delivered within five days after its ordering) and encompassed extensive research on the required production and logistics network structures and processes. As car manufacturers in the automotive industry (commonly referred to as OEMs) rely heavily on their suppliers, the major challenge lies in the organization of inter-enterprise cooperation supported by information systems (IS) in an efficient manner. A common understanding of supply chain concepts is indispensable for this. Ontologies as formal representations of concepts can be used as a semantic basis for cooperation. Relevant results from ILIPT are presented followed by a concept as well as a prototype of how to transfer the theoretical findings to a practical implementation, in this case a multi-agent system.

  14. Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies.

    PubMed

    Ochs, Christopher; He, Zhe; Zheng, Ling; Geller, James; Perl, Yehoshua; Hripcsak, George; Musen, Mark A

    2016-06-01

    An Abstraction Network is a compact summary of an ontology's structure and content. In previous research, we showed that Abstraction Networks support quality assurance (QA) of biomedical ontologies. The development of an Abstraction Network and its associated QA methodologies, however, is a labor-intensive process that previously was applicable only to one ontology at a time. To improve the efficiency of the Abstraction-Network-based QA methodology, we introduced a QA framework that uses uniform Abstraction Network derivation techniques and QA methodologies that are applicable to whole families of structurally similar ontologies. For the family-based framework to be successful, it is necessary to develop a method for classifying ontologies into structurally similar families. We now describe a structural meta-ontology that classifies ontologies according to certain structural features that are commonly used in the modeling of ontologies (e.g., object properties) and that are important for Abstraction Network derivation. Each class of the structural meta-ontology represents a family of ontologies with identical structural features, indicating which types of Abstraction Networks and QA methodologies are potentially applicable to all of the ontologies in the family. We derive a collection of 81 families, corresponding to classes of the structural meta-ontology, that enable a flexible, streamlined family-based QA methodology, offering multiple choices for classifying an ontology. The structure of 373 ontologies from the NCBO BioPortal is analyzed and each ontology is classified into multiple families modeled by the structural meta-ontology. Copyright © 2016 Elsevier Inc. All rights reserved.

  15. Ontology of Earth's nonlinear dynamic complex systems

    NASA Astrophysics Data System (ADS)

    Babaie, Hassan; Davarpanah, Armita

    2017-04-01

    As a complex system, Earth and its major integrated and dynamically interacting subsystems (e.g., hydrosphere, atmosphere) display nonlinear behavior in response to internal and external influences. The Earth Nonlinear Dynamic Complex Systems (ENDCS) ontology formally represents the semantics of the knowledge about the nonlinear system element (agent) behavior, function, and structure, inter-agent and agent-environment feedback loops, and the emergent collective properties of the whole complex system as the result of interaction of the agents with other agents and their environment. It also models nonlinear concepts such as aperiodic, random chaotic behavior, sensitivity to initial conditions, bifurcation of dynamic processes, levels of organization, self-organization, aggregated and isolated functionality, and emergence of collective complex behavior at the system level. By incorporating several existing ontologies, the ENDCS ontology represents the dynamic system variables and the rules of transformation of their state, emergent state, and other features of complex systems such as the trajectories in state (phase) space (attractor and strange attractor), basins of attractions, basin divide (separatrix), fractal dimension, and system's interface to its environment. The ontology also defines different object properties that change the system behavior, function, and structure and trigger instability. ENDCS will help to integrate the data and knowledge related to the five complex subsystems of Earth by annotating common data types, unifying the semantics of shared terminology, and facilitating interoperability among different fields of Earth science.

  16. Bacterial Virus Ontology; Coordinating across Databases.

    PubMed

    Hulo, Chantal; Masson, Patrick; Toussaint, Ariane; Osumi-Sutherland, David; de Castro, Edouard; Auchincloss, Andrea H; Poux, Sylvain; Bougueleret, Lydie; Xenarios, Ioannis; Le Mercier, Philippe

    2017-05-23

    Bacterial viruses, also called bacteriophages, display a great genetic diversity and utilize unique processes for infecting and reproducing within a host cell. All these processes were investigated and indexed in the ViralZone knowledge base. To facilitate standardizing data, a simple ontology of viral life-cycle terms was developed to provide a common vocabulary for annotating data sets. New terminology was developed to address unique viral replication cycle processes, and existing terminology was modified and adapted. Classically, the viral life-cycle is described by schematic pictures. Using this ontology, it can be represented by a combination of successive events: entry, latency, transcription/replication, host-virus interactions and virus release. Each of these parts is broken down into discrete steps. For example enterobacteria phage lambda entry is broken down in: viral attachment to host adhesion receptor, viral attachment to host entry receptor, viral genome ejection and viral genome circularization. To demonstrate the utility of a standard ontology for virus biology, this work was completed by annotating virus data in the ViralZone, UniProtKB and Gene Ontology databases.

  17. Deafblindness, ontological security, and social recognition.

    PubMed

    Danermark, Berth D; Möller, Kerstin

    2008-11-01

    Trust, ontological security, and social recognition are discussed in relation to self-identity among people with acquired deafblindness. To date the phenomenon has not been elaborated in the context of deafblindness. When a person with deafblindness interacts with the social and material environment, the reliability, constancy, and predictability of his or her relations is crucial for maintaining or achieving ontological security or a general and fairly persistent feeling of well-being. When these relations fundamentally change, the impact on ontological security will be very negative. The construction of social recognition through the interaction between the self and others is embodied across three dimensions: at the individual level, at the legal systems level, and at the normative or value level. The relationship between trust and ontological security on the one hand and social recognition on the other hand is discussed. It is argued that these basic processes affecting personality development have to be identified and acknowledged in the interactions people with deafblindness experience. Some implications for the rehabilitation of people with acquired deafblindness are presented and illustrated.

  18. On Static and Dynamic Intuitive Ontologies

    ERIC Educational Resources Information Center

    Hammer, David; Gupta, Ayush; Redish, Edward F.

    2011-01-01

    The authors appreciate Professor Slotta's responding to their critique (Slotta, this issue). For their part, they believe that Professor Slotta has misinterpreted aspects of their position. In this commentary, the authors clarify two particular points. First, they explain their use of "static ontologies," which they maintain applies. Second, they…

  19. Development of an Ontology for Occupational Exposure

    EPA Science Inventory

    When discussing a scientific domain, the use of a common language is required, particularly when communicating across disciplines. This common language, or ontology, is a prescribed vocabulary and a web of contextual relationships within the vocabulary that describe the given dom...

  20. Modeling biochemical pathways in the gene ontology

    DOE PAGES

    Hill, David P.; D’Eustachio, Peter; Berardini, Tanya Z.; ...

    2016-09-01

    The concept of a biological pathway, an ordered sequence of molecular transformations, is used to collect and represent molecular knowledge for a broad span of organismal biology. Representations of biomedical pathways typically are rich but idiosyncratic presentations of organized knowledge about individual pathways. Meanwhile, biomedical ontologies and associated annotation files are powerful tools that organize molecular information in a logically rigorous form to support computational analysis. The Gene Ontology (GO), representing Molecular Functions, Biological Processes and Cellular Components, incorporates many aspects of biological pathways within its ontological representations. Here we present a methodology for extending and refining the classes inmore » the GO for more comprehensive, consistent and integrated representation of pathways, leveraging knowledge embedded in current pathway representations such as those in the Reactome Knowledgebase and MetaCyc. With carbohydrate metabolic pathways as a use case, we discuss how our representation supports the integration of variant pathway classes into a unified ontological structure that can be used for data comparison and analysis.« less

  1. Rehabilitation robotics ontology on the cloud.

    PubMed

    Dogmus, Zeynep; Papantoniou, Agis; Kilinc, Muhammed; Yildirim, Sibel A; Erdem, Esra; Patoglu, Volkan

    2013-06-01

    We introduce the first formal rehabilitation robotics ontology, called RehabRobo-Onto, to represent information about rehabilitation robots and their properties; and a software system RehabRobo-Query to facilitate access to this ontology. RehabRobo-Query is made available on the cloud, utilizing Amazon Web services, so that 1) rehabilitation robot designers around the world can add/modify information about their robots in RehabRobo-Onto, and 2) rehabilitation robot designers and physical medicine experts around the world can access the knowledge in RehabRobo-Onto by means of questions about robots, in natural language, with the guide of the intelligent userinterface of RehabRobo-Query. The ontology system consisting of RehabRobo-Onto and RehabRobo-Query is of great value to robot designers as well as physical therapists and medical doctors. On the one hand, robot designers can access various properties of the existing robots and to the related publications to further improve the state-of-the-art. On the other hand, physical therapists and medical doctors can utilize the ontology to compare rehabilitation robots and to identify the ones that serve best to cover their needs, or to evaluate the effects of various devices for targeted joint exercises on patients with specific disorders.

  2. Ontology-Based Administration of Web Directories

    NASA Astrophysics Data System (ADS)

    Horvat, Marko; Gledec, Gordan; Bogunović, Nikola

    Administration of a Web directory and maintenance of its content and the associated structure is a delicate and labor intensive task performed exclusively by human domain experts. Subsequently there is an imminent risk of a directory structures becoming unbalanced, uneven and difficult to use to all except for a few users proficient with the particular Web directory and its domain. These problems emphasize the need to establish two important issues: i) generic and objective measures of Web directories structure quality, and ii) mechanism for fully automated development of a Web directory's structure. In this paper we demonstrate how to formally and fully integrate Web directories with the Semantic Web vision. We propose a set of criteria for evaluation of a Web directory's structure quality. Some criterion functions are based on heuristics while others require the application of ontologies. We also suggest an ontology-based algorithm for construction of Web directories. By using ontologies to describe the semantics of Web resources and Web directories' categories it is possible to define algorithms that can build or rearrange the structure of a Web directory. Assessment procedures can provide feedback and help steer the ontology-based construction process. The issues raised in the article can be equally applied to new and existing Web directories.

  3. Bacterial Virus Ontology; Coordinating across Databases

    PubMed Central

    Hulo, Chantal; Masson, Patrick; Toussaint, Ariane; Osumi-Sutherland, David; de Castro, Edouard; Auchincloss, Andrea H.; Poux, Sylvain; Bougueleret, Lydie; Xenarios, Ioannis; Le Mercier, Philippe

    2017-01-01

    Bacterial viruses, also called bacteriophages, display a great genetic diversity and utilize unique processes for infecting and reproducing within a host cell. All these processes were investigated and indexed in the ViralZone knowledge base. To facilitate standardizing data, a simple ontology of viral life-cycle terms was developed to provide a common vocabulary for annotating data sets. New terminology was developed to address unique viral replication cycle processes, and existing terminology was modified and adapted. Classically, the viral life-cycle is described by schematic pictures. Using this ontology, it can be represented by a combination of successive events: entry, latency, transcription/replication, host–virus interactions and virus release. Each of these parts is broken down into discrete steps. For example enterobacteria phage lambda entry is broken down in: viral attachment to host adhesion receptor, viral attachment to host entry receptor, viral genome ejection and viral genome circularization. To demonstrate the utility of a standard ontology for virus biology, this work was completed by annotating virus data in the ViralZone, UniProtKB and Gene Ontology databases. PMID:28545254

  4. ICEPO: the ion channel electrophysiology ontology.

    PubMed

    Hinard, V; Britan, A; Rougier, J S; Bairoch, A; Abriel, H; Gaudet, P

    2016-01-01

    Ion channels are transmembrane proteins that selectively allow ions to flow across the plasma membrane and play key roles in diverse biological processes. A multitude of diseases, called channelopathies, such as epilepsies, muscle paralysis, pain syndromes, cardiac arrhythmias or hypoglycemia are due to ion channel mutations. A wide corpus of literature is available on ion channels, covering both their functions and their roles in disease. The research community needs to access this data in a user-friendly, yet systematic manner. However, extraction and integration of this increasing amount of data have been proven to be difficult because of the lack of a standardized vocabulary that describes the properties of ion channels at the molecular level. To address this, we have developed Ion Channel ElectroPhysiology Ontology (ICEPO), an ontology that allows one to annotate the electrophysiological parameters of the voltage-gated class of ion channels. This ontology is based on a three-state model of ion channel gating describing the three conformations/states that an ion channel can adopt: closed, open and inactivated. This ontology supports the capture of voltage-gated ion channel electrophysiological data from the literature in a structured manner and thus enables other applications such as querying and reasoning tools. Here, we present ICEPO (ICEPO ftp site:ftp://ftp.nextprot.org/pub/current_release/controlled_vocabularies/), as well as examples of its use. © The Author(s) 2016. Published by Oxford University Press.

  5. Ontological Performance: Bodies, Identities and Learning.

    ERIC Educational Resources Information Center

    Beckett, David; Morris, Gayle

    2001-01-01

    Within the framework of the body as a significant site for learning, case studies of staff in an eldercare facility and of adult learners of English as a second language are used to support the claim of ontological performance (practical embodied actions) as a way to approach adult learning for and at work. (Contains 38 references.) (SK)

  6. Production Determines Category: An Ontology of Art

    ERIC Educational Resources Information Center

    Weh, Michael

    2010-01-01

    It is a mainstream view within the ontology of art that there are singular as well as multiple artworks, but it is also a view that is contested. In this article, the author investigates whether the singular/multiple distinction can be sustained and argues for a new way to determine the category to which an artwork belongs. The author stresses…

  7. On Static and Dynamic Intuitive Ontologies

    ERIC Educational Resources Information Center

    Hammer, David; Gupta, Ayush; Redish, Edward F.

    2011-01-01

    The authors appreciate Professor Slotta's responding to their critique (Slotta, this issue). For their part, they believe that Professor Slotta has misinterpreted aspects of their position. In this commentary, the authors clarify two particular points. First, they explain their use of "static ontologies," which they maintain applies. Second, they…

  8. Development of an Ontology for Occupational Exposure

    EPA Science Inventory

    When discussing a scientific domain, the use of a common language is required, particularly when communicating across disciplines. This common language, or ontology, is a prescribed vocabulary and a web of contextual relationships within the vocabulary that describe the given dom...

  9. Interoperability between phenotype and anatomy ontologies

    PubMed Central

    Hoehndorf, Robert; Oellrich, Anika; Rebholz-Schuhmann, Dietrich

    2010-01-01

    Motivation: Phenotypic information is important for the analysis of the molecular mechanisms underlying disease. A formal ontological representation of phenotypic information can help to identify, interpret and infer phenotypic traits based on experimental findings. The methods that are currently used to represent data and information about phenotypes fail to make the semantics of the phenotypic trait explicit and do not interoperate with ontologies of anatomy and other domains. Therefore, valuable resources for the analysis of phenotype studies remain unconnected and inaccessible to automated analysis and reasoning. Results: We provide a framework to formalize phenotypic descriptions and make their semantics explicit. Based on this formalization, we provide the means to integrate phenotypic descriptions with ontologies of other domains, in particular anatomy and physiology. We demonstrate how our framework leads to the capability to represent disease phenotypes, perform powerful queries that were not possible before and infer additional knowledge. Availability: http://bioonto.de/pmwiki.php/Main/PheneOntology Contact: rh497@cam.ac.uk PMID:20971987

  10. Modeling biochemical pathways in the gene ontology

    PubMed Central

    Hill, David P.; D’Eustachio, Peter; Berardini, Tanya Z.; Mungall, Christopher J.; Renedo, Nikolai; Blake, Judith A.

    2016-01-01

    The concept of a biological pathway, an ordered sequence of molecular transformations, is used to collect and represent molecular knowledge for a broad span of organismal biology. Representations of biomedical pathways typically are rich but idiosyncratic presentations of organized knowledge about individual pathways. Meanwhile, biomedical ontologies and associated annotation files are powerful tools that organize molecular information in a logically rigorous form to support computational analysis. The Gene Ontology (GO), representing Molecular Functions, Biological Processes and Cellular Components, incorporates many aspects of biological pathways within its ontological representations. Here we present a methodology for extending and refining the classes in the GO for more comprehensive, consistent and integrated representation of pathways, leveraging knowledge embedded in current pathway representations such as those in the Reactome Knowledgebase and MetaCyc. With carbohydrate metabolic pathways as a use case, we discuss how our representation supports the integration of variant pathway classes into a unified ontological structure that can be used for data comparison and analysis. PMID:27589964

  11. In Defense of Chi's Ontological Incompatibility Hypothesis

    ERIC Educational Resources Information Center

    Slotta, James D.

    2011-01-01

    This article responds to an article by A. Gupta, D. Hammer, and E. F. Redish (2010) that asserts that M. T. H. Chi's (1992, 2005) hypothesis of an "ontological commitment" in conceptual development is fundamentally flawed. In this article, I argue that Chi's theoretical perspective is still very much intact and that the critique offered by Gupta…

  12. Ontology for cell-based geographic information

    NASA Astrophysics Data System (ADS)

    Zheng, Bin; Huang, Lina; Lu, Xinhai

    2009-10-01

    Inter-operability is a key notion in geographic information science (GIS) for the sharing of geographic information (GI). That requires a seamless translation among different information sources. Ontology is enrolled in GI discovery to settle the semantic conflicts for its natural language appearance and logical hierarchy structure, which are considered to be able to provide better context for both human understanding and machine cognition in describing the location and relationships in the geographic world. However, for the current, most studies on field ontology are deduced from philosophical theme and not applicable for the raster expression in GIS-which is a kind of field-like phenomenon but does not physically coincide to the general concept of philosophical field (mostly comes from the physics concepts). That's why we specifically discuss the cell-based GI ontology in this paper. The discussion starts at the investigation of the physical characteristics of cell-based raster GI. Then, a unified cell-based GI ontology framework for the recognition of the raster objects is introduced, from which a conceptual interface for the connection of the human epistemology and the computer world so called "endurant-occurrant window" is developed for the better raster GI discovery and sharing.

  13. Mapping between the OBO and OWL ontology languages

    PubMed Central

    2011-01-01

    Background Ontologies are commonly used in biomedicine to organize concepts to describe domains such as anatomies, environments, experiment, taxonomies etc. NCBO BioPortal currently hosts about 180 different biomedical ontologies. These ontologies have been mainly expressed in either the Open Biomedical Ontology (OBO) format or the Web Ontology Language (OWL). OBO emerged from the Gene Ontology, and supports most of the biomedical ontology content. In comparison, OWL is a Semantic Web language, and is supported by the World Wide Web consortium together with integral query languages, rule languages and distributed infrastructure for information interchange. These features are highly desirable for the OBO content as well. A convenient method for leveraging these features for OBO ontologies is by transforming OBO ontologies to OWL. Results We have developed a methodology for translating OBO ontologies to OWL using the organization of the Semantic Web itself to guide the work. The approach reveals that the constructs of OBO can be grouped together to form a similar layer cake. Thus we were able to decompose the problem into two parts. Most OBO constructs have easy and obvious equivalence to a construct in OWL. A small subset of OBO constructs requires deeper consideration. We have defined transformations for all constructs in an effort to foster a standard common mapping between OBO and OWL. Our mapping produces OWL-DL, a Description Logics based subset of OWL with desirable computational properties for efficiency and correctness. Our Java implementation of the mapping is part of the official Gene Ontology project source. Conclusions Our transformation system provides a lossless roundtrip mapping for OBO ontologies, i.e. an OBO ontology may be translated to OWL and back without loss of knowledge. In addition, it provides a roadmap for bridging the gap between the two ontology languages in order to enable the use of ontology content in a language independent manner

  14. Mapping between the OBO and OWL ontology languages.

    PubMed

    Tirmizi, Syed Hamid; Aitken, Stuart; Moreira, Dilvan A; Mungall, Chris; Sequeda, Juan; Shah, Nigam H; Miranker, Daniel P

    2011-03-07

    Ontologies are commonly used in biomedicine to organize concepts to describe domains such as anatomies, environments, experiment, taxonomies etc. NCBO BioPortal currently hosts about 180 different biomedical ontologies. These ontologies have been mainly expressed in either the Open Biomedical Ontology (OBO) format or the Web Ontology Language (OWL). OBO emerged from the Gene Ontology, and supports most of the biomedical ontology content. In comparison, OWL is a Semantic Web language, and is supported by the World Wide Web consortium together with integral query languages, rule languages and distributed infrastructure for information interchange. These features are highly desirable for the OBO content as well. A convenient method for leveraging these features for OBO ontologies is by transforming OBO ontologies to OWL. We have developed a methodology for translating OBO ontologies to OWL using the organization of the Semantic Web itself to guide the work. The approach reveals that the constructs of OBO can be grouped together to form a similar layer cake. Thus we were able to decompose the problem into two parts. Most OBO constructs have easy and obvious equivalence to a construct in OWL. A small subset of OBO constructs requires deeper consideration. We have defined transformations for all constructs in an effort to foster a standard common mapping between OBO and OWL. Our mapping produces OWL-DL, a Description Logics based subset of OWL with desirable computational properties for efficiency and correctness. Our Java implementation of the mapping is part of the official Gene Ontology project source. Our transformation system provides a lossless roundtrip mapping for OBO ontologies, i.e. an OBO ontology may be translated to OWL and back without loss of knowledge. In addition, it provides a roadmap for bridging the gap between the two ontology languages in order to enable the use of ontology content in a language independent manner.

  15. Bridging the gap between data acquisition and inference ontologies: toward ontology-based link discovery

    NASA Astrophysics Data System (ADS)

    Goldstein, Michel L.; Morris, Steven A.; Yen, Gary G.

    2003-09-01

    Bridging the gap between low level ontologies used for data acquisition and high level ontologies used for inference is essential to enable the discovery of high-level links between low-level entities. This is of utmost importance in many applications, where the semantic distance between the observable evidence and the target relations is large. Examples of these applications would be detection of terrorist activity, crime analysis, and technology monitoring, among others. Currently this inference gap has been filled by expert knowledge. However, with the increase of the data and system size, it has become too costly to perform such manual inference. This paper proposes a semi-automatic system to bridge the inference gap using network correlation methods, similar to Bayesian Belief Networks, combined with hierarchical clustering, to group and organize data so that experts can observe and build the inference gap ontologies quickly and efficiently, decreasing the cost of this labor-intensive process. A simple application of this method is shown here, where the co-author collaboration structure ontology is inferred from the analysis of a collection of journal publications on the subject of anthrax. This example uncovers a co-author collaboration structures (a well defined ontology) from a scientific publication dataset (also a well defined ontology). Nevertheless, the evidence of author collaboration is poorly defined, requiring the use of evidence from keywords, citations, publication dates, and paper co-authorship. The proposed system automatically suggests candidate collaboration group patterns for evaluation by experts. Using an intuitive graphic user interface, these experts identify, confirm and refine the proposed ontologies and add them to the ontology database to be used in subsequent processes.

  16. Ontological interpretation of biomedical database content.

    PubMed

    Santana da Silva, Filipe; Jansen, Ludger; Freitas, Fred; Schulz, Stefan

    2017-06-26

    Biological databases store data about laboratory experiments, together with semantic annotations, in order to support data aggregation and retrieval. The exact meaning of such annotations in the context of a database record is often ambiguous. We address this problem by grounding implicit and explicit database content in a formal-ontological framework. By using a typical extract from the databases UniProt and Ensembl, annotated with content from GO, PR, ChEBI and NCBI Taxonomy, we created four ontological models (in OWL), which generate explicit, distinct interpretations under the BioTopLite2 (BTL2) upper-level ontology. The first three models interpret database entries as individuals (IND), defined classes (SUBC), and classes with dispositions (DISP), respectively; the fourth model (HYBR) is a combination of SUBC and DISP. For the evaluation of these four models, we consider (i) database content retrieval, using ontologies as query vocabulary; (ii) information completeness; and, (iii) DL complexity and decidability. The models were tested under these criteria against four competency questions (CQs). IND does not raise any ontological claim, besides asserting the existence of sample individuals and relations among them. Modelling patterns have to be created for each type of annotation referent. SUBC is interpreted regarding maximally fine-grained defined subclasses under the classes referred to by the data. DISP attempts to extract truly ontological statements from the database records, claiming the existence of dispositions. HYBR is a hybrid of SUBC and DISP and is more parsimonious regarding expressiveness and query answering complexity. For each of the four models, the four CQs were submitted as DL queries. This shows the ability to retrieve individuals with IND, and classes in SUBC and HYBR. DISP does not retrieve anything because the axioms with disposition are embedded in General Class Inclusion (GCI) statements. Ambiguity of biological database content is

  17. Ontology-Driven Provenance Management in eScience: An Application in Parasite Research

    NASA Astrophysics Data System (ADS)

    Sahoo, Satya S.; Weatherly, D. Brent; Mutharaju, Raghava; Anantharam, Pramod; Sheth, Amit; Tarleton, Rick L.

    Provenance, from the French word "provenir", describes the lineage or history of a data entity. Provenance is critical information in scientific applications to verify experiment process, validate data quality and associate trust values with scientific results. Current industrial scale eScience projects require an end-to-end provenance management infrastructure. This infrastructure needs to be underpinned by formal semantics to enable analysis of large scale provenance information by software applications. Further, effective analysis of provenance information requires well-defined query mechanisms to support complex queries over large datasets. This paper introduces an ontology-driven provenance management infrastructure for biology experiment data, as part of the Semantic Problem Solving Environment (SPSE) for Trypanosoma cruzi (T.cruzi). This provenance infrastructure, called T.cruzi Provenance Management System (PMS), is underpinned by (a) a domain-specific provenance ontology called Parasite Experiment ontology, (b) specialized query operators for provenance analysis, and (c) a provenance query engine. The query engine uses a novel optimization technique based on materialized views called materialized provenance views (MPV) to scale with increasing data size and query complexity. This comprehensive ontology-driven provenance infrastructure not only allows effective tracking and management of ongoing experiments in the Tarleton Research Group at the Center for Tropical and Emerging Global Diseases (CTEGD), but also enables researchers to retrieve the complete provenance information of scientific results for publication in literature.

  18. Feature-opinion pair identification of product reviews in Chinese: a domain ontology modeling method

    NASA Astrophysics Data System (ADS)

    Yin, Pei; Wang, Hongwei; Guo, Kaiqiang

    2013-03-01

    With the emergence of the new economy based on social media, a great amount of consumer feedback on particular products are conveyed through wide-spreading product online reviews, making opinion mining a growing interest for both academia and industry. According to the characteristic mode of expression in Chinese, this research proposes an ontology-based linguistic model to identify the basic appraisal expression in Chinese product reviews-"feature-opinion pair (FOP)." The product-oriented domain ontology is constructed automatically at first, then algorithms to identify FOP are designed by mapping product features and opinions to the conceptual space of the domain ontology, and finally comparative experiments are conducted to evaluate the model. Experimental results indicate that the performance of the proposed approach in this paper is efficient in obtaining a more accurate result compared to the state-of-art algorithms. Furthermore, through identifying and analyzing FOPs, the unstructured product reviews are converted into structured and machine-sensible expression, which provides valuable information for business application. This paper contributes to the related research in opinion mining by developing a solid foundation for further sentiment analysis at a fine-grained level and proposing a general way for automatic ontology construction.

  19. Cross-Ontology multi-level association rule mining in the Gene Ontology.

    PubMed

    Manda, Prashanti; Ozkan, Seval; Wang, Hui; McCarthy, Fiona; Bridges, Susan M

    2012-01-01

    The Gene Ontology (GO) has become the internationally accepted standard for representing function, process, and location aspects of gene products. The wealth of GO annotation data provides a valuable source of implicit knowledge of relationships among these aspects. We describe a new method for association rule mining to discover implicit co-occurrence relationships across the GO sub-ontologies at multiple levels of abstraction. Prior work on association rule mining in the GO has concentrated on mining knowledge at a single level of abstraction and/or between terms from the same sub-ontology. We have developed a bottom-up generalization procedure called Cross-Ontology Data Mining-Level by Level (COLL) that takes into account the structure and semantics of the GO, generates generalized transactions from annotation data and mines interesting multi-level cross-ontology association rules. We applied our method on publicly available chicken and mouse GO annotation datasets and mined 5368 and 3959 multi-level cross ontology rules from the two datasets respectively. We show that our approach discovers more and higher quality association rules from the GO as evaluated by biologists in comparison to previously published methods. Biologically interesting rules discovered by our method reveal unknown and surprising knowledge about co-occurring GO terms.

  20. A histological ontology of the human cardiovascular system.

    PubMed

    Mazo, Claudia; Salazar, Liliana; Corcho, Oscar; Trujillo, Maria; Alegre, Enrique

    2017-10-02

    In this paper, we describe a histological ontology of the human cardiovascular system developed in collaboration among histology experts and computer scientists. The histological ontology is developed following an existing methodology using Conceptual Models (CMs) and validated using OOPS!, expert evaluation with CMs, and how accurately the ontology can answer the Competency Questions (CQ). It is publicly available at http://bioportal.bioontology.org/ontologies/HO and https://w3id.org/def/System . The histological ontology is developed to support complex tasks, such as supporting teaching activities, medical practices, and bio-medical research or having natural language interactions.

  1. Methodology to build medical ontology from textual resources.

    PubMed

    Baneyx, Audrey; Charlet, Jean; Jaulent, Marie-Christine

    2006-01-01

    In the medical field, it is now established that the maintenance of unambiguous thesauri goes through ontologies. Our research task is to help pneumologists code acts and diagnoses with a software that represents medical knowledge through a domain ontology. In this paper, we describe our general methodology aimed at knowledge engineers in order to build various types of medical ontologies based on terminology extraction from texts. The hypothesis is to apply natural language processing tools to textual patient discharge summaries to develop the resources needed to build an ontology in pneumology. Results indicate that the joint use of distributional analysis and lexico-syntactic patterns performed satisfactorily for building such ontologies.

  2. An ontology for Autism Spectrum Disorder (ASD) to infer ASD phenotypes from Autism Diagnostic Interview-Revised data.

    PubMed

    Mugzach, Omri; Peleg, Mor; Bagley, Steven C; Guter, Stephen J; Cook, Edwin H; Altman, Russ B

    2015-08-01

    Our goal is to create an ontology that will allow data integration and reasoning with subject data to classify subjects, and based on this classification, to infer new knowledge on Autism Spectrum Disorder (ASD) and related neurodevelopmental disorders (NDD). We take a first step toward this goal by extending an existing autism ontology to allow automatic inference of ASD phenotypes and Diagnostic & Statistical Manual of Mental Disorders (DSM) criteria based on subjects' Autism Diagnostic Interview-Revised (ADI-R) assessment data. Knowledge regarding diagnostic instruments, ASD phenotypes and risk factors was added to augment an existing autism ontology via Ontology Web Language class definitions and semantic web rules. We developed a custom Protégé plugin for enumerating combinatorial OWL axioms to support the many-to-many relations of ADI-R items to diagnostic categories in the DSM. We utilized a reasoner to infer whether 2642 subjects, whose data was obtained from the Simons Foundation Autism Research Initiative, meet DSM-IV-TR (DSM-IV) and DSM-5 diagnostic criteria based on their ADI-R data. We extended the ontology by adding 443 classes and 632 rules that represent phenotypes, along with their synonyms, environmental risk factors, and frequency of comorbidities. Applying the rules on the data set showed that the method produced accurate results: the true positive and true negative rates for inferring autistic disorder diagnosis according to DSM-IV criteria were 1 and 0.065, respectively; the true positive rate for inferring ASD based on DSM-5 criteria was 0.94. The ontology allows automatic inference of subjects' disease phenotypes and diagnosis with high accuracy. The ontology may benefit future studies by serving as a knowledge base for ASD. In addition, by adding knowledge of related NDDs, commonalities and differences in manifestations and risk factors could be automatically inferred, contributing to the understanding of ASD pathophysiology. Copyright

  3. From Industry to Assignment: Developing Curriculum through Industry Liaison.

    ERIC Educational Resources Information Center

    Scribner, Jean

    Responding to the increasing use of the DACUM (Developing A Curriculum) process as a means of meeting industry demands for relevant curricula, this paper describes an approach supplementing DACUM with direct contact with industry. Following introductory material on the increasing emphasis on meeting industry's needs for training, discussions are…

  4. The Computer Industry. High Technology Industries: Profiles and Outlooks.

    ERIC Educational Resources Information Center

    International Trade Administration (DOC), Washington, DC.

    A series of meetings was held to assess future problems in United States high technology, particularly in the fields of robotics, computers, semiconductors, and telecommunications. This report, which focuses on the computer industry, includes a profile of this industry and the papers presented by industry speakers during the meetings. The profile…

  5. Exploring biomedical ontology mappings with graph theory methods.

    PubMed

    Kocbek, Simon; Kim, Jin-Dong

    2017-01-01

    In the era of semantic web, life science ontologies play an important role in tasks such as annotating biological objects, linking relevant data pieces, and verifying data consistency. Understanding ontology structures and overlapping ontologies is essential for tasks such as ontology reuse and development. We present an exploratory study where we examine structure and look for patterns in BioPortal, a comprehensive publicly available repository of live science ontologies. We report an analysis of biomedical ontology mapping data over time. We apply graph theory methods such as Modularity Analysis and Betweenness Centrality to analyse data gathered at five different time points. We identify communities, i.e., sets of overlapping ontologies, and define similar and closest communities. We demonstrate evolution of identified communities over time and identify core ontologies of the closest communities. We use BioPortal project and category data to measure community coherence. We also validate identified communities with their mutual mentions in scientific literature. With comparing mapping data gathered at five different time points, we identified similar and closest communities of overlapping ontologies, and demonstrated evolution of communities over time. Results showed that anatomy and health ontologies tend to form more isolated communities compared to other categories. We also showed that communities contain all or the majority of ontologies being used in narrower projects. In addition, we identified major changes in mapping data after migration to BioPortal Version 4.

  6. Exploring biomedical ontology mappings with graph theory methods

    PubMed Central

    2017-01-01

    Background In the era of semantic web, life science ontologies play an important role in tasks such as annotating biological objects, linking relevant data pieces, and verifying data consistency. Understanding ontology structures and overlapping ontologies is essential for tasks such as ontology reuse and development. We present an exploratory study where we examine structure and look for patterns in BioPortal, a comprehensive publicly available repository of live science ontologies. Methods We report an analysis of biomedical ontology mapping data over time. We apply graph theory methods such as Modularity Analysis and Betweenness Centrality to analyse data gathered at five different time points. We identify communities, i.e., sets of overlapping ontologies, and define similar and closest communities. We demonstrate evolution of identified communities over time and identify core ontologies of the closest communities. We use BioPortal project and category data to measure community coherence. We also validate identified communities with their mutual mentions in scientific literature. Results With comparing mapping data gathered at five different time points, we identified similar and closest communities of overlapping ontologies, and demonstrated evolution of communities over time. Results showed that anatomy and health ontologies tend to form more isolated communities compared to other categories. We also showed that communities contain all or the majority of ontologies being used in narrower projects. In addition, we identified major changes in mapping data after migration to BioPortal Version 4. PMID:28265499

  7. Negative Findings in Electronic Health Records and Biomedical Ontologies: A Realist Approach

    PubMed Central

    Ceusters, Werner; Elkin, Peter; Smith, Barry

    2007-01-01

    PURPOSE A substantial fraction of the observations made by clinicians and entered into patient records are expressed by means of negation or by using terms which contain negative qualifiers (as in “absence of pulse” or “surgical procedure not performed”). This seems at first sight to present problems for ontologies, terminologies and data repositories that adhere to a realist view and thus reject any reference to putative non-existing entities. Basic Formal Ontology (BFO) and Referent Tracking (RT) are examples of such paradigms. The purpose of the research here described was to test a proposal to capture negative findings in electronic health record systems based on BFO and RT. METHODS We analysed a series of negative findings encountered in 748 sentences taken from 41 patient charts. We classified the phenomena described in terms of the various top-level categories and relations defined in BFO, taking into account the role of negation in the corresponding descriptions. We also studied terms from SNOMED-CT containing one or other form of negation. We then explored ways to represent the described phenomena by means of the types of representational units available to realist ontologies such as BFO. RESULTS We introduced a new family of ‘lacks’ relations into the OBO Relation Ontology. The relation lacks_part, for example, defined in terms of the positive relation part_of, holds between a particular p and a universal U when p has no instance of U as part. Since p and U both exist, assertions involving ‘lacks_part’ and its cognates meet the requirements of positivity. CONCLUSION By expanding the OBO Relation Ontology, we were able to accommodate nearly all occurrences of negative findings in the sample studied. PMID:17369081

  8. Research on the complex network of the UNSPSC ontology

    NASA Astrophysics Data System (ADS)

    Xu, Yingying; Zou, Shengrong; Gu, Aihua; Wei, Li; Zhou, Ta

    The UNSPSC ontology mainly applies to the classification system of the e-business and governments buying the worldwide products and services, and supports the logic structure of classification of the products and services. In this paper, the related technologies of the complex network were applied to analyzing the structure of the ontology. The concept of the ontology was corresponding to the node of the complex network, and the relationship of the ontology concept was corresponding to the edge of the complex network. With existing methods of analysis and performance indicators in the complex network, analyzing the degree distribution and community of the ontology, and the research will help evaluate the concept of the ontology, classify the concept of the ontology and improve the efficiency of semantic matching.

  9. An Ontology-Based Conceptual Model For Accumulating And Reusing Knowledge In A DMAIC Process

    NASA Astrophysics Data System (ADS)

    Nguyen, ThanhDat; Kifor, Claudiu Vasile

    2015-09-01

    DMAIC (Define, Measure, Analyze, Improve, and Control) is an important process used to enhance quality of processes basing on knowledge. However, it is difficult to access DMAIC knowledge. Conventional approaches meet a problem arising from structuring and reusing DMAIC knowledge. The main reason is that DMAIC knowledge is not represented and organized systematically. In this article, we overcome the problem basing on a conceptual model that is a combination of DMAIC process, knowledge management, and Ontology engineering. The main idea of our model is to utilizing Ontologies to represent knowledge generated by each of DMAIC phases. We build five different knowledge bases for storing all knowledge of DMAIC phases with the support of necessary tools and appropriate techniques in Information Technology area. Consequently, these knowledge bases provide knowledge available to experts, managers, and web users during or after DMAIC execution in order to share and reuse existing knowledge.

  10. A UML profile for the OBO relation ontology

    PubMed Central

    2012-01-01

    Background Ontologies have increasingly been used in the biomedical domain, which has prompted the emergence of different initiatives to facilitate their development and integration. The Open Biological and Biomedical Ontologies (OBO) Foundry consortium provides a repository of life-science ontologies, which are developed according to a set of shared principles. This consortium has developed an ontology called OBO Relation Ontology aiming at standardizing the different types of biological entity classes and associated relationships. Since ontologies are primarily intended to be used by humans, the use of graphical notations for ontology development facilitates the capture, comprehension and communication of knowledge between its users. However, OBO Foundry ontologies are captured and represented basically using text-based notations. The Unified Modeling Language (UML) provides a standard and widely-used graphical notation for modeling computer systems. UML provides a well-defined set of modeling elements, which can be extended using a built-in extension mechanism named Profile. Thus, this work aims at developing a UML profile for the OBO Relation Ontology to provide a domain-specific set of modeling elements that can be used to create standard UML-based ontologies in the biomedical domain. Results We have studied the OBO Relation Ontology, the UML metamodel and the UML profiling mechanism. Based on these studies, we have proposed an extension to the UML metamodel in conformance with the OBO Relation Ontology and we have defined a profile that implements the extended metamodel. Finally, we have applied the proposed UML profile in the development of a number of fragments from different ontologies. Particularly, we have considered the Gene Ontology (GO), the PRotein Ontology (PRO) and the Xenopus Anatomy and Development Ontology (XAO). Conclusions The use of an established and well-known graphical language in the development of biomedical ontologies provides a more

  11. Ontologies: Semantic Nirvana for Earth Science Model Interoperability? (Invited)

    NASA Astrophysics Data System (ADS)

    Graybeal, J.

    2009-12-01

    The Challenge: When we build a given model, we do so to meet today's needs. If the model is good, new people will want to use it in new ways. That tests how well the model can work in new contexts: new user groups, new science domains, or new data providers or data users. We can say a model is interoperable if it works well in each new case, with few or no changes. Here we deal with perhaps the least-addressed part of model interoperability: semantic interoperability, the ability of models to understand the meaning of each other's data. The Scenario: A model has been built that uses observational data, and creates output data sets. In subsequent years, the model must (a) be connected to another model and exchange data with it; (b) be evaluated and used by a scientist in another domain; (c) document its outputs for two different repositories that use different keywords; and (d) identify and incorporate new observation streams as they come on-line. All these steps are mostly done manually today, and explanations about the data exchanged in similar form. Can we make them more efficient, or even automated, by leveraging good semantic practices? A problem in each case is the use of local or community naming conventions that are not known to all parties. How can this be improved? The Reality: Many models use the standard name conventions and vocabularies specified by the netCDF COARDS Climate and Forecast conventions. These provide a good basic level of 'semantic interoperability', and for this reason alone Earth science models are semantically far ahead of most other Earth science data systems. Yet these conventions aren't always used, aren't always sufficient, and don't help us interoperate with lots of existing systems. What are the issues for semantic interoperability in modeling, how do ontologies and other semantic capabilities help us fix them, and are ontologies worth the trouble?

  12. OntoStudyEdit: a new approach for ontology-based representation and management of metadata in clinical and epidemiological research.

    PubMed

    Uciteli, Alexandr; Herre, Heinrich

    2015-01-01

    The specification of metadata in clinical and epidemiological study projects absorbs significant expense. The validity and quality of the collected data depend heavily on the precise and semantical correct representation of their metadata. In various research organizations, which are planning and coordinating studies, the required metadata are specified differently, depending on many conditions, e.g., on the used study management software. The latter does not always meet the needs of a particular research organization, e.g., with respect to the relevant metadata attributes and structuring possibilities. The objective of the research, set forth in this paper, is the development of a new approach for ontology-based representation and management of metadata. The basic features of this approach are demonstrated by the software tool OntoStudyEdit (OSE). The OSE is designed and developed according to the three ontology method. This method for developing software is based on the interactions of three different kinds of ontologies: a task ontology, a domain ontology and a top-level ontology. The OSE can be easily adapted to different requirements, and it supports an ontologically founded representation and efficient management of metadata. The metadata specifications can by imported from various sources; they can be edited with the OSE, and they can be exported in/to several formats, which are used, e.g., by different study management software. Advantages of this approach are the adaptability of the OSE by integrating suitable domain ontologies, the ontological specification of mappings between the import/export formats and the DO, the specification of the study metadata in a uniform manner and its reuse in different research projects, and an intuitive data entry for non-expert users.

  13. Copyright and Related Protections for Information Age Products. Proceedings and Related Documents of the Meeting of the Information Industry Association (Airlie House, Virginia on July 18 & 19, 1969).

    ERIC Educational Resources Information Center

    Information Industry Association, Washington, DC.

    The welcome and reasons for the meeting, presented by Mr. William T. Knox is followed by these papers: (1) Copyright in Its Historical and Philosophic Setting by Miss Barbara Ringer; (2) Copyright and Standard Reference Data Publications by Dr. Ed Brady; (3) Copyright Revision - Issues and Interests by Mrs. Bella Linden; (4) Court of Claims and…

  14. PAV ontology: provenance, authoring and versioning

    PubMed Central

    2013-01-01

    Background Provenance is a critical ingredient for establishing trust of published scientific content. This is true whether we are considering a data set, a computational workflow, a peer-reviewed publication or a simple scientific claim with supportive evidence. Existing vocabularies such as Dublin Core Terms (DC Terms) and the W3C Provenance Ontology (PROV-O) are domain-independent and general-purpose and they allow and encourage for extensions to cover more specific needs. In particular, to track authoring and versioning information of web resources, PROV-O provides a basic methodology but not any specific classes and properties for identifying or distinguishing between the various roles assumed by agents manipulating digital artifacts, such as author, contributor and curator. Results We present the Provenance, Authoring and Versioning ontology (PAV, namespace http://purl.org/pav/): a lightweight ontology for capturing “just enough” descriptions essential for tracking the provenance, authoring and versioning of web resources. We argue that such descriptions are essential for digital scientific content. PAV distinguishes between contributors, authors and curators of content and creators of representations in addition to the provenance of originating resources that have been accessed, transformed and consumed. We explore five projects (and communities) that have adopted PAV illustrating their usage through concrete examples. Moreover, we present mappings that show how PAV extends the W3C PROV-O ontology to support broader interoperability. Method The initial design of the PAV ontology was driven by requirements from the AlzSWAN project with further requirements incorporated later from other projects detailed in this paper. The authors strived to keep PAV lightweight and compact by including only those terms that have demonstrated to be pragmatically useful in existing applications, and by recommending terms from existing ontologies when plausible. Discussion

  15. Keyword Ontology Development for Discovering Hydrologic Data

    NASA Astrophysics Data System (ADS)

    Piasecki, Michael; Hooper, Rick; Choi, Yoori

    2010-05-01

    Supply of adequate keywords in data searches is a key element to building search clients. This is particularly true for science or engineering areas that straddle many subjects such as the hydrology field. The main difficulties that arise when trying to search across many disparate data holdings is that there are no norms that describe data sets uniformly (this is a lack of common metadata profiles) in particular when it comes to identifying them with recognizable labels. This leads to problems associated with hyponymy (a word or phrase whose semantic range is included within that of another) and synonymy (several terms are used to describe the same thing or parameter). Particularly the latter is endemic in the hydrologic data world and poses a substantial obstacle when trying to build information systems that can search for data across multiple data sources. This paper discusses the effort that has been undertaken within the Consortium of Universities for the Advancement of Hydrologic Sciences Inc. (CUAHSI: http://www.cuahsi.org) Hydrologic Information Systems (HIS) development group to overcome these semantic heterogeneities by developing a keyword ontology that can be navigated to identify search keywords of ascending or descending generality to identify parameter sets or fairly specific parameters that the search engine should be searching for. The general is to tag or connect any variable name to a presented leaf concept in the ontology that best describes what a specific data set represents. While the search environment is not part of this paper, we will describe the underlying ontology, its extent, the way it is organized and why, and what sources and considerations were taken into account in developing the current version. An initial ontology of 4033 leaf concepts describing physical, chemical and biological properties has been developed. These leaf concepts cover the vast majority of the records contained in major data sources such as the US Geological

  16. Developing an Ontology for Ocean Biogeochemistry Data

    NASA Astrophysics Data System (ADS)

    Chandler, C. L.; Allison, M. D.; Groman, R. C.; West, P.; Zednik, S.; Maffei, A. R.

    2010-12-01

    Semantic Web technologies offer great promise for enabling new and better scientific research. However, significant challenges must be met before the promise of the Semantic Web can be realized for a discipline as diverse as oceanography. Evolving expectations for open access to research data combined with the complexity of global ecosystem science research themes present a significant challenge, and one that is best met through an informatics approach. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the National Science Foundation Division of Ocean Sciences to work with ocean biogeochemistry researchers to improve access to data resulting from their respective programs. In an effort to improve data access, BCO-DMO staff members are collaborating with researchers from the Tetherless World Constellation (Rensselaer Polytechnic Institute) to develop an ontology that formally describes the concepts and relationships in the data managed by the BCO-DMO. The project required transforming a legacy system of human-readable, flat files of metadata to well-ordered controlled vocabularies to a fully developed ontology. To improve semantic interoperability, terms from the BCO-DMO controlled vocabularies are being mapped to controlled vocabulary terms adopted by other oceanographic data management organizations. While the entire process has proven to be difficult, time-consuming and labor-intensive, the work has been rewarding and is a necessary prerequisite for the eventual incorporation of Semantic Web tools. From the beginning of the project, development of the ontology has been guided by a use case based approach. The use cases were derived from data access related requests received from members of the research community served by the BCO-DMO. The resultant ontology satisfies the requirements of the use cases and reflects the information stored in the metadata database. The BCO-DMO metadata database currently contains information that

  17. PAV ontology: provenance, authoring and versioning.

    PubMed

    Ciccarese, Paolo; Soiland-Reyes, Stian; Belhajjame, Khalid; Gray, Alasdair Jg; Goble, Carole; Clark, Tim

    2013-11-22

    Provenance is a critical ingredient for establishing trust of published scientific content. This is true whether we are considering a data set, a computational workflow, a peer-reviewed publication or a simple scientific claim with supportive evidence. Existing vocabularies such as Dublin Core Terms (DC Terms) and the W3C Provenance Ontology (PROV-O) are domain-independent and general-purpose and they allow and encourage for extensions to cover more specific needs. In particular, to track authoring and versioning information of web resources, PROV-O provides a basic methodology but not any specific classes and properties for identifying or distinguishing between the various roles assumed by agents manipulating digital artifacts, such as author, contributor and curator. We present the Provenance, Authoring and Versioning ontology (PAV, namespace http://purl.org/pav/): a lightweight ontology for capturing "just enough" descriptions essential for tracking the provenance, authoring and versioning of web resources. We argue that such descriptions are essential for digital scientific content. PAV distinguishes between contributors, authors and curators of content and creators of representations in addition to the provenance of originating resources that have been accessed, transformed and consumed. We explore five projects (and communities) that have adopted PAV illustrating their usage through concrete examples. Moreover, we present mappings that show how PAV extends the W3C PROV-O ontology to support broader interoperability. The initial design of the PAV ontology was driven by requirements from the AlzSWAN project with further requirements incorporated later from other projects detailed in this paper. The authors strived to keep PAV lightweight and compact by including only those terms that have demonstrated to be pragmatically useful in existing applications, and by recommending terms from existing ontologies when plausible. We analyze and compare PAV with related

  18. Automated compound classification using a chemical ontology

    PubMed Central

    2012-01-01

    Background Classification of chemical compounds into compound classes by using structure derived descriptors is a well-established method to aid the evaluation and abstraction of compound properties in chemical compound databases. MeSH and recently ChEBI are examples of chemical ontologies that provide a hierarchical classification of compounds into general compound classes of biological interest based on their structural as well as property or use features. In these ontologies, compounds have been assigned manually to their respective classes. However, with the ever increasing possibilities to extract new compounds from text documents using name-to-structure tools and considering the large number of compounds deposited in databases, automated and comprehensive chemical classification methods are needed to avoid the error prone and time consuming manual classification of compounds. Results In the present work we implement principles and methods to construct a chemical ontology of classes that shall support the automated, high-quality compound classification in chemical databases or text documents. While SMARTS expressions have already been used to define chemical structure class concepts, in the present work we have extended the expressive power of such class definitions by expanding their structure-based reasoning logic. Thus, to achieve the required precision and granularity of chemical class definitions, sets of SMARTS class definitions are connected by OR and NOT logical operators. In addition, AND logic has been implemented to allow the concomitant use of flexible atom lists and stereochemistry definitions. The resulting chemical ontology is a multi-hierarchical taxonomy of concept nodes connected by directed, transitive relationships. Conclusions A proposal for a rule based definition of chemical classes has been made that allows to define chemical compound classes more precisely than before. The proposed structure-based reasoning logic allows to translate

  19. BiOSS: A system for biomedical ontology selection.

    PubMed

    Martínez-Romero, Marcos; Vázquez-Naya, José M; Pereira, Javier; Pazos, Alejandro

    2014-04-01

    In biomedical informatics, ontologies are considered a key technology for annotating, retrieving and sharing the huge volume of publicly available data. Due to the increasing amount, complexity and variety of existing biomedical ontologies, choosing the ones to be used in a semantic annotation problem or to design a specific application is a difficult task. As a consequence, the design of approaches and tools addressed to facilitate the selection of biomedical ontologies is becoming a priority. In this paper we present BiOSS, a novel system for the selection of biomedical ontologies. BiOSS evaluates the adequacy of an ontology to a given domain according to three different criteria: (1) the extent to which the ontology covers the domain; (2) the semantic richness of the ontology in the domain; (3) the popularity of the ontology in the biomedical community. BiOSS has been applied to 5 representative problems of ontology selection. It also has been compared to existing methods and tools. Results are promising and show the usefulness of BiOSS to solve real-world ontology selection problems. BiOSS is openly available both as a web tool and a web service. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  20. Construction of ontology augmented networks for protein complex prediction.

    PubMed

    Zhang, Yijia; Lin, Hongfei; Yang, Zhihao; Wang, Jian

    2013-01-01

    Protein complexes are of great importance in understanding the principles of cellular organization and function. The increase in available protein-protein interaction data, gene ontology and other resources make it possible to develop computational methods for protein complex prediction. Most existing methods focus mainly on the topological structure of protein-protein interaction networks, and largely ignore the gene ontology annotation information. In this article, we constructed ontology augmented networks with protein-protein interaction data and gene ontology, which effectively unified the topological structure of protein-protein interaction networks and the similarity of gene ontology annotations into unified distance measures. After constructing ontology augmented networks, a novel method (clustering based on ontology augmented networks) was proposed to predict protein complexes, which was capable of taking into account the topological structure of the protein-protein interaction network, as well as the similarity of gene ontology annotations. Our method was applied to two different yeast protein-protein interaction datasets and predicted many well-known complexes. The experimental results showed that (i) ontology augmented networks and the unified distance measure can effectively combine the structure closeness and gene ontology annotation similarity; (ii) our method is valuable in predicting protein complexes and has higher F1 and accuracy compared to other competing methods.

  1. A UML profile for the OBO relation ontology.

    PubMed

    Guardia, Gabriela D A; Vêncio, Ricardo Z N; de Farias, Cléver R G

    2012-01-01

    Ontologies have increasingly been used in the biomedical domain, which has prompted the emergence of different initiatives to facilitate their development and integration. The Open Biological and Biomedical Ontologies (OBO) Foundry consortium provides a repository of life-science ontologies, which are developed according to a set of shared principles. This consortium has developed an ontology called OBO Relation Ontology aiming at standardizing the different types of biological entity classes and associated relationships. Since ontologies are primarily intended to be used by humans, the use of graphical notations for ontology development facilitates the capture, comprehension and communication of knowledge between its users. However, OBO Foundry ontologies are captured and represented basically using text-based notations. The Unified Modeling Language (UML) provides a standard and widely-used graphical notation for modeling computer systems. UML provides a well-defined set of modeling elements, which can be extended using a built-in extension mechanism named Profile. Thus, this work aims at developing a UML profile for the OBO Relation Ontology to provide a domain-specific set of modeling elements that can be used to create standard UML-based ontologies in the biomedical domain.

  2. Modular Ontology Techniques and their Applications in the Biomedical Domain.

    PubMed

    Pathak, Jyotishman; Johnson, Thomas M; Chute, Christopher G

    2008-08-05

    In the past several years, various ontologies and terminologies such as the Gene Ontology have been developed to enable interoperability across multiple diverse medical information systems. They provide a standard way of representing terms and concepts thereby supporting easy transmission and interpretation of data for various applications. However, with their growing utilization, not only has the number of available ontologies increased considerably, but they are also becoming larger and more complex to manage. Toward this end, a growing body of work is emerging in the area of modular ontologies where the emphasis is on either extracting and managing "modules" of an ontology relevant to a particular application scenario (ontology decomposition) or developing them independently and integrating into a larger ontology (ontology composition). In this paper, we investigate state-of-the-art approaches in modular ontologies focusing on techniques that are based on rigorous logical formalisms as well as well-studied graph theories. We analyze and compare how such approaches can be leveraged in developing tools and applications in the biomedical domain. We conclude by highlighting some of the limitations of the modular ontology formalisms and put forward additional requirements to steer their future development.

  3. Quality control for terms and definitions in ontologies and taxonomies

    PubMed Central

    Köhler, Jacob; Munn, Katherine; Rüegg, Alexander; Skusa, Andre; Smith, Barry

    2006-01-01

    Background Ontologies and taxonomies are among the most important computational resources for molecular biology and bioinformatics. A series of recent papers has shown that the Gene Ontology (GO), the most prominent taxonomic resource in these fields, is marked by flaws of certain characteristic types, which flow from a failure to address basic ontological principles. As yet, no methods have been proposed which would allow ontology curators to pinpoint flawed terms or definitions in ontologies in a systematic way. Results We present computational methods that automatically identify terms and definitions which are defined in a circular or unintelligible way. We further demonstrate the potential of these methods by applying them to isolate a subset of 6001 problematic GO terms. By automatically aligning GO with other ontologies and taxonomies we were able to propose alternative synonyms and definitions for some of these problematic terms. This allows us to demonstrate that these other resources do not contain definitions superior to those supplied by GO. Conclusion Our methods provide reliable indications of the quality of terms and definitions in ontologies and taxonomies. Further, they are well suited to assist ontology curators in drawing their attention to those terms that are ill-defined. We have further shown the limitations of ontology mapping and alignment in assisting ontology curators in rectifying problems, thus pointing to the need for manual curation. PMID:16623942

  4. Mining Gene Ontology Data with AGENDA.

    PubMed

    Ovezmyradov, Guvanch; Lu, Qianhao; Göpfert, Martin C

    2012-01-01

    The Gene Ontology (GO) initiative is a collaborative effort that uses controlled vocabularies for annotating genetic information. We here present AGENDA (Application for mining Gene Ontology Data), a novel web-based tool for accessing the GO database. AGENDA allows the user to simultaneously retrieve and compare gene lists linked to different GO terms in diverse species using batch queries, facilitating comparative approaches to genetic information. The web-based application offers diverse search options and allows the user to bookmark, visualize, and download the results. AGENDA is an open source web-based application that is freely available for non-commercial use at the project homepage. URL: http://sourceforge.net/projects/bioagenda.

  5. Quality of computationally inferred gene ontology annotations.

    PubMed

    Skunca, Nives; Altenhoff, Adrian; Dessimoz, Christophe

    2012-05-01

    Gene Ontology (GO) has established itself as the undisputed standard for protein function annotation. Most annotations are inferred electronically, i.e. without individual curator supervision, but they are widely considered unreliable. At the same time, we crucially depend on those automated annotations, as most newly sequenced genomes are non-model organisms. Here, we introduce a methodology to systematically and quantitatively evaluate electronic annotations. By exploiting changes in successive releases of the UniProt Gene Ontology Annotation database, we assessed the quality of electronic annotations in terms of specificity, reliability, and coverage. Overall, we not only found that electronic annotations have significantly improved in recent years, but also that their reliability now rivals that of annotations inferred by curators when they use evidence other than experiments from primary literature. This work provides the means to identify the subset of electronic annotations that can be relied upon-an important outcome given that >98% of all annotations are inferred without direct curation.

  6. Using ontologies to describe mouse phenotypes

    PubMed Central

    Gkoutos, Georgios V; Green, Eain CJ; Mallon, Ann-Marie; Hancock, John M; Davidson, Duncan

    2005-01-01

    The mouse is an important model of human genetic disease. Describing phenotypes of mutant mice in a standard, structured manner that will facilitate data mining is a major challenge for bioinformatics. Here we describe a novel, compositional approach to this problem which combines core ontologies from a variety of sources. This produces a framework with greater flexibility, power and economy than previous approaches. We discuss some of the issues this approach raises. PMID:15642100

  7. An ontology-driven, diagnostic modeling system.

    PubMed

    Haug, Peter J; Ferraro, Jeffrey P; Holmen, John; Wu, Xinzi; Mynam, Kumar; Ebert, Matthew; Dean, Nathan; Jones, Jason

    2013-06-01

    To present a system that uses knowledge stored in a medical ontology to automate the development of diagnostic decision support systems. To illustrate its function through an example focused on the development of a tool for diagnosing pneumonia. We developed a system that automates the creation of diagnostic decision-support applications. It relies on a medical ontology to direct the acquisition of clinic data from a clinical data warehouse and uses an automated analytic system to apply a sequence of machine learning algorithms that create applications for diagnostic screening. We refer to this system as the ontology-driven diagnostic modeling system (ODMS). We tested this system using samples of patient data collected in Salt Lake City emergency rooms and stored in Intermountain Healthcare's enterprise data warehouse. The system was used in the preliminary development steps of a tool to identify patients with pneumonia in the emergency department. This tool was compared with a manually created diagnostic tool derived from a curated dataset. The manually created tool is currently in clinical use. The automatically created tool had an area under the receiver operating characteristic curve of 0.920 (95% CI 0.916 to 0.924), compared with 0.944 (95% CI 0.942 to 0.947) for the manually created tool. Initial testing of the ODMS demonstrates promising accuracy for the highly automated results and illustrates the route to model improvement. The use of medical knowledge, embedded in ontologies, to direct the initial development of diagnostic computing systems appears feasible.

  8. A Uniform Ontology for Software Interfaces

    NASA Technical Reports Server (NTRS)

    Feyock, Stefan

    2002-01-01

    It is universally the case that computer users who are not also computer specialists prefer to deal with computers' in terms of a familiar ontology, namely that of their application domains. For example, the well-known Windows ontology assumes that the user is an office worker, and therefore should be presented with a "desktop environment" featuring entities such as (virtual) file folders, documents, appointment calendars, and the like, rather than a world of machine registers and machine language instructions, or even the DOS command level. The central theme of this research has been the proposition that the user interacting with a software system should have at his disposal both the ontology underlying the system, as well as a model of the system. This information is necessary for the understanding of the system in use, as well as for the automatic generation of assistance for the user, both in solving the problem for which the application is designed, and for providing guidance in the capabilities and use of the system.

  9. Defining functional distances over Gene Ontology

    PubMed Central

    del Pozo, Angela; Pazos, Florencio; Valencia, Alfonso

    2008-01-01

    Background A fundamental problem when trying to define the functional relationships between proteins is the difficulty in quantifying functional similarities, even when well-structured ontologies exist regarding the activity of proteins (i.e. 'gene ontology' -GO-). However, functional metrics can overcome the problems in the comparing and evaluating functional assignments and predictions. As a reference of proximity, previous approaches to compare GO terms considered linkage in terms of ontology weighted by a probability distribution that balances the non-uniform 'richness' of different parts of the Direct Acyclic Graph. Here, we have followed a different approach to quantify functional similarities between GO terms. Results We propose a new method to derive 'functional distances' between GO terms that is based on the simultaneous occurrence of terms in the same set of Interpro entries, instead of relying on the structure of the GO. The coincidence of GO terms reveals natural biological links between the GO functions and defines a distance model Df which fulfils the properties of a Metric Space. The distances obtained in this way can be represented as a hierarchical 'Functional Tree'. Conclusion The method proposed provides a new definition of distance that enables the similarity between GO terms to be quantified. Additionally, the 'Functional Tree' defines groups with biological meaning enhancing its utility for protein function comparison and prediction. Finally, this approach could be for function-based protein searches in databases, and for analysing the gene clusters produced by DNA array experiments. PMID:18221506

  10. Annotating the human genome with Disease Ontology

    PubMed Central

    Osborne, John D; Flatow, Jared; Holko, Michelle; Lin, Simon M; Kibbe, Warren A; Zhu, Lihua (Julie); Danila, Maria I; Feng, Gang; Chisholm, Rex L

    2009-01-01

    Background The human genome has been extensively annotated with Gene Ontology for biological functions, but minimally computationally annotated for diseases. Results We used the Unified Medical Language System (UMLS) MetaMap Transfer tool (MMTx) to discover gene-disease relationships from the GeneRIF database. We utilized a comprehensive subset of UMLS, which is disease-focused and structured as a directed acyclic graph (the Disease Ontology), to filter and interpret results from MMTx. The results were validated against the Homayouni gene collection using recall and precision measurements. We compared our results with the widely used Online Mendelian Inheritance in Man (OMIM) annotations. Conclusion The validation data set suggests a 91% recall rate and 97% precision rate of disease annotation using GeneRIF, in contrast with a 22% recall and 98% precision using OMIM. Our thesaurus-based approach allows for comparisons to be made between disease containing databases and allows for increased accuracy in disease identification through synonym matching. The much higher recall rate of our approach demonstrates that annotating human genome with Disease Ontology and GeneRIF for diseases dramatically increases the coverage of the disease annotation of human genome. PMID:19594883

  11. Automated database mediation using ontological metadata mappings.

    PubMed

    Marenco, Luis; Wang, Rixin; Nadkarni, Prakash

    2009-01-01

    To devise an automated approach for integrating federated database information using database ontologies constructed from their extended metadata. One challenge of database federation is that the granularity of representation of equivalent data varies across systems. Dealing effectively with this problem is analogous to dealing with precoordinated vs. postcoordinated concepts in biomedical ontologies. The authors describe an approach based on ontological metadata mapping rules defined with elements of a global vocabulary, which allows a query specified at one granularity level to fetch data, where possible, from databases within the federation that use different granularities. This is implemented in OntoMediator, a newly developed production component of our previously described Query Integrator System. OntoMediator's operation is illustrated with a query that accesses three geographically separate, interoperating databases. An example based on SNOMED also illustrates the applicability of high-level rules to support the enforcement of constraints that can prevent inappropriate curator or power-user actions. A rule-based framework simplifies the design and maintenance of systems where categories of data must be mapped to each other, for the purpose of either cross-database query or for curation of the contents of compositional controlled vocabularies.

  12. Using Ontology Network Structure in Text Mining

    PubMed Central

    Berndt, Donald J.; McCart, James A.; Luther, Stephen L.

    2010-01-01

    Statistical text mining treats documents as bags of words, with a focus on term frequencies within documents and across document collections. Unlike natural language processing (NLP) techniques that rely on an engineered vocabulary or a full-featured ontology, statistical approaches do not make use of domain-specific knowledge. The freedom from biases can be an advantage, but at the cost of ignoring potentially valuable knowledge. The approach proposed here investigates a hybrid strategy based on computing graph measures of term importance over an entire ontology and injecting the measures into the statistical text mining process. As a starting point, we adapt existing search engine algorithms such as PageRank and HITS to determine term importance within an ontology graph. The graph-theoretic approach is evaluated using a smoking data set from the i2b2 National Center for Biomedical Computing, cast as a simple binary classification task for categorizing smoking-related documents, demonstrating consistent improvements in accuracy. PMID:21346937

  13. Ontological knowledge structure of intuitive biology

    NASA Astrophysics Data System (ADS)

    Martin, Suzanne Michele

    It has become increasingly important for individuals to understand infections disease, as there has been a tremendous rise in viral and bacterial disease. This research examines systematic misconceptions regarding the characteristics of viruses and bacteria present in individuals previously educated in biological sciences at a college level. 90 pre-nursing students were administered the Knowledge Acquisition Device (KAD) which consists of 100 True/False items that included statements about the possible attributes of four entities: bacteria, virus, amoeba, and protein. Thirty pre-nursing students, who incorrectly stated that viruses were alive, were randomly assigned to three conditions. (1) exposed to information about the ontological nature of viruses, (2) Information about viruses, (3) control. In the condition that addressed the ontological nature of a virus, all of those participants were able to classify viruses correctly as not alive; however any items that required inferences, such as viruses come in male and female forms or viruses breed with each other to make baby viruses were still incorrectly answered by all conditions in the posttest. It appears that functional knowledge, ex. If a virus is alive or dead, or how it is structured, is not enough for an individual to have a full and accurate understanding of viruses. Ontological knowledge information may alter the functional knowledge but underlying inferences remain systematically incorrect.

  14. The Human Phenotype Ontology in 2017

    PubMed Central

    Köhler, Sebastian; Vasilevsky, Nicole A.; Engelstad, Mark; Foster, Erin; McMurry, Julie; Aymé, Ségolène; Baynam, Gareth; Bello, Susan M.; Boerkoel, Cornelius F.; Boycott, Kym M.; Brudno, Michael; Buske, Orion J.; Chinnery, Patrick F.; Cipriani, Valentina; Connell, Laureen E.; Dawkins, Hugh J.S.; DeMare, Laura E.; Devereau, Andrew D.; de Vries, Bert B.A.; Firth, Helen V.; Freson, Kathleen; Greene, Daniel; Hamosh, Ada; Helbig, Ingo; Hum, Courtney; Jähn, Johanna A.; James, Roger; Krause, Roland; F. Laulederkind, Stanley J.; Lochmüller, Hanns; Lyon, Gholson J.; Ogishima, Soichi; Olry, Annie; Ouwehand, Willem H.; Pontikos, Nikolas; Rath, Ana; Schaefer, Franz; Scott, Richard H.; Segal, Michael; Sergouniotis, Panagiotis I.; Sever, Richard; Smith, Cynthia L.; Straub, Volker; Thompson, Rachel; Turner, Catherine; Turro, Ernest; Veltman, Marijcke W.M.; Vulliamy, Tom; Yu, Jing; von Ziegenweidt, Julie; Zankl, Andreas; Züchner, Stephan; Zemojtel, Tomasz; Jacobsen, Julius O.B.; Groza, Tudor; Smedley, Damian; Mungall, Christopher J.; Haendel, Melissa; Robinson, Peter N.

    2017-01-01

    Deep phenotyping has been defined as the precise and comprehensive analysis of phenotypic abnormalities in which the individual components of the phenotype are observed and described. The three components of the Human Phenotype Ontology (HPO; www.human-phenotype-ontology.org) project are the phenotype vocabulary, disease-phenotype annotations and the algorithms that operate on these. These components are being used for computational deep phenotyping and precision medicine as well as integration of clinical data into translational research. The HPO is being increasingly adopted as a standard for phenotypic abnormalities by diverse groups such as international rare disease organizations, registries, clinical labs, biomedical resources, and clinical software tools and will thereby contribute toward nascent efforts at global data exchange for identifying disease etiologies. This update article reviews the progress of the HPO project since the debut Nucleic Acids Research database article in 2014, including specific areas of expansion such as common (complex) disease, new algorithms for phenotype driven genomic discovery and diagnostics, integration of cross-species mapping efforts with the Mammalian Phenotype Ontology, an improved quality control pipeline, and the addition of patient-friendly terminology. PMID:27899602

  15. Ontological System for Context Artifacts and Resources

    NASA Astrophysics Data System (ADS)

    Huang, T.; Chung, N. T.; Mukherjee, R. M.

    2012-12-01

    The Adaptive Vehicle Make (AVM) program is a portfolio of programs, managed by the Defense Advanced Research Projects Agency (DARPA). It was established to revolutionize how DoD designs, verifies, and manufactures complex defense systems and vehicles. The Component, Context, and Manufacturing Model Library (C2M2L; pronounced "camel") seeks to develop domain-specific models needed to enable design, verification, and fabrication of the Fast Adaptable Next-Generation (FANG) infantry fighting vehicle using in its overall infrastructure. Terrain models are being developed to represent the surface/fluid that an amphibious infantry fighting vehicle would traverse, ranging from paved road surfaces to rocky, mountainous terrain, slope, discrete obstacles, mud, sand snow, and water fording. Context models are being developed to provide additional data for environmental factors, such as: humidity, wind speed, particulate presence and character, solar radiation, cloud cover, precipitation, and more. The Ontological System for Context Artifacts and Resources (OSCAR) designed and developed at the Jet Propulsion Laboratory is semantic web data system that enables context artifacts to be registered and searched according to their meaning, rather than indexed according to their syntactic structure alone (as in the case for traditional search engines). The system leverages heavily on the Semantic Web for Earth and Environmental Terminology (SWEET) ontologies to model physical terrain environment and context model characteristics. In this talk, we focus on the application of the SWEET ontologies and the design of the OSCAR system architecture.

  16. Cyber Forensics Ontology for Cyber Criminal Investigation

    NASA Astrophysics Data System (ADS)

    Park, Heum; Cho, Sunho; Kwon, Hyuk-Chul

    We developed Cyber Forensics Ontology for the criminal investigation in cyber space. Cyber crime is classified into cyber terror and general cyber crime, and those two classes are connected with each other. The investigation of cyber terror requires high technology, system environment and experts, and general cyber crime is connected with general crime by evidence from digital data and cyber space. Accordingly, it is difficult to determine relational crime types and collect evidence. Therefore, we considered the classifications of cyber crime, the collection of evidence in cyber space and the application of laws to cyber crime. In order to efficiently investigate cyber crime, it is necessary to integrate those concepts for each cyber crime-case. Thus, we constructed a cyber forensics domain ontology for criminal investigation in cyber space, according to the categories of cyber crime, laws, evidence and information of criminals. This ontology can be used in the process of investigating of cyber crime-cases, and for data mining of cyber crime; classification, clustering, association and detection of crime types, crime cases, evidences and criminals.

  17. The Human Phenotype Ontology in 2017.

    PubMed

    Köhler, Sebastian; Vasilevsky, Nicole A; Engelstad, Mark; Foster, Erin; McMurry, Julie; Aymé, Ségolène; Baynam, Gareth; Bello, Susan M; Boerkoel, Cornelius F; Boycott, Kym M; Brudno, Michael; Buske, Orion J; Chinnery, Patrick F; Cipriani, Valentina; Connell, Laureen E; Dawkins, Hugh J S; DeMare, Laura E; Devereau, Andrew D; de Vries, Bert B A; Firth, Helen V; Freson, Kathleen; Greene, Daniel; Hamosh, Ada; Helbig, Ingo; Hum, Courtney; Jähn, Johanna A; James, Roger; Krause, Roland; F Laulederkind, Stanley J; Lochmüller, Hanns; Lyon, Gholson J; Ogishima, Soichi; Olry, Annie; Ouwehand, Willem H; Pontikos, Nikolas; Rath, Ana; Schaefer, Franz; Scott, Richard H; Segal, Michael; Sergouniotis, Panagiotis I; Sever, Richard; Smith, Cynthia L; Straub, Volker; Thompson, Rachel; Turner, Catherine; Turro, Ernest; Veltman, Marijcke W M; Vulliamy, Tom; Yu, Jing; von Ziegenweidt, Julie; Zankl, Andreas; Züchner, Stephan; Zemojtel, Tomasz; Jacobsen, Julius O B; Groza, Tudor; Smedley, Damian; Mungall, Christopher J; Haendel, Melissa; Robinson, Peter N

    2017-01-04

    Deep phenotyping has been defined as the precise and comprehensive analysis of phenotypic abnormalities in which the individual components of the phenotype are observed and described. The three components of the Human Phenotype Ontology (HPO; www.human-phenotype-ontology.org) project are the phenotype vocabulary, disease-phenotype annotations and the algorithms that operate on these. These components are being used for computational deep phenotyping and precision medicine as well as integration of clinical data into translational research. The HPO is being increasingly adopted as a standard for phenotypic abnormalities by diverse groups such as international rare disease organizations, registries, clinical labs, biomedical resources, and clinical software tools and will thereby contribute toward nascent efforts at global data exchange for identifying disease etiologies. This update article reviews the progress of the HPO project since the debut Nucleic Acids Research database article in 2014, including specific areas of expansion such as common (complex) disease, new algorithms for phenotype driven genomic discovery and diagnostics, integration of cross-species mapping efforts with the Mammalian Phenotype Ontology, an improved quality control pipeline, and the addition of patient-friendly terminology.

  18. THE COMPOSITIONAL STRUCTURE OF GENE ONTOLOGY TERMS

    PubMed Central

    OGREN, P. V.; COHEN, K. B.; ACQUAAH-MENSAH, G. K.; EBERLEIN, J.; HUNTER, L.

    2008-01-01

    An analysis of the term names in the Gene Ontology reveals the prevalence of substring relations between terms: 65.3% of all GO terms contain another GO term as a proper substring. This substring relation often coincides with a derivational relationship between the terms. For example, the term regulation of cell proliferation (GO:0042127) is derived from the term cell proliferation (GO:0008283) by addition of the phrase regulation of. Further, we note that particular substrings which are not themselves GO terms (e.g. regulation of in the preceding example) recur frequently and in consistent subtrees of the ontology, and that these frequently occurring substrings often indicate interesting semantic relationships between the related terms. We describe the extent of these phenomena—substring relations between terms, and the recurrence of derivational phrases such as regulation of—and propose that these phenomena can be exploited in various ways to make the information in GO more computationally accessible, to construct a conceptually richer representation of the data encoded in the ontology, and to assist in the analysis of natural language texts. PMID:14992505

  19. Ontology-Based Search of Genomic Metadata.

    PubMed

    Fernandez, Javier D; Lenzerini, Maurizio; Masseroli, Marco; Venco, Francesco; Ceri, Stefano

    2016-01-01

    The Encyclopedia of DNA Elements (ENCODE) is a huge and still expanding public repository of more than 4,000 experiments and 25,000 data files, assembled by a large international consortium since 2007; unknown biological knowledge can be extracted from these huge and largely unexplored data, leading to data-driven genomic, transcriptomic, and epigenomic discoveries. Yet, search of relevant datasets for knowledge discovery is limitedly supported: metadata describing ENCODE datasets are quite simple and incomplete, and not described by a coherent underlying ontology. Here, we show how to overcome this limitation, by adopting an ENCODE metadata searching approach which uses high-quality ontological knowledge and state-of-the-art indexing technologies. Specifically, we developed S.O.S. GeM (http://www.bioinformatics.deib.polimi.it/SOSGeM/), a system supporting effective semantic search and retrieval of ENCODE datasets. First, we constructed a Semantic Knowledge Base by starting with concepts extracted from ENCODE metadata, matched to and expanded on biomedical ontologies integrated in the well-established Unified Medical Language System. We prove that this inference method is sound and complete. Then, we leveraged the Semantic Knowledge Base to semantically search ENCODE data from arbitrary biologists' queries. This allows correctly finding more datasets than those extracted by a purely syntactic search, as supported by the other available systems. We empirically show the relevance of found datasets to the biologists' queries.

  20. Development and Evaluation of an Adolescents' Depression Ontology for Analyzing Social Data.

    PubMed

    Jung, Hyesil; Park, Hyeoun-Ae; Song, Tae-Min

    2016-01-01

    This study aims to develop and evaluate an ontology for adolescents' depression to be used for collecting and analyzing social data. The ontology was developed according to the 'ontology development 101' methodology. Concepts were extracted from clinical practice guidelines and related literatures. The ontology is composed of five sub-ontologies which represent risk factors, sign and symptoms, measurement, diagnostic result and management care. The ontology was evaluated in four different ways: First, we examined the frequency of ontology concept appeared in social data; Second, the content coverage of ontology was evaluated by comparing ontology concepts with concepts extracted from the youth depression counseling records; Third, the structural and representational layer of the ontology were evaluated by 5 ontology and psychiatric nursing experts; Fourth, the scope of the ontology was examined by answering 59 competency questions. The ontology was improved by adding new concepts and synonyms and revising the level of structure.