Science.gov

Sample records for semantic knowledge management

  1. Improving knowledge management systems with latent semantic analysis

    SciTech Connect

    Sebok, A.; Plott, C.; LaVoie, N.

    2006-07-01

    Latent Semantic Analysis (LSA) offers a technique for improving lessons learned and knowledge management systems. These systems are expected to become more widely used in the nuclear industry, as experienced personnel leave and are replaced by younger, less-experienced workers. LSA is a machine learning technology that allows searching of text based on meaning rather than predefined keywords or categories. Users can enter and retrieve data using their own words, rather than relying on constrained language lists or navigating an artificially structured database. LSA-based tools can greatly enhance the usability and usefulness of knowledge management systems and thus provide a valuable tool to assist nuclear industry personnel in gathering and transferring worker expertise. (authors)

  2. Semantically Enriched Tools for the Knowledge Society: Case of Project Management and Presentation

    NASA Astrophysics Data System (ADS)

    Talaš, Jakub; Gregar, Tomáš; Pitner, Tomáš

    Working with semantically rich data is one of the stepping stones to the knowledge society. In recent years, gathering, processing, and using semantic data have made a big progress, particularly in the academic environment. However, the advantages of the semantic description remain commonly undiscovered by a "common user", including people from academia and IT industry that could otherwise profit from capabilities of contemporary semantic systems in the areas of project management and/or technology-enhanced learning. Mostly, the root cause lays in complexity and non-transparency of the mainstream semantic applications. The semantic tool for project management and presentation consists mainly of a module for the semantic annotation of wiki pages integrated into the project management system Trac. It combines the dynamic, easy-of-use nature and applicability of a wiki for project management with the advantages of semantically rich and accurate approach. The system is released as open-source (OS) and is used for management of students' and research projects at the research lab of the authors.

  3. The Application of Semantics Web in Digital Library Knowledge Management

    NASA Astrophysics Data System (ADS)

    Liangxian, Du; Junxia, Qi; Pengfei, Guo

    The semantic grid can bring different community together to solve the problem, so large human interest is increasing, and based on the grid technology suppliers, to share information of urgent need. TIn this article, we will discuss the details of the research status and technical support HBUTiGrid project, elaborate design scheme of software architecture, HBUTiGrid infrastructure. We also exist vital experience HBUTiGrid project construction, introduces the software tools, support it.

  4. Archetype-based knowledge management for semantic interoperability of electronic health records.

    PubMed

    Garde, Sebastian; Chen, Rong; Leslie, Heather; Beale, Thomas; McNicoll, Ian; Heard, Sam

    2009-01-01

    Formal modeling of clinical content that can be made available internationally is one of the most promising pathways to semantic interoperability of health information. Drawing on the extensive experience from openEHR archetype research and implementation work, we present the latest research and development in this area to improve semantic interoperability of Electronic Health Records (EHRs) using openEHR (ISO 13606) archetypes. Archetypes as the formal definition of clinical content need to be of high technical and clinical quality. We will start with a brief introduction of the openEHR architecture followed by presentations on specific topics related to the management of a wide range of clinical knowledge artefacts. We will describe a web-based review process for archetypes that enables international involvement and ensures that released archetypes are technically and clinically correct. Tools for validation of archetypes will be presented, along with templates and compliance templates. All this in combination enables the openEHR computing platform to be the foundation for safely sharing the information clinicians need, using this information within computerized clinical guidelines, for decision support as well as migrating legacy data.

  5. Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration.

    PubMed

    Yoo, Min-Jung; Grozel, Clément; Kiritsis, Dimitris

    2016-07-08

    This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open Messaging Interface (O-MI) and Open Data Format (O-DF), which ensures data communication. (1) BACKGROUND: Based on an existing product lifecycle management (PLM) methodology, we enhanced the ontology model for the purpose of integrating efficiently the product-service ontology model that was newly developed; (2) METHODS: The IoT message transfer layer is vertically integrated into a semantic knowledge framework inside which a Semantic Info-Node Agent (SINA) uses the message format as a common protocol of product-service lifecycle data transfer; (3) RESULTS: The product-service ontology model facilitates information retrieval and knowledge extraction during the product lifecycle, while making more information available for the sake of service business creation. The vertical integration of IoT message transfer, encompassing all semantic layers, helps achieve a more flexible and modular approach to knowledge sharing in an IoT environment; (4) Contribution: A semantic data annotation applied to IoT can contribute to enhancing collected data types, which entails a richer knowledge extraction. The ontology-based PLM model enables as well the horizontal integration of heterogeneous PLM data while breaking traditional vertical information silos; (5) CONCLUSION: The framework was applied to a fictive case study with an electric car service for the purpose of demonstration. For the purpose of demonstrating the feasibility of the approach, the semantic model is implemented in Sesame APIs, which play the role of an Internet-connected Resource Description Framework (RDF) database.

  6. Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

    PubMed Central

    Yoo, Min-Jung; Grozel, Clément; Kiritsis, Dimitris

    2016-01-01

    This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open Messaging Interface (O-MI) and Open Data Format (O-DF), which ensures data communication. (1) Background: Based on an existing product lifecycle management (PLM) methodology, we enhanced the ontology model for the purpose of integrating efficiently the product-service ontology model that was newly developed; (2) Methods: The IoT message transfer layer is vertically integrated into a semantic knowledge framework inside which a Semantic Info-Node Agent (SINA) uses the message format as a common protocol of product-service lifecycle data transfer; (3) Results: The product-service ontology model facilitates information retrieval and knowledge extraction during the product lifecycle, while making more information available for the sake of service business creation. The vertical integration of IoT message transfer, encompassing all semantic layers, helps achieve a more flexible and modular approach to knowledge sharing in an IoT environment; (4) Contribution: A semantic data annotation applied to IoT can contribute to enhancing collected data types, which entails a richer knowledge extraction. The ontology-based PLM model enables as well the horizontal integration of heterogeneous PLM data while breaking traditional vertical information silos; (5) Conclusion: The framework was applied to a fictive case study with an electric car service for the purpose of demonstration. For the purpose of demonstrating the feasibility of the approach, the semantic model is implemented in Sesame APIs, which play the role of an Internet-connected Resource Description Framework (RDF) database. PMID:27399717

  7. Semantic-Based Knowledge Management in E-Government: Modeling Attention for Proactive Information Delivery

    NASA Astrophysics Data System (ADS)

    Samiotis, Konstantinos; Stojanovic, Nenad

    E-government has become almost synonymous with a consumer-led revolution of government services inspired and made possible by the Internet. With technology being the least of the worries for government organizations nowadays, attention is shifting towards managing complexity as one of the basic antecedents of operational and decision-making inefficiency. Complexity has been traditionally preoccupying public administrations and owes its origins to several sources. Among them we encounter primarily the cross-functional nature and the degree of legal structuring of administrative work. Both of them have strong reliance to the underlying process and information infrastructure of public organizations. Managing public administration work thus implies managing its processes and information. Knowledge management (KM) and business process reengineering (BPR) have been deployed already by private organizations with success for the same purposes and certainly comprise improvement practices that are worthwhile investigating. Our contribution through this paper is on the utilization of KM for the e-government.

  8. Semantics-enabled knowledge management for global Earth observation system of systems

    NASA Astrophysics Data System (ADS)

    King, Roger L.; Durbha, Surya S.; Younan, Nicolas H.

    2007-10-01

    The Global Earth Observation System of Systems (GEOSS) is a distributed system of systems built on current international cooperation efforts among existing Earth observing and processing systems. The goal is to formulate an end-to-end process that enables the collection and distribution of accurate, reliable Earth Observation data, information, products, and services to both suppliers and consumers worldwide. One of the critical components in the development of such systems is the ability to obtain seamless access of data across geopolitical boundaries. In order to gain support and willingness to participate by countries around the world in such an endeavor, it is necessary to devise mechanisms whereby the data and the intellectual capital is protected through procedures that implement the policies specific to a country. Earth Observations (EO) are obtained from a multitude of sources and requires coordination among different agencies and user groups to come to a shared understanding on a set of concepts involved in a domain. It is envisaged that the data and information in a GEOSS context will be unprecedented and the current data archiving and delivery methods need to be transformed into one that allows realization of seamless interoperability. Thus, EO data integration is dependent on the resolution of conflicts arising from a variety of areas. Modularization is inevitable in distributed environments to facilitate flexible and efficient reuse of existing ontologies. Therefore, we propose a framework for modular ontologies based knowledge management approach for GEOSS and present methods to enable efficient reasoning in such systems.

  9. Semantics for E-Learning: An Advanced Knowledge Management Oriented Metadata Schema for Learning Purposes.

    ERIC Educational Resources Information Center

    Lytras, Miltiadis D.

    The research described in this paper is concentrated on the demand for high quality interchangeable knowledge objects capable of supporting dynamic learning initiatives. The general metadata models (Dublin Core, IMS, LOM, SCORM) for knowledge objects enrichment are reviewed and a critique is provided in order to claim the importance of the…

  10. A Semantic Web-based System for Managing Clinical Archetypes.

    PubMed

    Fernandez-Breis, Jesualdo Tomas; Menarguez-Tortosa, Marcos; Martinez-Costa, Catalina; Fernandez-Breis, Eneko; Herrero-Sempere, Jose; Moner, David; Sanchez, Jesus; Valencia-Garcia, Rafael; Robles, Montserrat

    2008-01-01

    Archetypes facilitate the sharing of clinical knowledge and therefore are a basic tool for achieving interoperability between healthcare information systems. In this paper, a Semantic Web System for Managing Archetypes is presented. This system allows for the semantic annotation of archetypes, as well for performing semantic searches. The current system is capable of working with both ISO13606 and OpenEHR archetypes.

  11. Knowledge Management.

    ERIC Educational Resources Information Center

    1999

    The first of the four papers in this symposium, "Knowledge Management and Knowledge Dissemination" (Wim J. Nijhof), presents two case studies exploring the strategies companies use in sharing and disseminating knowledge and expertise among employees. "A Theory of Knowledge Management" (Richard J. Torraco), develops a conceptual…

  12. Semantic Document Model to Enhance Data and Knowledge Interoperability

    NASA Astrophysics Data System (ADS)

    Nešić, Saša

    To enable document data and knowledge to be efficiently shared and reused across application, enterprise, and community boundaries, desktop documents should be completely open and queryable resources, whose data and knowledge are represented in a form understandable to both humans and machines. At the same time, these are the requirements that desktop documents need to satisfy in order to contribute to the visions of the Semantic Web. With the aim of achieving this goal, we have developed the Semantic Document Model (SDM), which turns desktop documents into Semantic Documents as uniquely identified and semantically annotated composite resources, that can be instantiated into human-readable (HR) and machine-processable (MP) forms. In this paper, we present the SDM along with an RDF and ontology-based solution for the MP document instance. Moreover, on top of the proposed model, we have built the Semantic Document Management System (SDMS), which provides a set of services that exploit the model. As an application example that takes advantage of SDMS services, we have extended MS Office with a set of tools that enables users to transform MS Office documents (e.g., MS Word and MS PowerPoint) into Semantic Documents, and to search local and distant semantic document repositories for document content units (CUs) over Semantic Web protocols.

  13. Conceptual graphs for semantics and knowledge processing

    SciTech Connect

    Fargues, J.; Landau, M.C.; Dugourd, A.; Catach, L.

    1986-01-01

    This paper discusses the representational and algorithmic power of the conceptual graph model for natural language semantics and knowledge processing. Also described is a Prolog-like resolution method for conceptual graphs, which allows to perform deduction on very large semantic domains. The interpreter developed is similar to a Prolog interpreter in which the terms are any conceptual graphs and in which the unification algorithm is replaced by a specialized algorithm for conceptual graphs.

  14. Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective

    ERIC Educational Resources Information Center

    Lytras, Miltiadis, Ed.; Naeve, Ambjorn, Ed.

    2005-01-01

    In the context of Knowledge Society, the convergence of knowledge and learning management is a critical milestone. "Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective" provides state-of-the art knowledge through a balanced theoretical and technological discussion. The semantic web perspective…

  15. Developmental changes in semantic knowledge organization.

    PubMed

    Unger, Layla; Fisher, Anna V; Nugent, Rebecca; Ventura, Samuel L; MacLellan, Christopher J

    2016-06-01

    Semantic knowledge is a crucial aspect of higher cognition. Theoretical accounts of semantic knowledge posit that relations between concepts provide organizational structure that converts information known about individual entities into an interconnected network in which concepts can be linked by many types of relations (e.g., taxonomic, thematic). The goal of the current research was to address several methodological shortcomings of prior studies on the development of semantic organization, by using a variant of the spatial arrangement method (SpAM) to collect graded judgments of relatedness for a set of entities that can be cross-classified into either taxonomic or thematic groups. In Experiment 1, we used the cross-classify SpAM (CC-SpAM) to obtain graded relatedness judgments and derive a representation of developmental changes in the organization of semantic knowledge. In Experiment 2, we validated the findings of Experiment 1 by using a more traditional pairwise similarity judgment paradigm. Across both experiments, we found that an early recognition of links between entities that are both taxonomically and thematically related preceded an increasing recognition of links based on a single type of relation. The utility of CC-SpAM for evaluating theoretical accounts of semantic development is discussed.

  16. Knowledge Management

    NASA Technical Reports Server (NTRS)

    Shariq, Syed Z.; Kutler, Paul (Technical Monitor)

    1997-01-01

    The emergence of rapidly expanding technologies for distribution and dissemination of information and knowledge has brought to focus the opportunities for development of knowledge-based networks, knowledge dissemination and knowledge management technologies and their potential applications for enhancing productivity of knowledge work. The challenging and complex problems of the future can be best addressed by developing the knowledge management as a new discipline based on an integrative synthesis of hard and soft sciences. A knowledge management professional society can provide a framework for catalyzing the development of proposed synthesis as well as serve as a focal point for coordination of professional activities in the strategic areas of education, research and technology development. Preliminary concepts for the development of the knowledge management discipline and the professional society are explored. Within this context of knowledge management discipline and the professional society, potential opportunities for application of information technologies for more effectively delivering or transferring information and knowledge (i.e., resulting from the NASA's Mission to Planet Earth) for the development of policy options in critical areas of national and global importance (i.e., policy decisions in economic and environmental areas) can be explored, particularly for those policy areas where a global collaborative knowledge network is likely to be critical to the acceptance of the policies.

  17. Designing Knowledge of The PPC with Semantic Network

    NASA Astrophysics Data System (ADS)

    Fajar Santoso, Ari; Supriana, Iping; Surendro, Kridanto

    2017-01-01

    A manufacturing process is a very complex activity, which involves a variety of knowledge, such as the product design and description, manufacturing operations, tools, machines, and the relationships between these entities. Production planning control (PPC) as dominant part of manufacturing process has a very important role in determining the measures taken by the management of company. The PPC construction is an interactive process that requires the collaboration of both ICT and manufacture experts. Building PPC process can be used as a basis for making knowledge in manufacturing domain that will be used in manufacturing intelligent system. This paper describes about designing knowledge with semantic network in the production scheduling.

  18. Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids

    SciTech Connect

    Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor

    2012-11-15

    Semantic Web allows us to model and query time-invariant or slowly evolving knowledge using ontologies. Emerging applications in Cyber Physical Systems such as Smart Power Grids that require continuous information monitoring and integration present novel opportunities and challenges for Semantic Web technologies. Semantic Web is promising to model diverse Smart Grid domain knowledge for enhanced situation awareness and response by multi-disciplinary participants. However, current technology does pose a performance overhead for dynamic analysis of sensor measurements. In this paper, we combine semantic web and complex event processing for stream based semantic querying. We illustrate its adoption in the USC Campus Micro-Grid for detecting and enacting dynamic response strategies to peak power situations by diverse user roles. We also describe the semantic ontology and event query model that supports this. Further, we introduce and evaluate caching techniques to improve the response time for semantic event queries to meet our application needs and enable sustainable energy management.

  19. Making Semantic Waves: A Key to Cumulative Knowledge-Building

    ERIC Educational Resources Information Center

    Maton, Karl

    2013-01-01

    The paper begins by arguing that knowledge-blindness in educational research represents a serious obstacle to understanding knowledge-building. It then offers sociological concepts from Legitimation Code Theory--"semantic gravity" and "semantic density"--that systematically conceptualize one set of organizing principles underlying knowledge…

  20. Drug knowledge expressed as computable semantic triples.

    PubMed

    Elkin, Peter L; Carter, John S; Nabar, Manasi; Tuttle, Mark; Lincoln, Michael; Brown, Steven H

    2011-01-01

    The majority of questions that arise in the practice of medicine relate to drug information. Additionally, adverse reactions account for as many as 98,000 deaths per year in the United States. Adverse drug reactions account for a significant portion of those errors. Many authors believe that clinical decision support associated with computerized physician order entry has the potential to decrease this adverse drug event rate. This decision support requires knowledge to drive the process. One important and rich source of drug knowledge is the DailyMed product labels. In this project we used computationally extracted SNOMED CT™ codified data associated with each section of each product label as input to a rules engine that created computable assertional knowledge in the form of semantic triples. These are expressed in the form of "Drug" HasIndication "SNOMED CT™". The information density of drug labels is deep, broad and quite substantial. By providing a computable form of this information content from drug labels we make these important axioms (facts) more accessible to computer programs designed to support improved care.

  1. Business Semantics Management Supports Government Innovation Information Portal

    NASA Astrophysics Data System (ADS)

    van Grootel, Geert; Spyns, Peter; Christiaens, Stijn; Jörg, Brigitte

    The knowledge economy is one of the cornerstones of our society. Our economic prosperity and development is derived for a large part from technical knowledge. Knowledge unlocks innovation, which in turns spawns new products or services, thereby enabling further economic growth. Hence, an information system unlocking scientific technical knowledge is an important asset for government policy and strategic decisions by industry. In this paper it is explained how business semantics management and related tools are applied to realise the above mentioned endeavour.

  2. NVL - a knowledge representation language based on semantic networks

    SciTech Connect

    Hudli, A.V.

    1989-01-01

    Taxonomic hierarchical networks or semantic networks have been widely used in representing knowledge in AI applications. Semantic networks have been the preferred form of representation in AI, rather than predicate logic because of the need to represent complex structured knowledge. However, the formal semantics of these networks has not been dealt with adequately in the literature. In this thesis, semantic networks are described by means of a formal relational logic called NVL. The characteristic features of NVL are limitor lists and binary predicates. Limitor lists are similar to restricted quantifiers but are more expressive. Several special binary relations are used to express the key ideas of semantic networks. NVL is based on the principles of semantic networks and taxonomic reasoning. The unification and inference mechanisms of NVL have considerable inherent parallelism which makes the language suitable for parallel implementation. The current opinion in AI is that semantic networks represent a subset of first order logic. Rather than modify predicate logic by adding features of semantic networks, the approach has been to devise a new form of logic by considering the basic principles and epistemological primitives of semantic networks such as properties, class concepts, relations, and inheritance. The syntax and semantics of NVL are first presented. Rules in the knowledge based are represented by V relation which also plays an important role in deriving inferences. The (mathematical) correctness of NVL is proved and concepts of unification of lists and inference in NVL are introduced. Parallel algorithms for unification and inference are developed.

  3. Modeling Semantic and Structural Knowledge in Web Navigation

    ERIC Educational Resources Information Center

    Juvina, Ion; van Oostendorp, Herre

    2008-01-01

    Research on cognitive modeling of information search and Web navigation emphasizes the importance of "information scent" (the relevance of semantic cues such as link labels and headings to a reader's goal; Pirolli & Card, 1999). This article shows that not only semantic but also structural knowledge is involved in navigating the Web…

  4. Metadata management and semantics in microarray repositories.

    PubMed

    Kocabaş, F; Can, T; Baykal, N

    2011-12-01

    The number of microarray and other high-throughput experiments on primary repositories keeps increasing as do the size and complexity of the results in response to biomedical investigations. Initiatives have been started on standardization of content, object model, exchange format and ontology. However, there are backlogs and inability to exchange data between microarray repositories, which indicate that there is a great need for a standard format and data management. We have introduced a metadata framework that includes a metadata card and semantic nets that make experimental results visible, understandable and usable. These are encoded in syntax encoding schemes and represented in RDF (Resource Description Frame-word), can be integrated with other metadata cards and semantic nets, and can be exchanged, shared and queried. We demonstrated the performance and potential benefits through a case study on a selected microarray repository. We concluded that the backlogs can be reduced and that exchange of information and asking of knowledge discovery questions can become possible with the use of this metadata framework.

  5. [Semantic dementia--a multimodal disorder of conceptual knowledge].

    PubMed

    Nishio, Yoshiyuki; Mori, Etsuro

    2009-11-01

    Semantic dementia (SD) is a clinical syndrome characterized by progressive loss of semantic memory/ conceptual knowledge and by bilateral, but usually asymmetric, atrophy of the anterior temporal lobes (ATLS). On the basis of the neuropsychological findings of SD, the two theoretical implications for the organization of semantic memory have been suggested. First, selective impairment of semantic memory in the early stages of SD contrasts with the isolated loss of episodic memory in patients with damage to the medial temporal lobes and other Papez's circuit components. This double dissociation provides empirical evidence for fractionation of explicit memory into the two subsystems with different neural underpinnings. Second, the multimodal nature of semantic deficits in SD leads to a seminal view that semantic memory is organized as an amodal system. The ATLs play a pivotal role as a 'convergence zone' or 'semantic hub' integrating abundant verbal and perceptual attributes that are represented in the posterior temporal and temporo-occipital cortices. To develop further comprehensive theories regarding semantic memory, we should understand differential roles of the left and right ATLs and clarify the clinicoanatomical relationship between verbal, visual, and emotional aspects of semantic memory loss and the detailed anatomical localization of the lesions.

  6. Arithmetic knowledge in semantic dementia: is it invariably preserved?

    PubMed

    Julien, C L; Thompson, J C; Neary, D; Snowden, J S

    2008-09-01

    There is accumulating evidence of preserved arithmetic knowledge in semantic dementia (SD), contrasting with patients' striking impairment in other domains of semantic memory. This important finding exemplifies domain specificity in the breakdown of semantic memory and supports notions of the functional independence of semantic number knowledge. Nevertheless, evidence for preserved arithmetic knowledge in SD comes largely from single case studies. It is not known whether such preservation is a universal finding, or whether it persists irrespective of disease severity. The present study examined performance of 14 SD patients, varying in the severity of their semantic impairment, on tasks assessing knowledge of arithmetic signs, and on single-digit and multi-digit calculation problems, permitting evaluation of fact retrieval and use of procedures. SD patients performed generally well compared to 10 healthy controls on tests of addition and subtraction. However, abnormalities were elicited, which were not explained by education or hemispheric side of atrophy, but increased as a function of semantic severity. Patients had difficulty identifying arithmetic signs. They used increasingly basic, inflexible strategies to retrieve multiplication table 'facts', and in multi-digit calculations they made procedural errors that pointed to a failure to understand the differential weighting of left and right hand columns. The pattern of responses and error types mirrors in reverse that found in children as they acquire arithmetic competence, and suggests a progressive degradation in conceptual understanding of arithmetic. Longitudinal study of two SD patients demonstrated an association between semantic decline and impaired arithmetic performance. The findings challenge the notion of arithmetic knowledge as a totally separate semantic domain and suggest that the temporal lobes play an important role in arithmetic understanding.

  7. Semantic Knowledge for Famous Names in Mild Cognitive Impairment

    PubMed Central

    Seidenberg, Michael; Guidotti, Leslie; Nielson, Kristy A.; Woodard, John L.; Durgerian, Sally; Zhang, Qi; Gander, Amelia; Antuono, Piero; Rao, Stephen M.

    2008-01-01

    Person identification represents a unique category of semantic knowledge that is commonly impaired in Alzheimer's Disease (AD), but has received relatively little investigation in patients with Mild Cognitive Impairment (MCI). The current study examined the retrieval of semantic knowledge for famous names from three time epochs (recent, remote, and enduring) in two participant groups; 23 aMCI patients and 23 healthy elderly controls. The aMCI group was less accurate and produced less semantic knowledge than controls for famous names. Names from the enduring period were recognized faster than both recent and remote names in both groups, and remote names were recognized more quickly than recent names. Episodic memory performance was correlated with greater semantic knowledge particularly for recent names. We suggest that the anterograde memory deficits in the aMCI group interferes with learning of recent famous names and as a result produces difficulties with updating and integrating new semantic information with previously stored information. The implications of these findings for characterizing semantic memory deficits in MCI are discussed. PMID:19128524

  8. Semantic knowledge for famous names in mild cognitive impairment.

    PubMed

    Seidenberg, Michael; Guidotti, Leslie; Nielson, Kristy A; Woodard, John L; Durgerian, Sally; Zhang, Qi; Gander, Amelia; Antuono, Piero; Rao, Stephen M

    2009-01-01

    Person identification represents a unique category of semantic knowledge that is commonly impaired in Alzheimer's disease (AD), but has received relatively little investigation in patients with mild cognitive impairment (MCI). The current study examined the retrieval of semantic knowledge for famous names from three time epochs (recent, remote, and enduring) in two participant groups: 23 amnestic MCI (aMCI) patients and 23 healthy elderly controls. The aMCI group was less accurate and produced less semantic knowledge than controls for famous names. Names from the enduring period were recognized faster than both recent and remote names in both groups, and remote names were recognized more quickly than recent names. Episodic memory performance was correlated with greater semantic knowledge particularly for recent names. We suggest that the anterograde memory deficits in the aMCI group interferes with learning of recent famous names and as a result produces difficulties with updating and integrating new semantic information with previously stored information. The implications of these findings for characterizing semantic memory deficits in MCI are discussed. (JINS, 2009, 15, 9-18.).

  9. Knowledge Representation Issues in Semantic Graphs for Relationship Detection

    SciTech Connect

    Barthelemy, M; Chow, E; Eliassi-Rad, T

    2005-02-02

    An important task for Homeland Security is the prediction of threat vulnerabilities, such as through the detection of relationships between seemingly disjoint entities. A structure used for this task is a ''semantic graph'', also known as a ''relational data graph'' or an ''attributed relational graph''. These graphs encode relationships as typed links between a pair of typed nodes. Indeed, semantic graphs are very similar to semantic networks used in AI. The node and link types are related through an ontology graph (also known as a schema). Furthermore, each node has a set of attributes associated with it (e.g., ''age'' may be an attribute of a node of type ''person''). Unfortunately, the selection of types and attributes for both nodes and links depends on human expertise and is somewhat subjective and even arbitrary. This subjectiveness introduces biases into any algorithm that operates on semantic graphs. Here, we raise some knowledge representation issues for semantic graphs and provide some possible solutions using recently developed ideas in the field of complex networks. In particular, we use the concept of transitivity to evaluate the relevance of individual links in the semantic graph for detecting relationships. We also propose new statistical measures for semantic graphs and illustrate these semantic measures on graphs constructed from movies and terrorism data.

  10. Knowledge of famous faces and names in semantic dementia.

    PubMed

    Snowden, J S; Thompson, J C; Neary, D

    2004-04-01

    Semantic dementia is a focal clinical syndrome, resulting from degeneration of the temporal lobes and characterized by progressive loss of conceptual knowledge about the world. Because of the highly circumscribed nature of the disorder it is a natural model for improving understanding of how semantic information is cerebrally represented. There is currently a lack of consensus. One view proposes the existence of modality specific meaning systems, in which visual and verbal information are stored separately. An opposing view assumes that information is represented by a unitary, amodal semantic system. The present study explores these alternatives in an examination of famous face and name knowledge in 15 patients with semantic dementia. The study of face recognition in patients with an established semantic disorder also permits an examination of the relationship between semantic dementia and the focal clinical syndrome of progressive prosopagnosia. The semantic dementia patients were profoundly impaired on both face and name identification and familiarity judgement tasks compared with amnesic patients with Alzheimer's disease and healthy controls. However, whereas the two reference groups performed better for names than faces, the semantic group showed the opposite pattern. This overall profile masked individual differences: semantic dementia patients with predominant left temporal lobe atrophy showed better recognition of names than faces, whereas patients with right temporal predominance showed the reverse pattern. Relative superiority for names or faces was mirrored by corresponding superiority for words or pictures on a standard semantic test. We interpret the findings as inconsistent with a unitary, amodal model of semantic memory. However, the data are not wholly compatible with a strict multiple system account. The data favour a model of semantic memory comprising a single interconnected network, with dedicated brain regions representing modality specific

  11. Semantically-enabled Knowledge Discovery in the Deep Carbon Observatory

    NASA Astrophysics Data System (ADS)

    Wang, H.; Chen, Y.; Ma, X.; Erickson, J. S.; West, P.; Fox, P. A.

    2013-12-01

    The Deep Carbon Observatory (DCO) is a decadal effort aimed at transforming scientific and public understanding of carbon in the complex deep earth system from the perspectives of Deep Energy, Deep Life, Extreme Physics and Chemistry, and Reservoirs and Fluxes. Over the course of the decade DCO scientific activities will generate a massive volume of data across a variety of disciplines, presenting significant challenges in terms of data integration, management, analysis and visualization, and ultimately limiting the ability of scientists across disciplines to make insights and unlock new knowledge. The DCO Data Science Team (DCO-DS) is applying Semantic Web methodologies to construct a knowledge representation focused on the DCO Earth science disciplines, and use it together with other technologies (e.g. natural language processing and data mining) to create a more expressive representation of the distributed corpus of DCO artifacts including datasets, metadata, instruments, sensors, platforms, deployments, researchers, organizations, funding agencies, grants and various awards. The embodiment of this knowledge representation is the DCO Data Science Infrastructure, in which unique entities within the DCO domain and the relations between them are recognized and explicitly identified. The DCO-DS Infrastructure will serve as a platform for more efficient and reliable searching, discovery, access, and publication of information and knowledge for the DCO scientific community and beyond.

  12. Using Latent Semantic Analysis To Assess Knowledge: Some Technical Considerations.

    ERIC Educational Resources Information Center

    Rehder, Bob; Schreiner, M. E.; Wolfe, Michael B. W.; Laham, Darrell; Kintsch, Walter; Landauer, Thomas K

    1998-01-01

    Provides a technical analysis of the factors involved in the ability of latent semantic analysis to assess student knowledge (grading essays and matching students with appropriate instructional texts). Addresses the role of technical vocabulary, how long the student essays should be, and how one deals with the directionality of knowledge in the…

  13. Knowledge represented using RDF semantic network in the concept of semantic web

    NASA Astrophysics Data System (ADS)

    Lukasova, A.; Vajgl, M.; Zacek, M.

    2016-06-01

    The RDF(S) model has been declared as the basic model to capture knowledge of the semantic web. It provides a common and flexible way to decompose composed knowledge to elementary statements, which can be represented by RDF triples or by RDF graph vectors. From the logical point of view, elements of knowledge can be expressed using at most binary predicates, which can be converted to RDF-triples or graph vectors. However, it is not able to capture implicit knowledge representable by logical formulas. This contribution shows how existing approaches (semantic networks and clausal form logic) can be combined together with RDF to obtain RDF-compatible system with ability to represent implicit knowledge and inference over knowledge base.

  14. Semantically Enabling Knowledge Representation of Metamorphic Petrology Data

    NASA Astrophysics Data System (ADS)

    West, P.; Fox, P. A.; Spear, F. S.; Adali, S.; Nguyen, C.; Hallett, B. W.; Horkley, L. K.

    2012-12-01

    More and more metamorphic petrology data is being collected around the world, and is now being organized together into different virtual data portals by means of virtual organizations. For example, there is the virtual data portal Petrological Database (PetDB, http://www.petdb.org) of the Ocean Floor that is organizing scientific information about geochemical data of ocean floor igneous and metamorphic rocks; and also The Metamorphic Petrology Database (MetPetDB, http://metpetdb.rpi.edu) that is being created by a global community of metamorphic petrologists in collaboration with software engineers and data managers at Rensselaer Polytechnic Institute. The current focus is to provide the ability for scientists and researchers to register their data and search the databases for information regarding sample collections. What we present here is the next step in evolution of the MetPetDB portal, utilizing semantically enabled features such as discovery, data casting, faceted search, knowledge representation, and linked data as well as organizing information about the community and collaboration within the virtual community itself. We take the information that is currently represented in a relational database and make it available through web services, SPARQL endpoints, semantic and triple-stores where inferencing is enabled. We will be leveraging research that has taken place in virtual observatories, such as the Virtual Solar Terrestrial Observatory (VSTO) and the Biological and Chemical Oceanography Data Management Office (BCO-DMO); vocabulary work done in various communities such as Observations and Measurements (ISO 19156), FOAF (Friend of a Friend), Bibo (Bibliography Ontology), and domain specific ontologies; enabling provenance traces of samples and subsamples using the different provenance ontologies; and providing the much needed linking of data from the various research organizations into a common, collaborative virtual observatory. In addition to better

  15. Knowledge networks in the age of the Semantic Web.

    PubMed

    Neumann, Eric; Prusak, Larry

    2007-05-01

    The Web has become the major medium for various communities to share their knowledge. To this end, it provides an optimal environment for knowledge networks. The web offers global connectivity that is virtually instantaneous, and whose resources and documents can easily be indexed for easy searching. In the coupled realms of biomedical research and healthcare, this has become especially important where today many thousands of communities already exist that connect across academia, hospitals and industry. These communities also rely on several forms of knowledge assets, including publications, experimental data, domain-specific vocabularies and policies. Web-based communities will be one of the earlier beneficiaries of the emerging Semantic Web. With the new standards and technologies of the Semantic Web, effective utilization of knowledge networks will expand profoundly, fostering new levels of innovation and knowledge.

  16. Scientific Knowledge Discovery in Complex Semantic Networks of Geophysical Systems

    NASA Astrophysics Data System (ADS)

    Fox, P.

    2012-04-01

    The vast majority of explorations of the Earth's systems are limited in their ability to effectively explore the most important (often most difficult) problems because they are forced to interconnect at the data-element, or syntactic, level rather than at a higher scientific, or semantic, level. Recent successes in the application of complex network theory and algorithms to climate data, raise expectations that more general graph-based approaches offer the opportunity for new discoveries. In the past ~ 5 years in the natural sciences there has substantial progress in providing both specialists and non-specialists the ability to describe in machine readable form, geophysical quantities and relations among them in meaningful and natural ways, effectively breaking the prior syntax barrier. The corresponding open-world semantics and reasoning provide higher-level interconnections. That is, semantics provided around the data structures, using semantically-equipped tools, and semantically aware interfaces between science application components allowing for discovery at the knowledge level. More recently, formal semantic approaches to continuous and aggregate physical processes are beginning to show promise and are soon likely to be ready to apply to geoscientific systems. To illustrate these opportunities, this presentation presents two application examples featuring domain vocabulary (ontology) and property relations (named and typed edges in the graphs). First, a climate knowledge discovery pilot encoding and exploration of CMIP5 catalog information with the eventual goal to encode and explore CMIP5 data. Second, a multi-stakeholder knowledge network for integrated assessments in marine ecosystems, where the data is highly inter-disciplinary.

  17. Semantics vs. World Knowledge in Prefrontal Cortex

    ERIC Educational Resources Information Center

    Pylkkanen, Liina; Oliveri, Bridget; Smart, Andrew J.

    2009-01-01

    Humans have knowledge about the properties of their native language at various levels of representation; sound, structure, and meaning computation constitute the core components of any linguistic theory. Although the brain sciences have engaged with representational theories of sound and syntactic structure, the study of the neural bases of…

  18. Semantic-Based RFID Data Management

    NASA Astrophysics Data System (ADS)

    de Virgilio, Roberto; di Sciascio, Eugenio; Ruta, Michele; Scioscia, Floriano; Torlone, Riccardo

    Traditional Radio-Frequency IDentification (RFID) applications have been focused on replacing bar codes in supply chain management. Leveraging a ubiquitous computing architecture, the chapter presents a framework allowing both quick decentralized on-line item discovery and centralized off-line massive business logic analysis, according to needs and requirements of supply chain actors. A semantic-based environment, where tagged objects become resources exposing to an RFID reader not a trivial identification code but a semantic annotation, enables tagged objects to describe themselves on the fly without depending on a centralized infrastructure. On the other hand, facing on data management issues, a proposal is formulated for an effective off-line multidimensional analysis of huge amounts of RFID data generated and stored along the supply chain.

  19. Semantic Enhancement for Enterprise Data Management

    NASA Astrophysics Data System (ADS)

    Ma, Li; Sun, Xingzhi; Cao, Feng; Wang, Chen; Wang, Xiaoyuan; Kanellos, Nick; Wolfson, Dan; Pan, Yue

    Taking customer data as an example, the paper presents an approach to enhance the management of enterprise data by using Semantic Web technologies. Customer data is the most important kind of core business entity a company uses repeatedly across many business processes and systems, and customer data management (CDM) is becoming critical for enterprises because it keeps a single, complete and accurate record of customers across the enterprise. Existing CDM systems focus on integrating customer data from all customer-facing channels and front and back office systems through multiple interfaces, as well as publishing customer data to different applications. To make the effective use of the CDM system, this paper investigates semantic query and analysis over the integrated and centralized customer data, enabling automatic classification and relationship discovery. We have implemented these features over IBM Websphere Customer Center, and shown the prototype to our clients. We believe that our study and experiences are valuable for both Semantic Web community and data management community.

  20. Semantic knowledge fractionations: verbal propositions vs. perceptual input? Evidence from a child with Klinefelter syndrome.

    PubMed

    Robinson, Sally J; Temple, Christine M

    2013-04-01

    This paper addresses the relative independence of different types of lexical- and factually-based semantic knowledge in JM, a 9-year-old boy with Klinefelter syndrome (KS). JM was matched to typically developing (TD) controls on the basis of chronological age. Lexical-semantic knowledge was investigated for common noun (CN) and mathematical vocabulary items (MV). Factually-based semantic knowledge was investigated for general and number facts. For CN items, JM's lexical stores were of a normal size but the volume of correct 'sensory feature' semantic knowledge he generated within verbal item descriptions was significantly reduced. He was also significantly impaired at naming item descriptions and pictures, particularly for fruit and vegetables. There was also weak object decision for fruit and vegetables. In contrast, for MV items, JM's lexical stores were elevated, with no significant difference in the amount and type of correct semantic knowledge generated within verbal item descriptions and normal naming. JM's fact retrieval accuracy was normal for all types of factual knowledge. JM's performance indicated a dissociation between the representation of CN and MV vocabulary items during development. JM's preserved semantic knowledge of facts in the face of impaired semantic knowledge of vocabulary also suggests that factually-based semantic knowledge representation is not dependent on normal lexical-semantic knowledge during development. These findings are discussed in relation to the emergence of distinct semantic knowledge representations during development, due to differing degrees of dependency upon the acquisition and representation of semantic knowledge from verbal propositions and perceptual input.

  1. Integrating Non-Semantic Knowledge into Image Segmentation Processes.

    DTIC Science & Technology

    1984-03-01

    D-A149 571 INTEGRATING NON-SEMANTIC KNOWLEDGE INTO IMAGE 1/2 SEGMENTATION PROCESSES(U) MRSSACHUSETTS UNIV AMHERST DEPT OF COMPUTER AND INFORMATION S... IMAGE SEGMENTATION PROCESSES Ralf R. Kohler COINS Technical Report 84-04 SJAN 1 7 1985) This work was supported in part by the Office of Naval Rearch...RR07048-16. DITPI~rN STTM!4 j~pwvq jx public 7le" Dwtnutlfl nlmited . .. Teatn Non-SanatIC Knowledge into Image Segmentation Proces A Dissertation

  2. Management Tool for Semantic Annotations in WSDL

    NASA Astrophysics Data System (ADS)

    Boissel-Dallier, Nicolas; Lorré, Jean-Pierre; Benaben, Frédérick

    Semantic Web Services add features to automate web services discovery and composition. A new standard called SAWSDL emerged recently as a W3C recommendation to add semantic annotations within web service descriptions (WSDL). In order to manipulate such information in Java program we need an XML parser. Two open-source libraries already exist (SAWSDL4J and Woden4SAWSDL) but they don't meet all our specific needs such as support for WSDL 1.1 and 2.0. This paper presents a new tool, called EasyWSDL, which is able to handle semantic annotations as well as to manage the full WSDL description thanks to a plug-in mechanism. This tool allows us to read/edit/create a WSDL description and related annotations thanks to a uniform API, in both 1.1 and 2.0 versions. This document compares these three libraries and presents its integration into Dragon the OW2 open-source SOA governance tool.

  3. Primitive Semantic Notions About Hierarchical Structures: Implications for Educational Organisations and Educational Knowledge.

    ERIC Educational Resources Information Center

    Corson, David

    1986-01-01

    Critiques in educational organization theory and the "new" sociology overlook humanity's fundamental dispositions that impinge upon world view and knowledge acquisition. Universal semantic "primitives" involve searching for conceptual universalities; acquired semantic primitives impose phenomenal hierarchical orders.…

  4. Preservation of Person-Specific Semantic Knowledge in Semantic Dementia: Does Direct Personal Experience Have a Specific Role?

    PubMed Central

    Péron, Julie A.; Piolino, Pascale; Moal-Boursiquot, Sandrine Le; Biseul, Isabelle; Leray, Emmanuelle; Bon, Laetitia; Desgranges, Béatrice; Eustache, Francis; Belliard, Serge

    2015-01-01

    Semantic dementia patients seem to have better knowledge of information linked to the self. More specifically, despite having severe semantic impairment, these patients show that they have more general information about the people they know personally by direct experience than they do about other individuals they know indirectly. However, the role of direct personal experience remains debated because of confounding factors such as frequency, recency of exposure, and affective relevance. We performed an exploratory study comparing the performance of five semantic dementia patients with that of 10 matched healthy controls on the recognition (familiarity judgment) and identification (biographic information recall) of personally familiar names vs. famous names. As expected, intergroup comparisons indicated a semantic breakdown in semantic dementia patients as compared with healthy controls. Moreover, unlike healthy controls, the semantic dementia patients recognized and identified personally familiar names better than they did famous names. This pattern of results suggests that direct personal experience indeed plays a specific role in the relative preservation of person-specific semantic meaning in semantic dementia. We discuss the role of direct personal experience on the preservation of semantic knowledge and the potential neurophysiological mechanisms underlying these processes. PMID:26635578

  5. Teaching Knowledge Management (SIG KM).

    ERIC Educational Resources Information Center

    McInerney, Claire

    2000-01-01

    Presents an abstract of a planned session on teaching knowledge management, including knowledge management for information professionals; differences between teaching knowledge management in library schools and in business schools; knowledge practices for small groups; and current research. (LRW)

  6. A pet study of visual and semantic knowledge about objects.

    PubMed

    Kellenbach, Marion L; Hovius, Marjolijn; Patterson, Karalyn

    2005-04-01

    The distinctiveness of temporal lobe regions activated during the retrieval of knowledge regarding structural, colour and associative (encyclopaedic) aspects of familiar objects was investigated using PET. These three types of knowledge were contrasted using well matched tasks requiring the detection, in a series of coloured-in line drawings, of occasional anomalous objects (in the three conditions: structurally incorrect chimeras composed of parts of real objects; inappropriately coloured objects; familiar objects that do not exist in the modern world). Relative to a resting baseline condition, all semantic retrieval tasks yielded extensive bilateral activations in occipital and temporal areas, extending anteriorly on the ventral surface of the brain, plus an area in the right superior parietal lobe. In direct semantic-task comparisons focussing on the temporal lobe: (i) structural relative to associative decisions activated the right posterior middle/inferior temporal gyrus; (ii) colour decisions relative to structural judgements were associated with a region in the right superior temporal gyrus; (iii) the associative decision task selectively activated the left anterior middle/superior temporal gyrus and temporal pole relative to both object structure and colour, and also the homologous right temporal pole relative to colour only. These results indicate that each type of stored knowledge involves at least partially distinct cortical areas, and suggest that both anterior/posterior and left/right temporal regions have specialised roles.

  7. Knowledge Management, Codification and Tacit Knowledge

    ERIC Educational Resources Information Center

    Kimble, Chris

    2013-01-01

    Introduction: This article returns to a theme addressed in Vol. 8(1) October 2002 of the journal: knowledge management and the problem of managing tacit knowledge. Method: The article is primarily a review and analysis of the literature associated with the management of knowledge. In particular, it focuses on the works of a group of economists who…

  8. Semantic Health Knowledge Graph: Semantic Integration of Heterogeneous Medical Knowledge and Services

    PubMed Central

    Yang, Xiaoran; Qi, Jiaheng; Pan, Gang; Zhou, Binbin

    2017-01-01

    With the explosion of healthcare information, there has been a tremendous amount of heterogeneous textual medical knowledge (TMK), which plays an essential role in healthcare information systems. Existing works for integrating and utilizing the TMK mainly focus on straightforward connections establishment and pay less attention to make computers interpret and retrieve knowledge correctly and quickly. In this paper, we explore a novel model to organize and integrate the TMK into conceptual graphs. We then employ a framework to automatically retrieve knowledge in knowledge graphs with a high precision. In order to perform reasonable inference on knowledge graphs, we propose a contextual inference pruning algorithm to achieve efficient chain inference. Our algorithm achieves a better inference result with precision and recall of 92% and 96%, respectively, which can avoid most of the meaningless inferences. In addition, we implement two prototypes and provide services, and the results show our approach is practical and effective. PMID:28299322

  9. Knowledge Management Section

    DTIC Science & Technology

    2008-08-01

    CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ...ORGANIZATION NAME(S) AND ADDRESS(ES) Headquarters,Department of the Army,Washington,DC 8. PERFORMING ORGANIZATION REPORT NUMBER ; - 9. SPONSORING...Range of knowledge management strategies..................................................... 1-9 Figure 1-4. Knowledge management and the cognitive

  10. Essays on Knowledge Management

    ERIC Educational Resources Information Center

    Xiao, Wenli

    2012-01-01

    For many firms, particularly those operating in high technology and competitive markets, knowledge is cited as the most important strategic asset to the firm, which significantly drives its survival and success (Grant 1996, Webber 1993). Knowledge management (KM) impacts the firm's ability to develop process features that reduce manufacturing…

  11. A Bayesian framework for knowledge attribution: evidence from semantic integration.

    PubMed

    Powell, Derek; Horne, Zachary; Pinillos, N Ángel; Holyoak, Keith J

    2015-06-01

    We propose a Bayesian framework for the attribution of knowledge, and apply this framework to generate novel predictions about knowledge attribution for different types of "Gettier cases", in which an agent is led to a justified true belief yet has made erroneous assumptions. We tested these predictions using a paradigm based on semantic integration. We coded the frequencies with which participants falsely recalled the word "thought" as "knew" (or a near synonym), yielding an implicit measure of conceptual activation. Our experiments confirmed the predictions of our Bayesian account of knowledge attribution across three experiments. We found that Gettier cases due to counterfeit objects were not treated as knowledge (Experiment 1), but those due to intentionally-replaced evidence were (Experiment 2). Our findings are not well explained by an alternative account focused only on luck, because accidentally-replaced evidence activated the knowledge concept more strongly than did similar false belief cases (Experiment 3). We observed a consistent pattern of results across a number of different vignettes that varied the quality and type of evidence available to agents, the relative stakes involved, and surface details of content. Accordingly, the present findings establish basic phenomena surrounding people's knowledge attributions in Gettier cases, and provide explanations of these phenomena within a Bayesian framework.

  12. [Development of semantic knowledge in children's associative false memory].

    PubMed

    Nabeta, Tomohiro; Mekuta, Jun-ichi; Kamigaki, Akiko; Matsui, Gota; Park, Shin-Young; Yamazaki, Akira

    2008-02-01

    In the Deese-Roediger-McDermott (DRM) procedure, false recall of a word that was not presented (the critical-lure) can be produced when participants study a list of associative words related to the critical-lure. Recently, some studies using the DRM procedure showed that young children did not produce false recall. The present study hypothesized that the children did not produce false recall in those studies because the lists of words did not reflect the children's associative knowledge. To test this possibility, the present study developed lists that reflect the associative knowledge of five-year-old children and examined false recall using the DRM procedure. The results showed that children falsely recalled the critical-lure after studying the lists that reflected the children's associative knowledge, while they did not recall the critical-lure after studying the lists that reflected adults' associative knowledge. The results indicate that children produce false recall when the lists of words reflect those children's associative knowledge. The present finding suggests that the structuring of semantic knowledge that mediates false recall of the critical-lure has developed five years of age.

  13. Knowledge Management: A Skeptic's Guide

    NASA Technical Reports Server (NTRS)

    Linde, Charlotte

    2006-01-01

    A viewgraph presentation discussing knowledge management is shown. The topics include: 1) What is Knowledge Management? 2) Why Manage Knowledge? The Presenting Problems; 3) What Gets Called Knowledge Management? 4) Attempts to Rethink Assumptions about Knowledgs; 5) What is Knowledge? 6) Knowledge Management and INstitutional Memory; 7) Knowledge Management and Culture; 8) To solve a social problem, it's easier to call for cultural rather than organizational change; 9) Will the Knowledge Management Effort Succeed? and 10) Backup: Metrics for Valuing Intellectural Capital i.e. Knowledge.

  14. Knowledge management across domains

    NASA Astrophysics Data System (ADS)

    Gilfillan, Lynne G.; Haddock, Gail; Borek, Stan

    2001-02-01

    This paper presents a secure, Internet-enabled, third wave knowledge management system. TheResearchPlaceTM, that will facilitate a collaborative, strategic approach to analyzing public safety problems and developing interventions to reduce them. TheResearchPlace, currently being developed under Government and private funding for use by the National Cancer Institute, Federal agencies, and the Defense Advanced Research Project Agency, will augment Geographic Information Systems and analytical tool capabilities by providing a synergistic workspace where teams of multidisciplinary professions can manage portfolios of existing knowledge resources, locate and create new knowledge resources that are added to portfolios, and collaborate with colleagues to leverage evolving portfolios' capabilities on team missions. TheResearchPlace is currently in use by selected alpha users at selected federal sites, and by the faculty of Howard University.

  15. Receptive vocabulary and semantic knowledge in children with SLI and children with Down syndrome.

    PubMed

    Laws, Glynis; Briscoe, Josie; Ang, Su-Yin; Brown, Heather; Hermena, Ehab; Kapikian, Anna

    2015-01-01

    Receptive vocabulary and associated semantic knowledge were compared within and between groups of children with specific language impairment (SLI), children with Down syndrome (DS), and typically developing children. To overcome the potential confounding effects of speech or language difficulties on verbal tests of semantic knowledge, a novel task was devised based on picture-based semantic association tests used to assess adult patients with semantic dementia. Receptive vocabulary, measured by word-picture matching, of children with SLI was weak relative to chronological age and to nonverbal mental age but their semantic knowledge, probed across the same lexical items, did not differ significantly from that of vocabulary-matched typically developing children. By contrast, although receptive vocabulary of children with DS was a relative strength compared to nonverbal cognitive abilities (p < .0001), DS was associated with a significant deficit in semantic knowledge (p < .0001) indicative of dissociation between word-picture matching vocabulary and depth of semantic knowledge. Overall, these data challenge the integrity of semantic-conceptual development in DS and imply that contemporary theories of semantic cognition should also seek to incorporate evidence from atypical conceptual development.

  16. Knowledge Evolution in Distributed Geoscience Datasets and the Role of Semantic Technologies

    NASA Astrophysics Data System (ADS)

    Ma, X.

    2014-12-01

    Knowledge evolves in geoscience, and the evolution is reflected in datasets. In a context with distributed data sources, the evolution of knowledge may cause considerable challenges to data management and re-use. For example, a short news published in 2009 (Mascarelli, 2009) revealed the geoscience community's concern that the International Commission on Stratigraphy's change to the definition of Quaternary may bring heavy reworking of geologic maps. Now we are in the era of the World Wide Web, and geoscience knowledge is increasingly modeled and encoded in the form of ontologies and vocabularies by using semantic technologies. Accordingly, knowledge evolution leads to a consequence called ontology dynamics. Flouris et al. (2008) summarized 10 topics of general ontology changes/dynamics such as: ontology mapping, morphism, evolution, debugging and versioning, etc. Ontology dynamics makes impacts at several stages of a data life cycle and causes challenges, such as: the request for reworking of the extant data in a data center, semantic mismatch among data sources, differentiated understanding of a same piece of dataset between data providers and data users, as well as error propagation in cross-discipline data discovery and re-use (Ma et al., 2014). This presentation will analyze the best practices in the geoscience community so far and summarize a few recommendations to reduce the negative impacts of ontology dynamics in a data life cycle, including: communities of practice and collaboration on ontology and vocabulary building, link data records to standardized terms, and methods for (semi-)automatic reworking of datasets using semantic technologies. References: Flouris, G., Manakanatas, D., Kondylakis, H., Plexousakis, D., Antoniou, G., 2008. Ontology change: classification and survey. The Knowledge Engineering Review 23 (2), 117-152. Ma, X., Fox, P., Rozell, E., West, P., Zednik, S., 2014. Ontology dynamics in a data life cycle: Challenges and recommendations

  17. Implementation of a metadata architecture and knowledge collection to support semantic interoperability in an enterprise data warehouse.

    PubMed

    Dhaval, Rakesh; Borlawsky, Tara; Ostrander, Michael; Santangelo, Jennifer; Kamal, Jyoti; Payne, Philip R O

    2008-11-06

    In order to enhance interoperability between enterprise systems, and improve data validity and reliability throughout The Ohio State University Medical Center (OSUMC), we have initiated the development of an ontology-anchored metadata architecture and knowledge collection for our enterprise data warehouse. The metadata and corresponding semantic relationships stored in the OSUMC knowledge collection are intended to promote consistency and interoperability across the heterogeneous clinical, research, business and education information managed within the data warehouse.

  18. Utilizing knowledge-base semantics in graph-based algorithms

    SciTech Connect

    Darwiche, A.

    1996-12-31

    Graph-based algorithms convert a knowledge base with a graph structure into one with a tree structure (a join-tree) and then apply tree-inference on the result. Nodes in the join-tree are cliques of variables and tree-inference is exponential in w*, the size of the maximal clique in the join-tree. A central property of join-trees that validates tree-inference is the running-intersection property: the intersection of any two cliques must belong to every clique on the path between them. We present two key results in connection to graph-based algorithms. First, we show that the running-intersection property, although sufficient, is not necessary for validating tree-inference. We present a weaker property for this purpose, called running-interaction, that depends on non-structural (semantical) properties of a knowledge base. We also present a linear algorithm that may reduce w* of a join-tree, possibly destroying its running-intersection property, while maintaining its running-interaction property and, hence, its validity for tree-inference. Second, we develop a simple algorithm for generating trees satisfying the running-interaction property. The algorithm bypasses triangulation (the standard technique for constructing join-trees) and does not construct a join-tree first. We show that the proposed algorithm may in some cases generate trees that are more efficient than those generated by modifying a join-tree.

  19. Knowledge management: organizing nursing care knowledge.

    PubMed

    Anderson, Jane A; Willson, Pamela

    2009-01-01

    Almost everything we do in nursing is based on our knowledge. In 1984, Benner (From Novice to Expert: Excellence and Power in Clinical Nursing Practice. Menlo Park, CA: Addison-Wesley; 1984) described nursing knowledge as the culmination of practical experience and evidence from research, which over time becomes the "know-how" of clinical experience. This "know-how" knowledge asset is dynamic and initially develops in the novice critical care nurse, expands within competent and proficient nurses, and is actualized in the expert intensive care nurse. Collectively, practical "know-how" and investigational (evidence-based) knowledge culminate into the "knowledge of caring" that defines the profession of nursing. The purpose of this article is to examine the concept of knowledge management as a framework for identifying, organizing, analyzing, and translating nursing knowledge into daily practice. Knowledge management is described in a model case and implemented in a nursing research project.

  20. Information Semantic Tools for Coastal Data Management

    NASA Astrophysics Data System (ADS)

    Durbha, S. S.; King, R. L.; Younan, N. H.; Rajender, S. K.; Bheemireddy, S.

    2007-12-01

    In a coastal disaster event, it is necessary to obtain information about water level (depth), winds, currents, waves, temperature-salinity stratification in real time and predictions of water level (12-24 hrs), storm surge (48-72 hours) in advance. It has been estimated that better preparation, response, and mitigation will reduce average costs of storm-related disasters by 10%. The dissemination of information that is time critical calls for systems that will facilitate quick assessment of the scenario from multiple perspectives. Sensor data are obtained from a multitude of distributed sensor networks. Our current work funded by Northern Gulf Institute (NGI) on Sensor Web tools for coastal buoys based on OGC sensor web enablement framework enables the use of real or near real time data derived from coastal sensor networks and dynamic selection and aggregation of multiple sensor systems, meteorological and oceanographic simulations and other decision support systems in a web services- based environment. In addition, we pursue the semantic web approaches to understand the context of the data, resolve the meaning, interpretation or usage of the same or related data and develop knowledge-based tools for access to the information sources. Observations from satellites provide a variety of measurements that are not otherwise available or affordable. However, the use of such valuable information in a rapid assessment scenario is hindered by the fact that it is cumbersome to explore huge image databases through manual or semi automated methods. The Rapid Image information mining (RIIM) tool that we developed for this purpose is demonstrated with imagery data from Landsat ETM+ of post Katrina hurricane.

  1. Knowledge of Natural Kinds in Semantic Dementia and Alzheimer's Disease

    ERIC Educational Resources Information Center

    Cross, Katy; Smith, Edward E.; Grossman, Murray

    2008-01-01

    We examined the semantic impairment for natural kinds in patients with probable Alzheimer's disease (AD) and semantic dementia (SD) using an inductive reasoning paradigm. To learn about the relationships between natural kind exemplars and how these are distinguished from manufactured artifacts, subjects judged the strength of arguments such as…

  2. Detailed Clinical Models: Representing Knowledge, Data and Semantics in Healthcare Information Technology

    PubMed Central

    2014-01-01

    Objectives This paper will present an overview of the developmental effort in harmonizing clinical knowledge modeling using the Detailed Clinical Models (DCMs), and will explain how it can contribute to the preservation of Electronic Health Records (EHR) data. Methods Clinical knowledge modeling is vital for the management and preservation of EHR and data. Such modeling provides common data elements and terminology binding with the intention of capturing and managing clinical information over time and location independent from technology. Any EHR data exchange without an agreed clinical knowledge modeling will potentially result in loss of information. Results Many attempts exist from the past to model clinical knowledge for the benefits of semantic interoperability using standardized data representation and common terminologies. The objective of each project is similar with respect to consistent representation of clinical data, using standardized terminologies, and an overall logical approach. However, the conceptual, logical, and the technical expressions are quite different in one clinical knowledge modeling approach versus another. There currently are synergies under the Clinical Information Modeling Initiative (CIMI) in order to create a harmonized reference model for clinical knowledge models. Conclusions The goal for the CIMI is to create a reference model and formalisms based on for instance the DCM (ISO/TS 13972), among other work. A global repository of DCMs may potentially be established in the future. PMID:25152829

  3. Relating visual to verbal semantic knowledge: the evaluation of object recognition in prosopagnosia.

    PubMed

    Barton, Jason J S; Hanif, Hashim; Ashraf, Sohi

    2009-12-01

    Assessment of face specificity in prosopagnosia is hampered by difficulty in gauging pre-morbid expertise for non-face object categories, for which humans vary widely in interest and experience. In this study, we examined the correlation between visual and verbal semantic knowledge for cars to determine if visual recognition accuracy could be predicted from verbal semantic scores. We had 33 healthy subjects and six prosopagnosic patients first rated their own knowledge of cars. They were then given a test of verbal semantic knowledge that presented them with the names of car models, to which they were to match the manufacturer. Lastly, they were given a test of visual recognition, presenting them with images of cars to which they were to provide information at three levels of specificity: model, manufacturer and decade of make. In controls, while self-ratings were only moderately correlated with either visual recognition or verbal semantic knowledge, verbal semantic knowledge was highly correlated with visual recognition, particularly for more specific levels of information. Item concordance showed that less-expert subjects were more likely to provide the most specific information (model name) for the image when they could also match the manufacturer to its name. Prosopagnosic subjects showed reduced visual recognition of cars after adjusting for verbal semantic scores. We conclude that visual recognition is highly correlated with verbal semantic knowledge, that formal measures of verbal semantic knowledge are a more accurate gauge of expertise than self-ratings, and that verbal semantic knowledge can be used to adjust tests of visual recognition for pre-morbid expertise in prosopagnosia.

  4. Semantic Knowledge Use in Discourse Produced by Individuals with Anomic Aphasia

    PubMed Central

    Kintz, Stephen; Wright, Heather Harris; Fergadiotis, Gerasimos

    2015-01-01

    Background Researchers have demonstrated that people with aphasia (PWA) have preserved semantic knowledge (Dell et al., 1997; Jefferies & Lambon Ralph, 2006). However, Antonucci (2014) demonstrated that some PWA have impaired access to certain types of knowledge more than others. Yet, all these studies used single concepts. It has not been demonstrated whether PWA have difficulty accessing certain types of features within a discourse sample. Aims The main goals of this study were to determine if semantic knowledge and two category types were used differently within discourse produced by participants with anomic aphasia and healthy controls. Method & Procedures Participants with anomic aphasia (n=19) and healthy controls (n=19) told stories that were transcribed and coded for 10 types of semantic knowledge and two category types, living and nonliving things. Outcomes & Results A Poisson regression model was conducted. The results indicated a significant difference between the groups for the semantic knowledge types, sound and internal state, but no difference was found for category types. Yet the distribution of semantic knowledge and category types produced within the discourse samples were similar between the groups. Conclusion PWA might have differential access to certain types of semantic knowledge within discourse production, but it does not rise to the level of categorical deficits. These findings extend single-concept research into the realm of discourse. PMID:27429506

  5. European Managers' Interpretations of Participation: A Semantic Network Analysis.

    ERIC Educational Resources Information Center

    Stohl, Cynthia

    1993-01-01

    Explores cultural variations in managers' interpretations of a key communicative process: worker participation. Finds that semantic patterns derived from structural analyses indicate cultural differences in meanings managers from five European Community nations attach to the term "participation." Supports two of G. Hofstede's dimensions…

  6. Knowledge to Manage the Knowledge Society

    ERIC Educational Resources Information Center

    Minati, Gianfranco

    2012-01-01

    Purpose: The purpose of this research is to make evident the inadequateness of concepts and language based on industrial knowledge still used in current practices by managers to cope with problems of the post-industrial societies characterised by non-linear process of emergence and acquisition of properties. The purpose is to allow management to…

  7. Knowledge Management: Usefulness of Knowledge to Organizational Managers

    ERIC Educational Resources Information Center

    Klein, Roy L.

    2010-01-01

    The purpose of this study was to determine the level of knowledge-usefulness to organizational managers. The determination of the level of usefulness provided organizational managers with a reliable measure of their decision-making. Organizational workers' perceptions of knowledge accessibility, quality of knowledge content, timeliness, and user…

  8. Modality specific semantic knowledge loss for unique items.

    PubMed

    Kartsounis, L D; Shallice, T

    1996-03-01

    We report the case of a man who, following a major myocardial infarction, suffered anoxia followed by significant event memory impairment. Investigations indicated that his semantic memory for word concepts and object meanings was well preserved. However, he had great difficulty in identifying in the visual (but not verbal) modality historically known people, such as Queen Elizabeth I and Napoleon, and well known world and London landmarks, such as the Parthenon and Buckingham Palace. This selective impairment could not be accounted for in terms of prosopagnosia or high level visual perceptual deficits and we interpret it as a modality specific semantic memory loss for unique objects.

  9. Investigating the Knowledge Management Culture

    ERIC Educational Resources Information Center

    Stylianou, Vasso; Savva, Andreas

    2016-01-01

    Knowledge Management (KM) efforts aim at leveraging an organization into a knowledge organization thereby presenting knowledge employees with a very powerful tool; organized valuable knowledge accessible when and where needed in flexible, technologically-enhanced modes. The attainment of this aim, i.e., the transformation into a knowledge…

  10. A semantic web framework to integrate cancer omics data with biological knowledge

    PubMed Central

    2012-01-01

    Background The RDF triple provides a simple linguistic means of describing limitless types of information. Triples can be flexibly combined into a unified data source we call a semantic model. Semantic models open new possibilities for the integration of variegated biological data. We use Semantic Web technology to explicate high throughput clinical data in the context of fundamental biological knowledge. We have extended Corvus, a data warehouse which provides a uniform interface to various forms of Omics data, by providing a SPARQL endpoint. With the querying and reasoning tools made possible by the Semantic Web, we were able to explore quantitative semantic models retrieved from Corvus in the light of systematic biological knowledge. Results For this paper, we merged semantic models containing genomic, transcriptomic and epigenomic data from melanoma samples with two semantic models of functional data - one containing Gene Ontology (GO) data, the other, regulatory networks constructed from transcription factor binding information. These two semantic models were created in an ad hoc manner but support a common interface for integration with the quantitative semantic models. Such combined semantic models allow us to pose significant translational medicine questions. Here, we study the interplay between a cell's molecular state and its response to anti-cancer therapy by exploring the resistance of cancer cells to Decitabine, a demethylating agent. Conclusions We were able to generate a testable hypothesis to explain how Decitabine fights cancer - namely, that it targets apoptosis-related gene promoters predominantly in Decitabine-sensitive cell lines, thus conveying its cytotoxic effect by activating the apoptosis pathway. Our research provides a framework whereby similar hypotheses can be developed easily. PMID:22373303

  11. Lexical-semantic body knowledge in 5- to 11-year-old children: How spatial body representation influences body semantics.

    PubMed

    Auclair, Laurent; Jambaqué, Isabelle

    2015-01-01

    This study addresses the relation between lexico-semantic body knowledge (i.e., body semantics) and spatial body representation (i.e., structural body representation) by analyzing naming performances as a function of body structural topography. One hundred and forty-one children ranging from 5 years 2 months to 10 years 5 months old were asked to provide a lexical label for isolated body part pictures. We compared the children's naming performances according to the location of the body parts (body parts vs. head features and also upper vs. lower limbs) or to their involvement in motor skills (distal segments, joints, and broader body parts). The results showed that the children's naming performance was better for facial body parts than for other body parts. Furthermore, it was found that the naming of body parts was better for body parts related to action. These findings suggest that the development of a spatial body representation shapes the elaboration of semantic body representation processing. Moreover, this influence was not limited to younger children. In our discussion of these results, we focus on the important role of action in the development of body representations and semantic organization.

  12. Development of Category-based Induction and Semantic Knowledge

    ERIC Educational Resources Information Center

    Fisher, Anna V.; Godwin, Karrie E.; Matlen, Bryan J.; Unger, Layla

    2015-01-01

    Category-based induction is a hallmark of mature cognition; however, little is known about its origins. This study evaluated the hypothesis that category-based induction is related to semantic development. Computational studies suggest that early on there is little differentiation among concepts, but learning and development lead to increased…

  13. JournalMap: Geo-semantic searching for relevant knowledge

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Ecologists struggling to understand rapidly changing environments and evolving ecosystem threats need quick access to relevant research and documentation of natural systems. The advent of semantic and aggregation searching (e.g., Google Scholar, Web of Science) has made it easier to find useful lite...

  14. Social Dialect, the Semantic Barrier, and Access to Curricular Knowledge.

    ERIC Educational Resources Information Center

    Corson, David

    1983-01-01

    The theory of the lexical bar is introduced, based on research in England and Australia. A semantic barrier exists in the English lexicon, separating the lexes of conservative peripheral dialects from those of dominant central dialects, producing differential educational attainment, and reproducing class-based division of labor. (MSE)

  15. The representation of conceptual knowledge: visual, auditory, and olfactory imagery compared with semantic processing.

    PubMed

    Palmiero, Massimiliano; Di Matteo, Rosalia; Belardinelli, Marta Olivetti

    2014-05-01

    Two experiments comparing imaginative processing in different modalities and semantic processing were carried out to investigate the issue of whether conceptual knowledge can be represented in different format. Participants were asked to judge the similarity between visual images, auditory images, and olfactory images in the imaginative block, if two items belonged to the same category in the semantic block. Items were verbally cued in both experiments. The degree of similarity between the imaginative and semantic items was changed across experiments. Experiment 1 showed that the semantic processing was faster than the visual and the auditory imaginative processing, whereas no differentiation was possible between the semantic processing and the olfactory imaginative processing. Experiment 2 revealed that only the visual imaginative processing could be differentiated from the semantic processing in terms of accuracy. These results showed that the visual and auditory imaginative processing can be differentiated from the semantic processing, although both visual and auditory images strongly rely on semantic representations. On the contrary, no differentiation is possible within the olfactory domain. Results are discussed in the frame of the imagery debate.

  16. Service Knowledge Spaces for Semantic Collaboration in Web-based Systems

    NASA Astrophysics Data System (ADS)

    Bianchini, Devis; de Antonellis, Valeria; Melchiori, Michele

    Semantic Web technologies have been applied to enable collaboration in open distributed systems, where interoperability issues raise due to the absence of a global view of the shared resources. Adoption of service-oriented technologies has improved interoperability at the application level by exporting systems functionalities as Web services. In fact, Service Oriented Architecture (SOA) constitutes an appropriate platform-independent approach to implement collaboration activities by means of automatic service discovery and composition. Recently, service discovery has been applied to collaborative environments such as the P2P one, where independent partners need cooperate through resource sharing without a stable network configuration and adopting different semantic models. Model-based techniques relying on Semantic Web need be defined to generate semantic service descriptions, allowing collaborative partners to export their functionalities in a semantic way. Semantic-based service matchmaking techniques are in charge of effectively and efficiently evaluating similarity between service requests and service offers in a huge, dynamic distributed environment. The result is an evolving service knowledge space where collaborative partners that provide similar services are semantically related and constitute synergic service centres in a given domain. Specific modeling requirements related to Semantic Web, service-oriented and P2P technologies must be considered.

  17. The semantic and episodic subcomponents of famous person knowledge: dissociation in healthy subjects.

    PubMed

    Piolino, Pascale; Lamidey, Virginie; Desgranges, Béatrice; Eustache, Francis

    2007-01-01

    Fifty-two subjects between ages 40 and 79 years were administered a questionnaire assessing their ability to recall semantic information about famous people from 4 different decades and to recollect its episodic source of acquisition together with autonoetic consciousness via the remember-know paradigm. In addition, they underwent a battery of standardized neuropsychological tests to assess episodic and semantic memory and executive functions. The analyses of age reveal differences for the episodic source score but no differences between age groups for the semantic scores within each decade. Regardless of the age of people, the analyses also show that semantic memory subcomponents of the famous person test are highly associated with each other as well as with the source component. The recall of semantic information on the famous person test relies on participants' semantic abilities, whereas the recall of its episodic source depends on their executive functions. The present findings confirm the existence of an episodic-semantic distinction in knowledge about famous people. They provide further evidence that personal source and semantic information are at once distinct and highly interactive within the framework of remote memory.

  18. Semantics in the Motor System: Motor-Cortical Beta Oscillations Reflect Semantic Knowledge of End-Postures for Object Use

    PubMed Central

    van Elk, Michiel; van Schie, Hein T.; van den Heuvel, Ruby; Bekkering, Harold

    2009-01-01

    In the present EEG study we investigated whether semantic knowledge for object use is represented in motor-related brain areas. Subjects were required to perform actions with everyday objects and to maintain either a meaningful or a meaningless end posture with the object. Analysis of the EEG data focused on the beta-frequency band, as previous studies have indicated that the maintenance of a posture is reflected in stronger beta-oscillations. Time frequency analysis indicated that the execution of actions resulting in a meaningless compared to a meaningful end posture was accompanied by a stronger beta-desynchronization towards the end of the movement and a stronger subsequent beta-rebound after posture-onset. The effect in the beta-frequency band was localized to premotor, parietal and medial frontal areas and could not be attributed to differences in timing or movement complexity between meaningful and meaningless actions. Together these findings directly show that the motor system is differentially activated during the execution and maintenance of semantically correct or incorrect end postures. This suggests that semantic object knowledge is indeed represented in motor-related brain areas, organized around specific end postures associated with the use of objects. PMID:20161997

  19. Evidence for a dissociation of structural and semantic knowledge in dementia of the Alzheimer type (DAT).

    PubMed

    Hajilou, B Bruce; Done, D John

    2007-03-02

    Object recognition and naming deficits in dementia of the Alzheimer type (DAT) have typically been attributed to deficits in semantic processing, with only a few studies proposing loci of deficits other than semantic. One possible cause of DAT object recognition impairments could involve deficits in processing structural aspects of visually presented items. In this paper, we assess the performance of a group of mild DAT patients on two tasks of structural access, object decision, and the complete/incomplete task (based on part-whole matching task), as well as on a semantic probes task, designed to assess the patients' semantic knowledge of the same items for which structural knowledge had earlier been assessed. The DAT patients were substantially impaired in their performance on tasks of structural access. Further, no evidence for item-to-item consistency in the DAT patients' errors for the structural and semantic tasks was found, raising the possibility that structural and semantic knowledge may become differentially impaired in DAT.

  20. Local Semantic Trace: A Method to Analyze Very Small and Unstructured Texts for Propositional Knowledge

    ERIC Educational Resources Information Center

    Pirnay-Dummer, Pablo

    2015-01-01

    A local semantic trace is a certain quasi-propositional structure that can still be reconstructed from written content that is incomplete or does not follow a proper grammar. It can also retrace bits of knowledge from text containing only very few words, making the microstructure of these artifacts of knowledge externalization available for…

  1. Literary Genres and the Construction of Knowledge in Biology: Semantic Shifts and Scientific Change.

    ERIC Educational Resources Information Center

    Sinding, Christiane

    1996-01-01

    Analyzes the literary strategy used by a biologist in order to make a new knowledge claim in a different discipline. Argues that review papers afford the best opportunity for constructing new knowledge claims, because they do not have to conform to a routinely standardized structure, and they allow a wider semantic repertoire than do experimental…

  2. Contribution of Prior Semantic Knowledge to New Episodic Learning in Amnesia

    ERIC Educational Resources Information Center

    Kan, Irene P.; Alexander, Michael P.; Verfaellie, Mieke

    2009-01-01

    We evaluated whether prior semantic knowledge would enhance episodic learning in amnesia. Subjects studied prices that are either congruent or incongruent with prior price knowledge for grocery and household items and then performed a forced-choice recognition test for the studied prices. Consistent with a previous report, healthy controls'…

  3. Semantic Repositories for eGovernment Initiatives: Integrating Knowledge and Services

    NASA Astrophysics Data System (ADS)

    Palmonari, Matteo; Viscusi, Gianluigi

    In recent years, public sector investments in eGovernment initiatives have depended on making more reliable existing governmental ICT systems and infrastructures. Furthermore, we assist at a change in the focus of public sector management, from the disaggregation, competition and performance measurements typical of the New Public Management (NPM), to new models of governance, aiming for the reintegration of services under a new perspective in bureaucracy, namely a holistic approach to policy making which exploits the extensive digitalization of administrative operations. In this scenario, major challenges are related to support effective access to information both at the front-end level, by means of highly modular and customizable content provision, and at the back-end level, by means of information integration initiatives. Repositories of information about data and services that exploit semantic models and technologies can support these goals by bridging the gap between the data-level representations and the human-level knowledge involved in accessing information and in searching for services. Moreover, semantic repository technologies can reach a new level of automation for different tasks involved in interoperability programs, both related to data integration techniques and service-oriented computing approaches. In this chapter, we discuss the above topics by referring to techniques and experiences where repositories based on conceptual models and ontologies are used at different levels in eGovernment initiatives: at the back-end level to produce a comprehensive view of the information managed in the public administrations' (PA) information systems, and at the front-end level to support effective service delivery.

  4. Knowledge Management and Academic Libraries.

    ERIC Educational Resources Information Center

    Townley, Charles T.

    2001-01-01

    The emerging field of knowledge management offers academic libraries the opportunity to improve effectiveness, both for themselves and their parent institutions. This article summarizes knowledge management theory. Current applications in academic libraries and higher education are described. Similarities and difficulties between knowledge…

  5. ADEpedia: a scalable and standardized knowledge base of Adverse Drug Events using semantic web technology.

    PubMed

    Jiang, Guoqian; Solbrig, Harold R; Chute, Christopher G

    2011-01-01

    A source of semantically coded Adverse Drug Event (ADE) data can be useful for identifying common phenotypes related to ADEs. We proposed a comprehensive framework for building a standardized ADE knowledge base (called ADEpedia) through combining ontology-based approach with semantic web technology. The framework comprises four primary modules: 1) an XML2RDF transformation module; 2) a data normalization module based on NCBO Open Biomedical Annotator; 3) a RDF store based persistence module; and 4) a front-end module based on a Semantic Wiki for the review and curation. A prototype is successfully implemented to demonstrate the capability of the system to integrate multiple drug data and ontology resources and open web services for the ADE data standardization. A preliminary evaluation is performed to demonstrate the usefulness of the system, including the performance of the NCBO annotator. In conclusion, the semantic web technology provides a highly scalable framework for ADE data source integration and standard query service.

  6. Knowledge management: an innovative risk management strategy.

    PubMed

    Zipperer, Lorri; Amori, Geri

    2011-01-01

    Knowledge management effectively lends itself to the enterprise risk process. The authors introduce the concept of knowledge management as a strategy to drive innovation and support risk management. They align this work with organizational efforts to improve patient safety and quality through the effective sharing of experience and lessons learned. The article closes with suggestions on how to develop a knowledge management initiative at an organization, who should be on the team, and how to sustain this effort and build the culture it requires to drive success.

  7. Semantically-based priors and nuanced knowledge core for Big Data, Social AI, and language understanding.

    PubMed

    Olsher, Daniel

    2014-10-01

    Noise-resistant and nuanced, COGBASE makes 10 million pieces of commonsense data and a host of novel reasoning algorithms available via a family of semantically-driven prior probability distributions. Machine learning, Big Data, natural language understanding/processing, and social AI can draw on COGBASE to determine lexical semantics, infer goals and interests, simulate emotion and affect, calculate document gists and topic models, and link commonsense knowledge to domain models and social, spatial, cultural, and psychological data. COGBASE is especially ideal for social Big Data, which tends to involve highly implicit contexts, cognitive artifacts, difficult-to-parse texts, and deep domain knowledge dependencies.

  8. A multi-agent-based, semantic-driven system for decision support in epidemic management.

    PubMed

    Li, Sen; Mackaness, William A

    2015-09-01

    Issues in epidemiology are truly multidisciplinary, requiring knowledge from diverse disciplines such as sociology, medicine, biology, geography and information science. Such inherent complexity has led to a challenge in developing decision support systems for epidemic information management, especially when data are from heterogeneous origins. In order to achieve a solution, an integrative framework is proposed. The Semantic Web is introduced in the context of enriching meaningful and machine-readable descriptions of epidemiological data. Software agents are utilised to achieve automation in semantic discovery, composition of data and process services. The objective is to enhance the performance in information retrieval in a dynamic decision-making environment while concealing technical complexity from inexperienced users. We illustrate how a prototype system can be developed by considering an epidemiology management scenario in which spatio-temporal analysis is undertaken of a specified epidemic.

  9. Increase Productivity Through Knowledge Management

    NASA Astrophysics Data System (ADS)

    Gavrikova, N. A.; Dolgih, I. N.; Dyrina, E. N.

    2016-04-01

    Increase in competition level requires companies to improve the efficiency of work force use characterized by labor productivity. Professional knowledge of staff and its experience play the key role in it. The results of Extrusion Line operator’s working time analysis are performed in this article. The analysis revealed that the reasons of working time ineffective use connected with inadequate information exchange and knowledge management in the company. Authors suggest the way to solve this problem: the main sources of knowledge in engineering enterprise have been defined, the conditions of success and the stages of knowledge management control have been stated.

  10. The representation of semantic knowledge in a child with Williams syndrome.

    PubMed

    Robinson, Sally J; Temple, Christine M

    2009-05-01

    This study investigated whether there are distinct types of semantic knowledge with distinct representational bases during development. The representation of semantic knowledge in a teenage child (S.T.) with Williams syndrome was explored for the categories of animals, fruit, and vegetables, manipulable objects, and nonmanipulable objects. S.T.'s lexical stores were of a normal size but the volume of "sensory feature" semantic knowledge she generated in oral descriptions was reduced. In visual recognition decisions, S.T. made more false positives to nonitems than did controls. Although overall naming of pictures was unimpaired, S.T. exhibited a category-specific anomia for nonmanipulable objects and impaired naming of visual-feature descriptions of animals. S.T.'s performance was interpreted as reflecting the impaired integration of distinctive features from perceptual input, which may impact upon nonmanipulable objects to a greater extent than the other knowledge categories. Performance was used to inform adult-based models of semantic representation, with category structure proposed to emerge due to differing degrees of dependency upon underlying knowledge types, feature correlations, and the acquisition of information from modality-specific processing modules.

  11. Knowledge Management as Enterprise

    ERIC Educational Resources Information Center

    Kutay, Cat

    2007-01-01

    Indigenous people have been for a long time deprived of financial benefit from their knowledge. Campaigns around the stolen wages and the "Pay the Rent" campaign highlight this. As does the endemic poverty and economic disenfranchisement experienced by many Indigenous people and communities in Australia. Recent enterprises developed by…

  12. Social Web and Knowledge Management

    NASA Astrophysics Data System (ADS)

    Dolog, Peter; Krötzsch, Markus; Schaffert, Sebastian; Vrandečić, Denny

    Knowledge Management is the study and practice of representing, communicating, organizing, and applying knowledge in organizations. Moreover, being used by organizations, it is inherently social. The Web, as a medium, enables new forms of communications and interactions and requires new ways to represent knowledge assets. It is therefore obvious that the Web will influence and change Knowledge Management, but it is very unclear what the impact of these changes will be. This chapter raises questions and discusses visions in the area that connects the Social Web and Knowledge Management - an area of research that is only just emerging. The World Wide Web conference 2008 in Beijing hosted a workshop on that question, bringing together researchers and practitioners to gain first insights toward answering questions of that area.

  13. Knowledge Management for Shared Awareness

    DTIC Science & Technology

    2013-05-01

    Toward Organizational Change.” Journal of Managerial Psychology , Vol. 19, No. 2, 2004. 93 10. GLOSSARY [15]15 Knowledge Management Glossary...from one another. Conceptual Knowledge: Abstract mental models of the world. Concepts, Perspectives, and Gestalts are meta-models for complex

  14. Knowledge Management in Academic Institutions

    ERIC Educational Resources Information Center

    Adhikari, Dev Raj

    2010-01-01

    Purpose: The purpose of this paper is to present a concept of knowledge among the campus chiefs and other university leaders to make them aware of how important knowledge management (KM) is to achieve quality education criteria. Design/methodology/approach: The approach of the article is basically conceptual and descriptive. The article was…

  15. Information content versus relational knowledge: semantic deficits in patients with Alzheimer's disease.

    PubMed

    Aronoff, Justin M; Gonnerman, Laura M; Almor, Amit; Arunachalam, Sudha; Kempler, Daniel; Andersen, Elaine S

    2006-01-01

    Studies of semantic impairment in Alzheimer's disease (AD) have yielded conflicting results, some finding evidence of considerable deficits, others finding that semantic knowledge is relatively intact. How do we reconcile findings from picture naming tasks that seem to indicate semantic impairment in AD with results from certain sorting tasks that suggest intact semantics? To investigate the basis of the contradictory results described above, we conducted a study using two types of tasks: (1) picture naming; and (2) board sorting. The board sorting task we used is a simultaneous similarity judgment task, in which participants are asked to place more similar concepts closer together and less similar ones farther apart. We compared the performance of AD patients on these two tasks, using a number of different analyses that yield very different patterns of results. Our results indicate that whether patients show impairment or not depends on both the nature of the task and the subsequent analysis chosen. Specifically, tasks and analyses that focus on relational knowledge (e.g., dog is more related to cat than to camel) lead to different conclusions than those based on specific information about individual items. These findings suggest that the board sorting method, when coupled with multiple analyses, provides a more complete picture of the underlying semantic deficit in AD than previous studies have shown.

  16. Impaired Semantic Knowledge Underlies the Reduced Verbal Short-Term Storage Capacity in Alzheimer's Disease

    ERIC Educational Resources Information Center

    Peters, Frederic; Majerus, Steve; De Baerdemaeker, Julie; Salmon, Eric; Collette, Fabienne

    2009-01-01

    A decrease in verbal short-term memory (STM) capacity is consistently observed in patients with Alzheimer's disease (AD). Although this impairment has been mainly attributed to attentional deficits during encoding and maintenance, the progressive deterioration of semantic knowledge in early stages of AD may also be an important determinant of poor…

  17. NPI Licensing and Beyond: Children's Knowledge of the Semantics of "Any"

    ERIC Educational Resources Information Center

    Tieu, Lyn; Lidz, Jeffrey

    2016-01-01

    This article presents a study of preschool-aged children's knowledge of the semantics of the negative polarity item (NPI) "any". NPIs like "any" differ in distribution from non-polarity-sensitive indefinites like "a": "Any" is restricted to downward-entailing linguistic environments (Fauconnier 1975, 1979;…

  18. Impaired semantic knowledge underlies the reduced verbal short-term storage capacity in Alzheimer's disease.

    PubMed

    Peters, Frédéric; Majerus, Steve; De Baerdemaeker, Julie; Salmon, Eric; Collette, Fabienne

    2009-12-01

    A decrease in verbal short-term memory (STM) capacity is consistently observed in patients with Alzheimer's disease (AD). Although this impairment has been mainly attributed to attentional deficits during encoding and maintenance, the progressive deterioration of semantic knowledge in early stages of AD may also be an important determinant of poor STM performance. The aim of this study was to examine the influence of semantic knowledge on verbal short-term memory storage capacity in normal aging and in AD by exploring the impact of word imageability on STM performance. Sixteen patients suffering from mild AD, 16 healthy elderly subjects and 16 young subjects performed an immediate serial recall task using word lists containing high or low imageability words. All participant groups recalled more high imageability words than low imageability words, but the effect of word imageability on verbal STM was greater in AD patients than in both the young and the elderly control groups. More precisely, AD patients showed a marked decrease in STM performance when presented with lists of low imageability words, whereas recall of high imageability words was relatively well preserved. Furthermore, AD patients displayed an abnormal proportion of phonological errors in the low imageability condition. Overall, these results indicate that the support of semantic knowledge on STM performance was impaired for lists of low imageability words in AD patients. More generally, these findings suggest that the deterioration of semantic knowledge is partly responsible for the poor verbal short-term storage capacity observed in AD.

  19. Semantic Radical Knowledge and Word Recognition in Chinese for Chinese as Foreign Language Learners

    ERIC Educational Resources Information Center

    Su, Xiaoxiang; Kim, Young-Suk

    2014-01-01

    In the present study, we examined the relation of knowledge of semantic radicals to students' language proficiency and word reading for adult Chinese-as-a-foreign language students. Ninety-seven college students rated their proficiency in speaking, listening, reading, and writing in Chinese, and were administered measures of receptive and…

  20. The Role of Accessibility of Semantic Word Knowledge in Monolingual and Bilingual Fifth-Grade Reading

    ERIC Educational Resources Information Center

    Cremer, M.; Schoonen, R.

    2013-01-01

    The influences of word decoding, availability, and accessibility of semantic word knowledge on reading comprehension were investigated for monolingual "("n = 65) and bilingual children ("n" = 70). Despite equal decoding abilities, monolingual children outperformed bilingual children with regard to reading comprehension and…

  1. Multiple Influences of Semantic Memory on Sentence Processing: Distinct Effects of Semantic Relatedness on Violations of Real-World Event/State Knowledge and Animacy Selection Restrictions.

    PubMed

    Paczynski, Martin; Kuperberg, Gina R

    2012-11-01

    We aimed to determine whether semantic relatedness between an incoming word and its preceding context can override expectations based on two types of stored knowledge: real-world knowledge about the specific events and states conveyed by a verb, and the verb's broader selection restrictions on the animacy of its argument. We recorded event-related potentials on post-verbal Agent arguments as participants read and made plausibility judgments about passive English sentences. The N400 evoked by incoming animate Agent arguments that violated expectations based on real-world event/state knowledge, was strongly attenuated when they were semantically related to the context. In contrast, semantic relatedness did not modulate the N400 evoked by inanimate Agent arguments that violated the preceding verb's animacy selection restrictions. These findings suggest that, under these task and experimental conditions, semantic relatedness can facilitate processing of post-verbal animate arguments that violate specific expectations based on real-world event/state knowledge, but only when the semantic features of these arguments match the coarser-grained animacy restrictions of the verb. Animacy selection restriction violations also evoked a P600 effect, which was not modulated by semantic relatedness, suggesting that it was triggered by propositional impossibility. Together, these data indicate that the brain distinguishes between real-world event/state knowledge and animacy-based selection restrictions during online processing.

  2. Multiple Influences of Semantic Memory on Sentence Processing: Distinct Effects of Semantic Relatedness on Violations of Real-World Event/State Knowledge and Animacy Selection Restrictions

    PubMed Central

    Paczynski, Martin; Kuperberg, Gina R.

    2012-01-01

    We aimed to determine whether semantic relatedness between an incoming word and its preceding context can override expectations based on two types of stored knowledge: real-world knowledge about the specific events and states conveyed by a verb, and the verb’s broader selection restrictions on the animacy of its argument. We recorded event-related potentials on post-verbal Agent arguments as participants read and made plausibility judgments about passive English sentences. The N400 evoked by incoming animate Agent arguments that violated expectations based on real-world event/state knowledge, was strongly attenuated when they were semantically related to the context. In contrast, semantic relatedness did not modulate the N400 evoked by inanimate Agent arguments that violated the preceding verb’s animacy selection restrictions. These findings suggest that, under these task and experimental conditions, semantic relatedness can facilitate processing of post-verbal animate arguments that violate specific expectations based on real-world event/state knowledge, but only when the semantic features of these arguments match the coarser-grained animacy restrictions of the verb. Animacy selection restriction violations also evoked a P600 effect, which was not modulated by semantic relatedness, suggesting that it was triggered by propositional impossibility. Together, these data indicate that the brain distinguishes between real-world event/state knowledge and animacy-based selection restrictions during online processing. PMID:23284226

  3. A neural basis for category and modality specificity of semantic knowledge.

    PubMed

    Thompson-Schill, S L; Aguirre, G K; D'Esposito, M; Farah, M J

    1999-06-01

    Prevalent theories hold that semantic memory is organized by sensorimotor modality (e.g., visual knowledge, motor knowledge). While some neuroimaging studies support this idea, it cannot account for the category specific (e.g., living things) knowledge impairments seen in some brain damaged patients that cut across modalities. In this article we test an alternative model of how damage to interactive, modality-specific neural regions might give rise to these categorical impairments. Functional MRI was used to examine a cortical area with a known modality-specific function during the retrieval of visual and non-visual knowledge about living and non-living things. The specific predictions of our model regarding the signal observed in this area were confirmed, supporting the notion that semantic memory is functionally segregated into anatomically discrete, but highly interactive, modality-specific regions.

  4. The Politics of Management Knowledge.

    ERIC Educational Resources Information Center

    Clegg, Stewart R., Ed.; Palmer, Gill, Ed.

    This book recognizes the political nature of management knowledge, as a discourse produced from, and reproducing, power processes within and between organizations. Critical examinations of certain current management theories--lean production, excellence, entrepreneurship--are examples of relations of power that intermingle with relations of…

  5. Managing Knowledge through "Hoshin Kanri"

    ERIC Educational Resources Information Center

    Tennant C.; Roberts P.

    2003-01-01

    A fundamental challenge within business organizations (whether manufacturing or service, large or small) is posed by the difficulties associated with managing knowledge to integrate the long-term vision and strategic goals with daily working processes and with people. The traditional Western approach of "Management by Objectives" (MbO)…

  6. Knowledge-oriented semantics modelling towards uncertainty reasoning.

    PubMed

    Mohammed, Abdul-Wahid; Xu, Yang; Liu, Ming

    2016-01-01

    Distributed reasoning in M2M leverages the expressive power of ontology to enable semantic interoperability between heterogeneous systems of connected devices. Ontology, however, lacks the built-in, principled support to effectively handle the uncertainty inherent in M2M application domains. Thus, efficient reasoning can be achieved by integrating the inferential reasoning power of probabilistic representations with the first-order expressiveness of ontology. But there remains a gap with current probabilistic ontologies since state-of-the-art provides no compatible representation for simultaneous handling of discrete and continuous quantities in ontology. This requirement is paramount, especially in smart homes, where continuous quantities cannot be avoided, and simply mapping continuous information to discrete states through quantization can cause a great deal of information loss. In this paper, we propose a hybrid probabilistic ontology that can simultaneously handle distributions over discrete and continuous quantities in ontology. We call this new framework HyProb-Ontology, and it specifies distributions over properties of classes, which serve as templates for instances of classes to inherit as well as overwrite some aspects. Since there cannot be restriction on the dependency topology of models that HyProb-Ontology can induce across different domains, we can achieve a unified Ground Hybrid Probabilistic Model by conditional Gaussian fuzzification of the distributions of the continuous variables in ontology. From the results of our experiments, this unified model can achieve exact inference with better performance over classical Bayesian networks.

  7. Semantically Documenting Virtual Reconstruction: Building a Path to Knowledge Provenance

    NASA Astrophysics Data System (ADS)

    Bruseker, G.; Guillem, A.; Carboni, N.

    2015-08-01

    The outcomes of virtual reconstructions of archaeological monuments are not just images for aesthetic consumption but rather present a scholarly argument and decision making process. They are based on complex chains of reasoning grounded in primary and secondary evidence that enable a historically probable whole to be reconstructed from the partial remains left in the archaeological record. This paper will explore the possibilities for documenting and storing in an information system the phases of the reasoning, decision and procedures that a modeler, with the support of an archaeologist, uses during the virtual reconstruction process and how they can be linked to the reconstruction output. The goal is to present a documentation model such that the foundations of evidence for the reconstructed elements, and the reasoning around them, are made not only explicit and interrogable but also can be updated, extended and reused by other researchers in future work. Using as a case-study the reconstruction of a kitchen in a Roman domus in Grand, we will examine the necessary documentation requirements, and the capacity to express it using semantic technologies. For our study we adopt the CIDOC-CRM ontological model, and its extensions CRMinf, CRMBa and CRMgeo as a starting point for modelling the arguments and relations.

  8. The different neural correlates of action and functional knowledge in semantic memory: an FMRI study.

    PubMed

    Canessa, Nicola; Borgo, Francesca; Cappa, Stefano F; Perani, Daniela; Falini, Andrea; Buccino, Giovanni; Tettamanti, Marco; Shallice, Tim

    2008-04-01

    Previous reports suggest that the internal organization of semantic memory is in terms of different "types of knowledge," including "sensory" (information about perceptual features), "action" (motor-based knowledge of object utilization), and "functional" (abstract properties, as function and context of use). Consistent with this view, a specific loss of action knowledge, with preserved functional knowledge, has been recently observed in patients with left frontoparietal lesions. The opposite pattern (impaired functional knowledge with preserved action knowledge) was reported in association with anterior inferotemporal lesions. In the present study, the cerebral representation of action and functional knowledge was investigated using event-related analysis of functional magnetic resonance imaging data. Fifteen subjects were presented with pictures showing pairs of manipulable objects and asked whether the objects within each pair were used with the same manipulation pattern ("action knowledge" condition) or in the same context ("functional knowledge" condition). Direct comparisons showed action knowledge, relative to functional knowledge, to activate a left frontoparietal network, comprising the intraparietal sulcus, the inferior parietal lobule, and the dorsal premotor cortex. The reverse comparison yielded activations in the retrosplenial and the lateral anterior inferotemporal cortex. These results confirm and extend previous neuropsychological data and support the hypothesis of the existence of different types of information processing in the internal organization of semantic memory.

  9. Knowledge Management Technology: Making Good Choices.

    ERIC Educational Resources Information Center

    Chapman, Linda D. R.; Coukos, Eleni D.; Pisapia, John

    2001-01-01

    Discusses the reliability of technology products that support knowledge management, particularly in higher education. Presents a conceptual framework for knowledge management technology, evaluates available software products, concludes that most products perform poorly, and offers recommendations for knowledge management strategies. (LRW)

  10. The Roles of Knowledge Professionals for Knowledge Management.

    ERIC Educational Resources Information Center

    Kim, Seonghee

    This paper starts by exploring the definition of knowledge and knowledge management; examples of acquisition, creation, packaging, application, and reuse of knowledge are provided. It then considers the partnership for knowledge management and especially how librarians as knowledge professionals, users, and technology experts can contribute to…

  11. Towards virtual knowledge broker services for semantic integration of life science literature and data sources.

    PubMed

    Harrow, Ian; Filsell, Wendy; Woollard, Peter; Dix, Ian; Braxenthaler, Michael; Gedye, Richard; Hoole, David; Kidd, Richard; Wilson, Jabe; Rebholz-Schuhmann, Dietrich

    2013-05-01

    Research in the life sciences requires ready access to primary data, derived information and relevant knowledge from a multitude of sources. Integration and interoperability of such resources are crucial for sharing content across research domains relevant to the life sciences. In this article we present a perspective review of data integration with emphasis on a semantics driven approach to data integration that pushes content into a shared infrastructure, reduces data redundancy and clarifies any inconsistencies. This enables much improved access to life science data from numerous primary sources. The Semantic Enrichment of the Scientific Literature (SESL) pilot project demonstrates feasibility for using already available open semantic web standards and technologies to integrate public and proprietary data resources, which span structured and unstructured content. This has been accomplished through a precompetitive consortium, which provides a cost effective approach for numerous stakeholders to work together to solve common problems.

  12. The Emerging Phenomenon of Knowledge Management.

    ERIC Educational Resources Information Center

    Broadbent, Marianne

    1997-01-01

    Clarifies the meaning of knowledge management and gives examples of organizations that overtly practice it. Outlines four steps in knowledge management: (1) making knowledge visible; (2) building knowledge intensity; (3) building knowledge infrastructure; and (4) developing a knowledge culture. Discusses managing people as assets, librarians as…

  13. The role of textual semantic constraints in knowledge-based inference generation during reading comprehension: A computational approach.

    PubMed

    Yeari, Menahem; van den Broek, Paul

    2015-01-01

    The present research adopted a computational approach to explore the extent to which the semantic content of texts constrains the activation of knowledge-based inferences. Specifically, we examined whether textual semantic constraints (TSC) can explain (1) the activation of predictive inferences, (2) the activation of bridging inferences and (3) the higher prevalence of the activation of bridging inferences compared to predictive inferences. To examine these hypotheses, we computed the strength of semantic associations between texts and probe items as presented to human readers in previous behavioural studies, using the Latent Semantic Analysis (LSA) algorithm. We tested whether stronger semantic associations are observed for inferred items compared to control items. Our results show that in 15 out of 17 planned comparisons, the computed strength of semantic associations successfully simulated the activation of inferences. These findings suggest that TSC play a central role in the activation of knowledge-based inferences.

  14. Ensuring competitive advantage with semantic design process management

    SciTech Connect

    Quazzani, A.; Bernard, A.; Bocquet, J.C.

    1996-12-31

    In the field of design assistance, it is important to improve records of design history and management of design process. Indeed, we propose a modelling approach of design process that focuses on representation of semantic actions. We have identified two types of actions: physical design actions focusing on the product (e.g., parameter creation, shaft dimensioning) and management actions that allow management of the process from the planning and control viewpoint (e.g., synchronization actions, a resource allocation for a task). A taxonomy of these actions has been established according to several criteria (granularity, fields of action ... ) selected in consideration of our process management interests. Linkage with objective and rationale is also discussed.

  15. Preserved knowledge of maps of countries: implications for the organization of semantic memory.

    PubMed

    della Rocchetta, Antonio Incisa; Cipolotti, Lisa

    2004-06-01

    We describe two patients with selectively preserved knowledge of the category of countries. Following a series of cerebral infarcts, patient DB presented with severe perceptual impairment, including dense apperceptive agnosia,prosopagnosia, and topographical agnosia. Despite these deficits, he could effortlessly name countries from their outline maps. Patient WH, who suffered from semantic dementia, had severe naming and comprehension difficulties, with extremely sparse residual semantic knowledge. Remarkably, the category of countries was preserved. First, we argue that, for both patients, this category preservation occurs at a semantic level. Second, we discuss our findings in the context of three current models of category-specific effects (perceptual, ontogenetic, and evolutionary models). We argue that the perceptual model (Humphreys and colleagues) cannot easily accommodate our findings. By contrast, the ontogenetic (Warrington and colleagues) and evolutionary models (Caramazza and colleagues) can explain our findings. However, some modifications to both models are required. The ontogenetic model needs to envisage a spatial channel for the development of map knowledge, which is anatomically separate from channels of other categories of knowledge. The evolutionary model needs to envisage the possibility that some categories of knowledge, such as countries, may not be prewired, but learned during ontogenetic development.

  16. Syntactic and Semantic Validation without a Metadata Management System

    NASA Technical Reports Server (NTRS)

    Pollack, Janine; Gokey, Christopher D.; Kendig, David; Olsen, Lola; Wharton, Stephen W. (Technical Monitor)

    2001-01-01

    The ability to maintain quality information is essential to securing the confidence in any system for which the information serves as a data source. NASA's Global Change Master Directory (GCMD), an online Earth science data locator, holds over 9000 data set descriptions and is in a constant state of flux as metadata are created and updated on a daily basis. In such a system, the importance of maintaining the consistency and integrity of these-metadata is crucial. The GCMD has developed a metadata management system utilizing XML, controlled vocabulary, and Java technologies to ensure the metadata not only adhere to valid syntax, but also exhibit proper semantics.

  17. Multiple Influences of Semantic Memory on Sentence Processing: Distinct Effects of Semantic Relatedness on Violations of Real-World Event/State Knowledge and Animacy Selection Restrictions

    ERIC Educational Resources Information Center

    Paczynski, Martin; Kuperberg, Gina R.

    2012-01-01

    We aimed to determine whether semantic relatedness between an incoming word and its preceding context can override expectations based on two types of stored knowledge: real-world knowledge about the specific events and states conveyed by a verb, and the verb's broader selection restrictions on the animacy of its argument. We recorded event-related…

  18. A cloud-based semantic wiki for user training in healthcare process management.

    PubMed

    Papakonstantinou, D; Poulymenopoulou, M; Malamateniou, F; Vassilacopoulos, G

    2011-01-01

    Successful healthcare process design requires active participation of users who are familiar with the cooperative and collaborative nature of healthcare delivery, expressed in terms of healthcare processes. Hence, a reusable, flexible, agile and adaptable training material is needed with the objective to enable users instill their knowledge and expertise in healthcare process management and (re)configuration activities. To this end, social software, such as a wiki, could be used as it supports cooperation and collaboration anytime, anywhere and combined with semantic web technology that enables structuring pieces of information for easy retrieval, reuse and exchange between different systems and tools. In this paper a semantic wiki is presented as a means for developing training material for healthcare providers regarding healthcare process management. The semantic wiki should act as a collective online memory containing training material that is accessible to authorized users, thus enhancing the training process with collaboration and cooperation capabilities. It is proposed that the wiki is stored in a secure virtual private cloud that is accessible from anywhere, be it an excessively open environment, while meeting the requirements of redundancy, high performance and autoscaling.

  19. Apraxia, mechanical problem solving and semantic knowledge: contributions to object usage in corticobasal degeneration.

    PubMed

    Spatt, Josef; Bak, Thomas; Bozeat, Sasha; Patterson, Karalyn; Hodges, John R

    2002-05-01

    To investigate the nature of the apraxia in corticobasal degeneration (CBD) five patients with CBD and five matched controls were compared on tests of: i) meaningless and symbolic gesture production, ii) a battery of semantic tasks based on 20 everyday items (involving naming and picture-picture matching according to semantic attributes, matching gestures-to-objects, object usage from name and with the real object) and iii) a novel tool test of mechanical problem solving. All five patients showed severe impairment in the production of meaningless and symbolic gestures from command, and by imitation, and were also impaired when using real objects. Deficits were not, however, restricted to action production: four were unable to match gestures to objects and all five showed impairment in the selection and usage of novel tools in the mechanical problem solving task. Surprising was the finding of an additional semantic knowledge breakdown in three cases, two of whom were markedly anomic. The apraxia in CBD is, therefore, multifactorial. There is profound breakdown in the organisation and co-ordination of motor programming. In addition, patients show central deficits in action knowledge and mechanical problem solving, which has been linked to parietal lobe pathology. General semantic memory may also be affected in CBD in some cases and this may then contribute to impaired object usage. This combination of more than one deficit relevant for object use may explain why CBD patients are far more disabled by their dyspraxia in everyday life than any other patient group.

  20. Approach for ontological modeling of database schema for the generation of semantic knowledge on the web

    NASA Astrophysics Data System (ADS)

    Rozeva, Anna

    2015-11-01

    Currently there is large quantity of content on web pages that is generated from relational databases. Conceptual domain models provide for the integration of heterogeneous content on semantic level. The use of ontology as conceptual model of a relational data sources makes them available to web agents and services and provides for the employment of ontological techniques for data access, navigation and reasoning. The achievement of interoperability between relational databases and ontologies enriches the web with semantic knowledge. The establishment of semantic database conceptual model based on ontology facilitates the development of data integration systems that use ontology as unified global view. Approach for generation of ontologically based conceptual model is presented. The ontology representing the database schema is obtained by matching schema elements to ontology concepts. Algorithm of the matching process is designed. Infrastructure for the inclusion of mediation between database and ontology for bridging legacy data with formal semantic meaning is presented. Implementation of the knowledge modeling approach on sample database is performed.

  1. Using a Semantic Wiki for Documentation Management in Very Small Projects

    NASA Astrophysics Data System (ADS)

    Ribaud, Vincent; Saliou, Philippe

    The emerging ISO/IEC 29110 standard Lifecycle profiles for Very Small Entities is targeted at very small entity (VSE) having up to 25 people, to assist them unlock the potential benefits of using software engineering standards. VSEs may use semantic web technologies to improve documentation management infrastructure and processes. We proposed to use a semantic wiki for documentation management based on an identification scheme inspired from an IFLA proposition called Functional Requirements for Bibliographic Records. The document identification scheme allows documents to be managed by the internal resource management of the semantic wiki, hence benefiting from a straightforward but powerful version control. With few inputs of semantic annotations by VSE employees - through usable semantic forms and templates, the semantic wiki acts as a library catalog, and users can find, identify, select, obtain, and navigate resources.

  2. Object knowledge changes visual appearance: semantic effects on color afterimages.

    PubMed

    Lupyan, Gary

    2015-10-01

    According to predictive coding models of perception, what we see is determined jointly by the current input and the priors established by previous experience, expectations, and other contextual factors. The same input can thus be perceived differently depending on the priors that are brought to bear during viewing. Here, I show that expected (diagnostic) colors are perceived more vividly than arbitrary or unexpected colors, particularly when color input is unreliable. Participants were tested on a version of the 'Spanish Castle Illusion' in which viewing a hue-inverted image renders a subsequently shown achromatic version of the image in vivid color. Adapting to objects with intrinsic colors (e.g., a pumpkin) led to stronger afterimages than adapting to arbitrarily colored objects (e.g., a pumpkin-colored car). Considerably stronger afterimages were also produced by scenes containing intrinsically colored elements (grass, sky) compared to scenes with arbitrarily colored objects (books). The differences between images with diagnostic and arbitrary colors disappeared when the association between the image and color priors was weakened by, e.g., presenting the image upside-down, consistent with the prediction that color appearance is being modulated by color knowledge. Visual inputs that conflict with prior knowledge appear to be phenomenologically discounted, but this discounting is moderated by input certainty, as shown by the final study which uses conventional images rather than afterimages. As input certainty is increased, unexpected colors can become easier to detect than expected ones, a result consistent with predictive-coding models.

  3. Total Quality Management in a Knowledge Management Perspective.

    ERIC Educational Resources Information Center

    Johannsen, Carl Gustav

    2000-01-01

    Presents theoretical considerations on both similarities and differences between information management and knowledge management and presents a conceptual model of basic knowledge management processes. Discusses total quality management and quality control in the context of information management. (Author/LRW)

  4. Knowledge Management and Reference Services

    ERIC Educational Resources Information Center

    Gandhi, Smiti

    2004-01-01

    Many corporations are embracing knowledge management (KM) to capture the intellectual capital of their employees. This article focuses on KM applications for reference work in libraries. It defines key concepts of KM, establishes a need for KM for reference services, and reviews various KM initiatives for reference services.

  5. Knowledge Management in Small Firms

    NASA Astrophysics Data System (ADS)

    Panyasorn, Jessada; Panteli, Niki; Powell, Philip

    This paper explores knowledge management in small and medium-sized firms (SMEs). It investigates the use of Lotus Notes in SMEs of a developing country as a counterpoint to the large firm, developed country emphasis of existing research. It develops taxonomy of Lotus Notes use within the context of different knowledge management processes; notably communicating, co-ordinating and collaborating. The study employs an interpretive approach using three case studies. The key findings suggest that publishing, searching, sharing and retrieving are the user modes for enabling sharing and storing information. Evidence of knowledge creation is found at the departmental level but not at the organizational level. Further, small firms may explore more groupware potential than large organizations and this reflects their different context. Finally, implications for further research are identified.

  6. Knowledge Management Analysis: A Case Study

    ERIC Educational Resources Information Center

    Mecha, Ezi I.; Desai, Mayur S.; Richards, Thomas C.

    2009-01-01

    It is imperative for businesses to manage knowledge and stay competitive in the marketplace. Knowledge management is critical and is a key to prevent organizations from duplicating their efforts with a subsequent improvement in their efficiency. This study focuses on overview of knowledge management, analyzes the current knowledge management in…

  7. Knowledge extraction and semantic annotation of text from the encyclopedia of life.

    PubMed

    Thessen, Anne E; Parr, Cynthia Sims

    2014-01-01

    Numerous digitization and ontological initiatives have focused on translating biological knowledge from narrative text to machine-readable formats. In this paper, we describe two workflows for knowledge extraction and semantic annotation of text data objects featured in an online biodiversity aggregator, the Encyclopedia of Life. One workflow tags text with DBpedia URIs based on keywords. Another workflow finds taxon names in text using GNRD for the purpose of building a species association network. Both workflows work well: the annotation workflow has an F1 Score of 0.941 and the association algorithm has an F1 Score of 0.885. Existing text annotators such as Terminizer and DBpedia Spotlight performed well, but require some optimization to be useful in the ecology and evolution domain. Important future work includes scaling up and improving accuracy through the use of distributional semantics.

  8. The neural network associated with lexical-semantic knowledge about social groups.

    PubMed

    Piretti, Luca; Carnaghi, Andrea; Campanella, Fabio; Ambron, Elisabetta; Skrap, Miran; Rumiati, Raffaella I

    2015-09-01

    A person can be appraised as an individual or as a member of a social group. In the present study we tested whether the knowledge about social groups is represented independently of the living and non-living things. Patients with frontal and temporal lobe tumors involving either the left or the right hemisphere performed three tasks--picture naming, word-to-picture matching and picture sorting--tapping the lexical semantic knowledge of living things, non-living things and social groups. Both behavioral and voxel-based lesion-symptom mapping (VLSM) analyses suggested that social groups might be represented differently from other categories. VLSM analysis carried out on naming errors revealed that left-lateralized lesions in the inferior frontal gyrus, amygdala, insula and basal ganglia were associated with the lexical-semantic processing of social groups. These findings indicate that the social group representation may rely on areas associated with affective processing.

  9. Knowledge Extraction and Semantic Annotation of Text from the Encyclopedia of Life

    PubMed Central

    Thessen, Anne E.; Parr, Cynthia Sims

    2014-01-01

    Numerous digitization and ontological initiatives have focused on translating biological knowledge from narrative text to machine-readable formats. In this paper, we describe two workflows for knowledge extraction and semantic annotation of text data objects featured in an online biodiversity aggregator, the Encyclopedia of Life. One workflow tags text with DBpedia URIs based on keywords. Another workflow finds taxon names in text using GNRD for the purpose of building a species association network. Both workflows work well: the annotation workflow has an F1 Score of 0.941 and the association algorithm has an F1 Score of 0.885. Existing text annotators such as Terminizer and DBpedia Spotlight performed well, but require some optimization to be useful in the ecology and evolution domain. Important future work includes scaling up and improving accuracy through the use of distributional semantics. PMID:24594988

  10. Managing Corporate Risk through Better Knowledge Management

    ERIC Educational Resources Information Center

    Neef, Dale

    2005-01-01

    Purpose: To explain how progressive companies are using a combination of knowledge and risk management (KRM) systems and techniques in order to help them to prevent, or respond most effectively to, ethical or reputation-damaging incidents. Design/methodology/approach: The paper explains KRM, develops a corporate integrity framework, and then…

  11. Integration and Querying of Genomic and Proteomic Semantic Annotations for Biomedical Knowledge Extraction.

    PubMed

    Masseroli, Marco; Canakoglu, Arif; Ceri, Stefano

    2016-01-01

    Understanding complex biological phenomena involves answering complex biomedical questions on multiple biomolecular information simultaneously, which are expressed through multiple genomic and proteomic semantic annotations scattered in many distributed and heterogeneous data sources; such heterogeneity and dispersion hamper the biologists' ability of asking global queries and performing global evaluations. To overcome this problem, we developed a software architecture to create and maintain a Genomic and Proteomic Knowledge Base (GPKB), which integrates several of the most relevant sources of such dispersed information (including Entrez Gene, UniProt, IntAct, Expasy Enzyme, GO, GOA, BioCyc, KEGG, Reactome, and OMIM). Our solution is general, as it uses a flexible, modular, and multilevel global data schema based on abstraction and generalization of integrated data features, and a set of automatic procedures for easing data integration and maintenance, also when the integrated data sources evolve in data content, structure, and number. These procedures also assure consistency, quality, and provenance tracking of all integrated data, and perform the semantic closure of the hierarchical relationships of the integrated biomedical ontologies. At http://www.bioinformatics.deib.polimi.it/GPKB/, a Web interface allows graphical easy composition of queries, although complex, on the knowledge base, supporting also semantic query expansion and comprehensive explorative search of the integrated data to better sustain biomedical knowledge extraction.

  12. Effects of Emotional and Sensorimotor Knowledge in Semantic Processing of Concrete and Abstract Nouns

    PubMed Central

    Newcombe, P. Ian; Campbell, Cale; Siakaluk, Paul D.; Pexman, Penny M.

    2012-01-01

    There is much empirical evidence that words’ relative imageability and body-object interaction (BOI) facilitate lexical processing for concrete nouns (e.g., Bennett et al., 2011). These findings are consistent with a grounded cognition framework (e.g., Barsalou, 2008), in which sensorimotor knowledge is integral to lexical processing. In the present study, we examined whether lexical processing is also sensitive to the dimension of emotional experience (i.e., the ease with which words evoke emotional experience), which is also derived from a grounded cognition framework. We examined the effects of emotional experience, imageability, and BOI in semantic categorization for concrete and abstract nouns. Our results indicate that for concrete nouns, emotional experience was associated with less accurate categorization, whereas imageability and BOI were associated with faster and more accurate categorization. For abstract nouns, emotional experience was associated with faster and more accurate categorization, whereas BOI was associated with slower and less accurate categorization. This pattern of results was observed even with many other lexical and semantic dimensions statistically controlled. These findings are consistent with Vigliocco et al.’s (2009) theory of semantic representation, which states that emotional knowledge underlies meanings for abstract concepts, whereas sensorimotor knowledge underlies meanings for concrete concepts. PMID:23060778

  13. Semantic Information Management Control of Mission Asset State Changes

    DTIC Science & Technology

    2014-06-01

    other being ontology instantiation ( OWL ). OWL can be seen as the semantic web equivalent of schemas to the standardized document object model. The real...unstructured relational fact defined without an OWL counterpart. Applying these observations to an operational, real world use case demonstrates the...semantically expressed via a set of indexers. The result of semantic processing is a semantic RDF/ OWL document that relates values for details

  14. Effects of induced orthographic and semantic knowledge on subsequent learning: A test of the partial knowledge hypothesis.

    PubMed

    Adlof, Suzanne; Frishkoff, Gwen; Dandy, Jennifer; Perfetti, Charles

    2016-03-01

    Word learning can build the high-quality word representations that support skilled reading and language comprehension. According to the partial knowledge hypothesis, words that are partially known, also known as "frontier words" (Durso & Shore, 1991), may be good targets for instruction precisely because they are already familiar. However, studies investigating this question have produced mixed findings, and individual differences in baseline knowledge have complicated results both within and across studies. We present two studies that took a different approach, controlling both familiarity and the nature of the familiarizing episode. We controlled familiarity with novel words through pre-exposure ("pre-familiarization") in isolation, to induce form-based familiarity, or in sentences that provided few clues to meaning, to induce partial semantic knowledge. The number of pre-exposures varied (0, 1, or 4). After the pre-familiarization phase, we presented the words in several highly informative sentences to support meaning acquisition. Participants included both adults and typically developing children, ages 9-12. Participants' self-rated familiarity with target words, and their knowledge of the words' meanings and orthography were each measured at baseline, immediately after learning, and one week later. Orthographic and semantic word learning showed contrasting effects of pre-familiarization. For orthographic learning, it was the number, rather than the type, of pre-familiarizations that mattered most. By contrast, the number of pre-familiarizations had little impact on word semantic learning; further, pre-familiarization in low-constraint sentences did not consistently boost subsequent learning. These findings suggest that familiarity with a word prior to instruction does not necessarily improve word-learning outcomes, and they highlight the importance of repeated exposures to high quality contexts for robust word learning.

  15. Effects of induced orthographic and semantic knowledge on subsequent learning: A test of the partial knowledge hypothesis

    PubMed Central

    Adlof, Suzanne; Frishkoff, Gwen; Dandy, Jennifer; Perfetti, Charles

    2016-01-01

    Word learning can build the high-quality word representations that support skilled reading and language comprehension. According to the partial knowledge hypothesis, words that are partially known, also known as “frontier words” (Durso & Shore, 1991), may be good targets for instruction precisely because they are already familiar. However, studies investigating this question have produced mixed findings, and individual differences in baseline knowledge have complicated results both within and across studies. We present two studies that took a different approach, controlling both familiarity and the nature of the familiarizing episode. We controlled familiarity with novel words through pre-exposure (“pre-familiarization”) in isolation, to induce form-based familiarity, or in sentences that provided few clues to meaning, to induce partial semantic knowledge. The number of pre-exposures varied (0, 1, or 4). After the pre-familiarization phase, we presented the words in several highly informative sentences to support meaning acquisition. Participants included both adults and typically developing children, ages 9–12. Participants’ self-rated familiarity with target words, and their knowledge of the words’ meanings and orthography were each measured at baseline, immediately after learning, and one week later. Orthographic and semantic word learning showed contrasting effects of pre-familiarization. For orthographic learning, it was the number, rather than the type, of pre-familiarizations that mattered most. By contrast, the number of pre-familiarizations had little impact on word semantic learning; further, pre-familiarization in low-constraint sentences did not consistently boost subsequent learning. These findings suggest that familiarity with a word prior to instruction does not necessarily improve word-learning outcomes, and they highlight the importance of repeated exposures to high quality contexts for robust word learning. PMID:27777496

  16. Knowledge Management in Higher Education: A Knowledge Repository Approach

    ERIC Educational Resources Information Center

    Wedman, John; Wang, Feng-Kwei

    2005-01-01

    One might expect higher education, where the discovery and dissemination of new and useful knowledge is vital, to be among the first to implement knowledge management practices. Surprisingly, higher education has been slow to implement knowledge management practices (Townley, 2003). This article describes an ongoing research and development effort…

  17. The Role of Feature Sharedness in the Hierarchical Organization of Semantic Knowledge

    PubMed Central

    Marques, J. Frederico

    2013-01-01

    Data from neuropsychological research suggest that categorizing objects at different levels of specificity requires different cognitive and neural processes. This short paper presents and discusses a theoretical hypothesis for this organization in terms of feature sharedness. It is proposed that superordinate concepts involve a larger absolute number of exemplars that share a particular feature, thus making them more resistant to damage than basic level concepts (i.e. superordinate advantage). Simultaneously, in relative terms, features are less shared overall by superordinate members than by basic level members, which imply higher executive requirements and can conversely lead to superordinate deficits. This hypothesis is discussed in relation to behavioral data from semantic dementia and stroke aphasia patients and fMRI data from healthy subjects that support the role of feature sharedness in the hierarchical organization of semantic knowledge. PMID:22713423

  18. Knowledge management: implications for human service organizations.

    PubMed

    Austin, Michael J; Claassen, Jennette; Vu, Catherine M; Mizrahi, Paola

    2008-01-01

    Knowledge management has recently taken a more prominent role in the management of organizations as worker knowledge and intellectual capital are recognized as critical to organizational success. This analysis explores the literature of knowledge management including the individual level of tacit and explicit knowledge, the networks and social interactions utilized by workers to create and share new knowledge, and the multiple organizational and managerial factors associated with effective knowledge management systems. Based on the role of organizational culture, structure, leadership, and reward systems, six strategies are identified to assist human service organizations with implementing new knowledge management systems.

  19. Knowledge Base Management for Model Management Systems.

    DTIC Science & Technology

    1983-06-01

    inter- faces as they relate to aspects of model base management. The focus of this study is to identify some organiza- tions of knowledge about models...Vertical thinking is loosely related to systemic thinking, where one idea establishes a logical foundation upon which to construct the next idea...thinking is somewhat associated with creative thinking, and the idea of pattern matching from one circumstance to another. Mintzberg IRef. 41 has related

  20. Perceptual and associative knowledge in category specific impairment of semantic memory: a study of two cases.

    PubMed

    Laiacona, M; Barbarotto, R; Capitani, E

    1993-12-01

    We report two head-injured patients whose knowledge of living things was selectively disrupted. Their semantic knowledge was tested with naming and verbal comprehension tasks and a verbal questionnaire. In all of them there was consistent evidence that knowledge of living things was impaired and that of non-living things was relatively preserved. The living things deficit emerged irrespective of whether the question tapped associative or perceptual knowledge or required visual or non visual information. In all tasks the category effect was still significant after the influence on the performance of the following variables was partialled out: word frequency, concept familiarity, prototypicality, name agreement, image agreement and visual complexity. In the verbal questionnaire dissociations were still significant even after adjustment for the difficulty of questions for normals, that had proven greater for living things. Besides diffuse brain damage, both patients presented with a left posterior temporo-parietal lesion.

  1. Knowledge acquisition, semantic text mining, and security risks in health and biomedical informatics.

    PubMed

    Huang, Jingshan; Dou, Dejing; Dang, Jiangbo; Pardue, J Harold; Qin, Xiao; Huan, Jun; Gerthoffer, William T; Tan, Ming

    2012-02-26

    Computational techniques have been adopted in medical and biological systems for a long time. There is no doubt that the development and application of computational methods will render great help in better understanding biomedical and biological functions. Large amounts of datasets have been produced by biomedical and biological experiments and simulations. In order for researchers to gain knowledge from original data, nontrivial transformation is necessary, which is regarded as a critical link in the chain of knowledge acquisition, sharing, and reuse. Challenges that have been encountered include: how to efficiently and effectively represent human knowledge in formal computing models, how to take advantage of semantic text mining techniques rather than traditional syntactic text mining, and how to handle security issues during the knowledge sharing and reuse. This paper summarizes the state-of-the-art in these research directions. We aim to provide readers with an introduction of major computing themes to be applied to the medical and biological research.

  2. Knowledge acquisition, semantic text mining, and security risks in health and biomedical informatics

    PubMed Central

    Huang, Jingshan; Dou, Dejing; Dang, Jiangbo; Pardue, J Harold; Qin, Xiao; Huan, Jun; Gerthoffer, William T; Tan, Ming

    2012-01-01

    Computational techniques have been adopted in medical and biological systems for a long time. There is no doubt that the development and application of computational methods will render great help in better understanding biomedical and biological functions. Large amounts of datasets have been produced by biomedical and biological experiments and simulations. In order for researchers to gain knowledge from original data, nontrivial transformation is necessary, which is regarded as a critical link in the chain of knowledge acquisition, sharing, and reuse. Challenges that have been encountered include: how to efficiently and effectively represent human knowledge in formal computing models, how to take advantage of semantic text mining techniques rather than traditional syntactic text mining, and how to handle security issues during the knowledge sharing and reuse. This paper summarizes the state-of-the-art in these research directions. We aim to provide readers with an introduction of major computing themes to be applied to the medical and biological research. PMID:22371823

  3. A Semantic Approach with Decision Support for Safety Service in Smart Home Management

    PubMed Central

    Huang, Xiaoci; Yi, Jianjun; Zhu, Xiaomin; Chen, Shaoli

    2016-01-01

    Research on smart homes (SHs) has increased significantly in recent years because of the convenience provided by having an assisted living environment. The functions of SHs as mentioned in previous studies, particularly safety services, are seldom discussed or mentioned. Thus, this study proposes a semantic approach with decision support for safety service in SH management. The focus of this contribution is to explore a context awareness and reasoning approach for risk recognition in SH that enables the proper decision support for flexible safety service provision. The framework of SH based on a wireless sensor network is described from the perspective of neighbourhood management. This approach is based on the integration of semantic knowledge in which a reasoner can make decisions about risk recognition and safety service. We present a management ontology for a SH and relevant monitoring contextual information, which considers its suitability in a pervasive computing environment and is service-oriented. We also propose a rule-based reasoning method to provide decision support through reasoning techniques and context-awareness. A system prototype is developed to evaluate the feasibility, time response and extendibility of the approach. The evaluation of our approach shows that it is more effective in daily risk event recognition. The decisions for service provision are shown to be accurate. PMID:27527170

  4. A Semantic Approach with Decision Support for Safety Service in Smart Home Management.

    PubMed

    Huang, Xiaoci; Yi, Jianjun; Zhu, Xiaomin; Chen, Shaoli

    2016-08-03

    Research on smart homes (SHs) has increased significantly in recent years because of the convenience provided by having an assisted living environment. The functions of SHs as mentioned in previous studies, particularly safety services, are seldom discussed or mentioned. Thus, this study proposes a semantic approach with decision support for safety service in SH management. The focus of this contribution is to explore a context awareness and reasoning approach for risk recognition in SH that enables the proper decision support for flexible safety service provision. The framework of SH based on a wireless sensor network is described from the perspective of neighbourhood management. This approach is based on the integration of semantic knowledge in which a reasoner can make decisions about risk recognition and safety service. We present a management ontology for a SH and relevant monitoring contextual information, which considers its suitability in a pervasive computing environment and is service-oriented. We also propose a rule-based reasoning method to provide decision support through reasoning techniques and context-awareness. A system prototype is developed to evaluate the feasibility, time response and extendibility of the approach. The evaluation of our approach shows that it is more effective in daily risk event recognition. The decisions for service provision are shown to be accurate.

  5. Data warehousing: toward knowledge management.

    PubMed

    Shams, K; Farishta, M

    2001-02-01

    With rapid changes taking place in the practice and delivery of health care, decision support systems have assumed an increasingly important role. More and more health care institutions are deploying data warehouse applications as decision support tools for strategic decision making. By making the right information available at the right time to the right decision makers in the right manner, data warehouses empower employees to become knowledge workers with the ability to make the right decisions and solve problems, creating strategic leverage for the organization. Health care management must plan and implement data warehousing strategy using a best practice approach. Through the power of data warehousing, health care management can negotiate bettermanaged care contracts based on the ability to provide accurate data on case mix and resource utilization. Management can also save millions of dollars through the implementation of clinical pathways in better resource utilization and changing physician behavior to best practices based on evidence-based medicine.

  6. Colour knowledge in semantic dementia: it is not all black and white.

    PubMed

    Rogers, Timothy T; Patterson, Karalyn; Graham, Kim

    2007-11-05

    In three experiments we assessed the colour knowledge of patients with semantic dementia, a neuro-degenerative condition that gradually erodes conceptual knowledge. In Experiment 1, the patients' colour naming performance correlated strongly with their object naming for frequency-matched items, with no patient showing better-than-expected naming of colours relative to objects. In Experiment 2, where patients were asked to colour black-and-white line drawings of common objects, all patients were impaired relative to controls, and performance correlated strongly with degree of semantic deficit. The fact that patients often erroneously selected green for fruits or vegetables, and brown for animals, suggests some preservation of general knowledge about the colours that typify a given domain. In Experiment 3, patients were given pairs of identical line drawings of familiar animals, fruits and vegetables--one of each pair coloured correctly, and one incorrectly--and were asked to choose the correct one. When the target's colour was characteristic of the domain, patients scored well; but when the distractor had a typical hue and the target's colour was unusual (e.g. a green versus an orange carrot), performance was far poorer. The results are discussed with reference to alternative theories about the neural basis of conceptual knowledge.

  7. Applications of Ontologies in Knowledge Management Systems

    NASA Astrophysics Data System (ADS)

    Rehman, Zobia; Kifor, Claudiu V.

    2014-12-01

    Enterprises are realizing that their core asset in 21st century is knowledge. In an organization knowledge resides in databases, knowledge bases, filing cabinets and peoples' head. Organizational knowledge is distributed in nature and its poor management causes repetition of activities across the enterprise. To get true benefits from this asset, it is important for an organization to "know what they know". That's why many organizations are investing a lot in managing their knowledge. Artificial intelligence techniques have a huge contribution in organizational knowledge management. In this article we are reviewing the applications of ontologies in knowledge management realm

  8. The organization and dissolution of semantic-conceptual knowledge: is the 'amodal hub' the only plausible model?

    PubMed

    Gainotti, Guido

    2011-04-01

    In recent years, the anatomical and functional bases of conceptual activity have attracted a growing interest. In particular, Patterson and Lambon-Ralph have proposed the existence, in the anterior parts of the temporal lobes, of a mechanism (the 'amodal semantic hub') supporting the interactive activation of semantic representations in all modalities and for all semantic categories. The aim of then present paper is to discuss this model, arguing against the notion of an 'amodal' semantic hub, because we maintain, in agreement with the Damasio's construct of 'higher-order convergence zone', that a continuum exists between perceptual information and conceptual representations, whereas the 'amodal' account views perceptual informations only as a channel through which abstract semantic knowledge can be activated. According to our model, semantic organization can be better explained by two orthogonal higher-order convergence systems, concerning, on one hand, the right vs. left hemisphere and, on the other hand, the ventral vs. dorsal processing pathways. This model posits that conceptual representations may be mainly based upon perceptual activities in the right hemisphere and upon verbal mediation in the left side of the brain. It also assumes that conceptual knowledge based on the convergence of highly processed visual information with other perceptual data (and mainly concerning living categories) may be bilaterally represented in the anterior parts of the temporal lobes, whereas knowledge based on the integration of visual data with action schemata (namely knowledge of actions, body parts and artefacts) may be more represented in the left fronto-temporo-parietal areas.

  9. A Semantic Web Based System for Context Metadata Management

    NASA Astrophysics Data System (ADS)

    Stefanov, Svetlin; Huang, Vincent

    With the increasing usage of embedded systems and sensors in our surroundings, a new type of information systems - context aware systems - are gaining importance. These user-centric systems acquire context information which describes the state of the user and the user environment, and offer adaptable and personalized services based on the user context information. The central part of a context aware system is the context model used for describing user context information. The context information originates from a multitude of heterogeneous sources, such as personal calendars, sensors attached to the users or to the user’s environment and Web based sources, such as social networking sites. The information from these sources is typically on different abstraction levels and is organized according to different data models. This work proposes a Semantic Web based context metadata management system. The first part of the work develops an ontology model for user context. The user context model integrates information from multiple and heterogeneous sources which are modeled largely by reusing existing well accepted ontologies. The second part of the work proposes a method to infer and reason about additional user context information based on the available context information using rules and ontologies. We instantiate and evaluate the proposed system by performing a social networking case study called meetFriends. In this application, information is collected from various sources such as sensors attached to the users and public web sources - YellowPages. The moods of the users are inferred from a set of rules. A meeting between two users can be set up based on the moods, locations and preferences of the users. The results indicate that Semantic Web technologies are well suited for integrating various data sources, processing of user context information, and enabling adaptable and personalized services.

  10. Personal Knowledge Management for Employee Commoditization

    ERIC Educational Resources Information Center

    Schild, Susie A.

    2013-01-01

    Knowledge management thinking has resulted in the perception that the organization is the relevant beneficiary of knowledge. Individual approaches to and experiences with personal knowledge management are not well documented in empirical studies, which uncovered the specific problem that the situatedness of knowledge worker contemporaries within…

  11. Knowledge Management: A Teacher Educator's Perspective

    ERIC Educational Resources Information Center

    Mohan, Radha

    2005-01-01

    Knowledge Management can be defined as a systematic process that creates, captures, shares, and analyzes knowledge in ways that directly improve performance. The goal of Knowledge Management is to improve the creation, dissemination, and exploitation of knowledge for the purpose of building competitive advantage. The proper use of knowledge…

  12. The breakdown of semantic knowledge: insights from a statistical model of meaning representation.

    PubMed

    Vinson, David P; Vigliocco, Gabriella; Cappa, Stefano; Siri, Simona

    2003-09-01

    Investigations of patients with semantic category-specific deficits have revealed a wide range of performance and variability in categories that are impaired or spared; this variability presents a challenge to accounts of category specificity. Accounts based only on impairment to semantic features of a particular type (e.g., visual), as well as accounts based only on featural properties (e.g., feature intercorrelations), are insufficient to explain the variability of patients' performance. A first goal of the paper is to discuss how a hybrid account incorporating both a level of organization according to feature types (a level of nonlinguistic conceptual representations) and a level of organization dictated by featural properties may provide a more comprehensive account of the cases reported in the literature. The second and most novel goal of the study reported here is to derive from our hybrid account a series of novel predictions concerning the representation and impairment of a different domain of knowledge: knowledge of actions and events, a domain of knowledge that has received remarkably little attention to date.

  13. Frogs Jump Forward: Semantic Knowledge Influences the Perception of Element Motion in the Ternus Display.

    PubMed

    Hsu, Patty; Taylor, J Eric T; Pratt, Jay

    2015-01-01

    The Ternus effect is a robust illusion of motion that produces element motion at short interstimulus intervals (ISIs; < 50 ms) and group motion at longer ISIs (> 50 ms). Previous research has shown that the nature of the stimuli (e.g., similarity, grouping), not just ISI, can influence the likelihood of perceiving element or group motion. We examined if semantic knowledge can also influence what type of illusory motion is perceived. In Experiment I, we used a modified Ternus display with pictures of frogs in a jump-ready pose facing forwards or backwards to the direction of illusory motion. Participants perceived more element motion with the forward-facing frogs and more group motion with the backward-facing frogs. Experiment 2 tested whether this effect would still occur with line drawings of frogs, or if a more life-like image was necessary. Experiment 3 tested whether this effect was due to visual asymmetries inherent in the jumping pose. Experiment 4 tested whether frogs in a "non-jumping," sedentary pose would replicate the original effect. These experiments elucidate the role of semantic knowledge in the Ternus effect. Prior knowledge of the movement of certain animate objects, in this case, frogs can also bias the perception of element or group motion.

  14. Charting the acquisition of semantic knowledge in a case of developmental amnesia.

    PubMed

    Gardiner, John M; Brandt, Karen R; Baddeley, Alan D; Vargha-Khadem, Faraneh; Mishkin, Mortimer

    2008-09-01

    We report the acquisition and recall of novel facts by Jon, a young adult with early onset developmental amnesia whose episodic memory is gravely impaired due to selective bilateral hippocampal damage. Jon succeeded in learning some novel facts but compared with a control group his intertrial retention was impaired during acquisition and, except for the most frequently repeated facts, he was also less accurate in correctly sourcing these facts to the experiment. The results further support the hypothesis that despite a severely compromised episodic memory and hippocampal system, there is nevertheless the capacity to accrue semantic knowledge available to recall.

  15. Mental Representations of HPV in Appalachia: Gender, Semantic Network Analysis, and Knowledge Gaps

    PubMed Central

    Smith, Rachel A; Parrott, Roxanne

    2013-01-01

    Media coverage has emphasized human papillomavirus (HPV) as a vaccine-preventable, sexually transmitted virus causing cervical cancer. Appalachian undergraduate students (N = 309, 50% female) were surveyed on their knowledge of HPV; analyses of mental representations were similar to content analyses of media coverage of HPV, suggesting media cultivation. Semantic network analysis revealed linkages between vaccine, disease causation and prevention, women's centrality in the representations, and structural differences that varied between vaccinated women, unvaccinated women, and men. The findings provided insights into gaps in the public's understanding of HPV, potential stigmatization of those testing HPV+, and future challenges in vaccinating men. PMID:22169895

  16. Implementation of Knowledge Management in Organizations

    ERIC Educational Resources Information Center

    Winkler, Katrin; Mandl, Heinz

    2007-01-01

    In the context of learning implementation of new ideas e.g. knowledge management in organizations often is neglected. Concerning knowledge management measures we demonstrate its implementation in organizations. A theoretical framework was developed showing the necessary basic conditions for implementing knowledge management. Subsequently we…

  17. Knowledge Management in Instructional Design. ERIC Digest.

    ERIC Educational Resources Information Center

    Spector, J. Michael; Edmonds, Gerald S.

    This digest reviews what instructional designers do, describes knowledge management, and indicates how knowledge management is influencing instructional design. The first section defines instructional design (ID) and briefly describes the ID process. The second section covers knowledge management (KM), including definitions of KM and systems,…

  18. The Development of Object Function and Manipulation Knowledge: Evidence from a Semantic Priming Study

    PubMed Central

    Collette, Cynthia; Bonnotte, Isabelle; Jacquemont, Charlotte; Kalénine, Solène; Bartolo, Angela

    2016-01-01

    Object semantics include object function and manipulation knowledge. Function knowledge refers to the goal attainable by using an object (e.g., the function of a key is to open or close a door) while manipulation knowledge refers to gestures one has to execute to use an object appropriately (e.g., a key is held between the thumb and the index, inserted into the door lock and then turned). To date, several studies have assessed function and manipulation knowledge in brain lesion patients as well as in healthy adult populations. In patients with left brain damage, a double dissociation between these two types of knowledge has been reported; on the other hand, behavioral studies in healthy adults show that function knowledge is processed faster than manipulation knowledge. Empirical evidence has shown that object interaction in children differs from that in adults, suggesting that the access to function and manipulation knowledge in children might also differ. To investigate the development of object function and manipulation knowledge, 51 typically developing 8-9-10 year-old children and 17 healthy young adults were tested on a naming task associated with a semantic priming paradigm (190-ms SOA; prime duration: 90 ms) in which a series of line drawings of manipulable objects were used. Target objects could be preceded by three priming contexts: related (e.g., knife-scissors for function; key-screwdriver for manipulation), unrelated but visually similar (e.g., glasses-scissors; baseball bat-screwdriver), and purely unrelated (e.g., die-scissors; tissue-screwdriver). Results showed a different developmental pattern of function and manipulation priming effects. Function priming effects were not present in children and emerged only in adults, with faster naming responses for targets preceded by objects sharing the same function. In contrast, manipulation priming effects were already present in 8-year-olds with faster naming responses for targets preceded by objects

  19. The Development of Object Function and Manipulation Knowledge: Evidence from a Semantic Priming Study.

    PubMed

    Collette, Cynthia; Bonnotte, Isabelle; Jacquemont, Charlotte; Kalénine, Solène; Bartolo, Angela

    2016-01-01

    Object semantics include object function and manipulation knowledge. Function knowledge refers to the goal attainable by using an object (e.g., the function of a key is to open or close a door) while manipulation knowledge refers to gestures one has to execute to use an object appropriately (e.g., a key is held between the thumb and the index, inserted into the door lock and then turned). To date, several studies have assessed function and manipulation knowledge in brain lesion patients as well as in healthy adult populations. In patients with left brain damage, a double dissociation between these two types of knowledge has been reported; on the other hand, behavioral studies in healthy adults show that function knowledge is processed faster than manipulation knowledge. Empirical evidence has shown that object interaction in children differs from that in adults, suggesting that the access to function and manipulation knowledge in children might also differ. To investigate the development of object function and manipulation knowledge, 51 typically developing 8-9-10 year-old children and 17 healthy young adults were tested on a naming task associated with a semantic priming paradigm (190-ms SOA; prime duration: 90 ms) in which a series of line drawings of manipulable objects were used. Target objects could be preceded by three priming contexts: related (e.g., knife-scissors for function; key-screwdriver for manipulation), unrelated but visually similar (e.g., glasses-scissors; baseball bat-screwdriver), and purely unrelated (e.g., die-scissors; tissue-screwdriver). Results showed a different developmental pattern of function and manipulation priming effects. Function priming effects were not present in children and emerged only in adults, with faster naming responses for targets preceded by objects sharing the same function. In contrast, manipulation priming effects were already present in 8-year-olds with faster naming responses for targets preceded by objects

  20. The Effect of Teaching Vocabulary through Semantic Mapping on EFL Learners' Awareness of the Affective Dimensions of Deep Vocabulary Knowledge

    ERIC Educational Resources Information Center

    Nilforoushan, Somayeh

    2012-01-01

    This study focused on the effect of teaching vocabulary through semantic mapping on the awareness of two affective dimensions, evaluation and potency dimensions of deep vocabulary knowledge as well as the general vocabulary knowledge of EFL students. Sixty intermediate EFL female adult learners participated in this study; they were chosen among 90…

  1. A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.

    ERIC Educational Resources Information Center

    Landauer, Thomas K; Dumais, Susan T.

    1997-01-01

    A theory of acquired similarity and knowledge representation, latent semantic analysis (LSA), is presented to explain how people know as much as they do with the little information they get. LSA suggests that some domains of knowledge contain vast numbers of weak intercorrelations that amplify learning by inference. (SLD)

  2. Designing a Semantic Bliki System to Support Different Types of Knowledge and Adaptive Learning

    ERIC Educational Resources Information Center

    Huang, Shiu-Li; Yang, Chia-Wei

    2009-01-01

    Though blogs and wikis have been used to support knowledge management and e-learning, existing blogs and wikis cannot support different types of knowledge and adaptive learning. A case in point, types of knowledge vary greatly in category and viewpoints. Additionally, adaptive learning is crucial to improving one's learning performance. This study…

  3. Enriching semantic knowledge bases for opinion mining in big data applications.

    PubMed

    Weichselbraun, A; Gindl, S; Scharl, A

    2014-10-01

    This paper presents a novel method for contextualizing and enriching large semantic knowledge bases for opinion mining with a focus on Web intelligence platforms and other high-throughput big data applications. The method is not only applicable to traditional sentiment lexicons, but also to more comprehensive, multi-dimensional affective resources such as SenticNet. It comprises the following steps: (i) identify ambiguous sentiment terms, (ii) provide context information extracted from a domain-specific training corpus, and (iii) ground this contextual information to structured background knowledge sources such as ConceptNet and WordNet. A quantitative evaluation shows a significant improvement when using an enriched version of SenticNet for polarity classification. Crowdsourced gold standard data in conjunction with a qualitative evaluation sheds light on the strengths and weaknesses of the concept grounding, and on the quality of the enrichment process.

  4. Developing Knowledge Representation in Emergency Medical Assistance by Using Semantic Web Techniques

    NASA Astrophysics Data System (ADS)

    Manica, Heloise; Rocha, Cristiano C.; Todesco, José Leomar; Dantas, M. A. R.

    In this research, a knowledge-based architecture for a mobile emergency medical assistance system is presented. It is based on the France SAMU model and dopts the ontology and mobile computing approaches. The contribution is characterized for providing routines and medical protocol specifications for specialists through the use of their natural language, collecting elements from this language to develop an ontology domain, and using a semantic cache for an enhanced utilization of mobile devices. A prototype of the proposal was implemented in order to support specialists during a day-to-day basis considering knowledge engineering aided by mobile computing techniques. These differentiated characteristics have proved to be successfully at early experiments utilizing the implemented prototype.

  5. Age of Bilingual Exposure Is Related to the Contribution of Phonological and Semantic Knowledge to Successful Reading Development.

    PubMed

    Jasińska, Kaja K; Petitto, Laura-Ann

    2017-02-07

    Bilingual children's reading as a function of age of first bilingual language exposure (AoE) was examined. Bilingual (varied AoE) and monolingual children (N = 421) were compared in their English language and reading abilities (6-10 years) using phonological awareness, semantic knowledge, and reading tasks. Structural equation modeling was applied to determine how bilingual AoE predicts reading outcomes. Early exposed bilinguals outperformed monolinguals on phonological awareness and word reading. Phonology and semantic (vocabulary) knowledge differentially predicted reading depending on the bilingual experience and AoE. Understanding how bilingual experiences impact phonological awareness and semantic knowledge, and in turn, impact reading outcomes is relevant for our understanding of what language and reading skills are best to focus on, and when, to promote optimal reading success.

  6. Towards a Collaborative Knowledge Discovery System for Enriching Semantic Information about Risks of Geospatial Data

    NASA Astrophysics Data System (ADS)

    Grira, J.; Bédard, Y.; Roche, S.; Devillers, R.

    2013-05-01

    The aim of this research is to design and implement a knowledge discovery system that facilitates, using a web 2.0 collaborative approach, the identification of new risks of geospatial data misuse based on a contributed knowledge repository fed by application domain experts. [Context/Motivation] This research is motivated by the irregularity of risk analysis efforts and the poor semantic of the collected information about risks. In the context of risk analysis during geospatial database design, the knowledge about risks of geospatial data misuse is typically held by domain application experts. The collection and record of that knowledge are usually considered as optional activities. It is usually performed through face-to-face risk assessment meetings and reports. Such techniques end up by restricting the scope of risk analysis to a set of obvious risks usually already identified. Besides, little consideration is devoted to the storage of risk information in an appropriate format for automatic reasoning and new risk information discovery. As a consequence, many foreseeable risky aspects inherent to the data remain overlooked leading to ill-defined specification and faulty decisions. [Principal ideas/results] In this paper, we present a contributed knowledge discovery system that aims at enriching the semantic information about risks of geospatial data misuse in order to identify foreseeable risks. The proposed web-based system relies on a systematic and more active involvement of users in risk analysis. The approach consists of 1) providing an overview of the related work in the domains of risk analysis within the context of geospatial database design, 2) presenting an ontology-based knowledge discovery system that helps experts in risks identification based on an upper-level risk ontology and on a structured representation of the domain-specific knowledge and, 3) presenting the components of the proposed system architecture and how it may be implemented and used

  7. Measuring the ROI on Knowledge Management Systems.

    ERIC Educational Resources Information Center

    Wickhorst, Vickie

    2002-01-01

    Defines knowledge management and corporate portals and provides a model that can be applied to assessing return on investment (ROI) for a knowledge management solution. Highlights include leveraging knowledge in an organization; assessing the value of human capital; and the Intellectual Capital Performance Measurement Model. (LRW)

  8. Knowledge Management and Global Information Dissemination

    ERIC Educational Resources Information Center

    Umunadi, Ejiwoke Kennedy

    2014-01-01

    The paper looked at knowledge management and global information dissemination. Knowledge is a very powerful tool for survival, growth and development. It can be seen as the information, understanding and skills that you gain through education or experience. The paper was addressed under the following sub-headings: Knowledge management knowledge…

  9. Does phonological encoding in speech production always follow the retrieval of semantic knowledge? Electrophysiological evidence for parallel processing.

    PubMed

    Abdel Rahman, Rasha; Sommer, Werner

    2003-05-01

    In this article a new approach to the distinction between serial/contingent and parallel/independent processing in the human cognitive system is applied to semantic knowledge retrieval and phonological encoding of the word form in picture naming. In two-choice go/nogo tasks pictures of objects were manually classified on the basis of semantic and phonological information. An additional manipulation of the duration of the faster and presumably mediating process (semantic retrieval) allowed to derive differential predictions from the two alternative models. These predictions were tested with two event-related brain potentials (ERPs), the lateralized readiness potential (LRP) and the N200. The findings indicate that phonological encoding can proceed in parallel to the retrieval of semantic features. A suggestion is made how to accommodate these findings with models of speech production.

  10. 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.

  11. Generating executable knowledge for evidence-based medicine using natural language and semantic processing.

    PubMed

    Borlawsky, Tara; Friedman, Carol; Lussier, Yves A

    2006-01-01

    With an increase in the prevalence of patients having multiple medical conditions, along with the increasing number of medical information sources, an intelligent approach is required to integrate the answers to physicians' patient-related questions into clinical practice in the shortest, most specific way possible. Cochrane Scientific Reviews are currently considered to be the "gold standard" for evidence-based medicine (EBM), because of their well-defined systematic approach to assessing the available medical information. In order to develop semantic approaches for enabling the reuse of these Reviews, a system for producing executable knowledge was designed using a natural language processing (NLP) system we developed (BioMedLEE), and semantic processing techniques. Though BioMedLEE was not designed for or trained over the Cochrane Reviews, this study shows that disease, therapy and drug concepts can be extracted and correlated with an overall recall of 80.3%, coding precision of 94.1%, and concept-concept relationship precision of 87.3%.

  12. Reciprocal Effects of Self-Regulation, Semantic Knowledge, and Reading Comprehension in Early Elementary School.

    PubMed

    Connor, Carol McDonald; Day, Stephanie L; Phillips, Beth; Sparapani, Nicole; Ingebrand, Sarah W; McLean, Leigh; Barrus, Angela; Kaschak, Michael P

    2016-11-01

    Many assume that cognitive and linguistic processes, such as semantic knowledge (SK) and self-regulation (SR), subserve learned skills like reading. However, complex models of interacting and bootstrapping effects of SK, SR, instruction, and reading hypothesize reciprocal effects. Testing this "lattice" model with children (n = 852) followed from first to second grade (5.9-10.4 years of age) revealed reciprocal effects for reading and SR, and reading and SK, but not SR and SK. More effective literacy instruction reduced reading stability over time. Findings elucidate the synergistic and reciprocal effects of learning to read on other important linguistic, self-regulatory, and cognitive processes; the value of using complex models of development to inform intervention design; and how learned skills may influence development during middle childhood.

  13. Evaluation of Participants' Contributions in Knowledge Creation Based on Semantic Authoring

    ERIC Educational Resources Information Center

    Kamimaeda, Naoki; Izumi, Noriaki; Hasida, Koiti

    2007-01-01

    Purpose: The purpose of this paper is to evaluate participants' contributions to the development of discussion and knowledge creation as organizational knowledge management, and thereby help them better develop the discussion. Design/methodology/approach: To evaluate participants' contributions more accurately, a method which analyzes discussion…

  14. The Use of Latent Semantic Analysis as a Tool for the Quantitative Assessment of Understanding and Knowledge.

    ERIC Educational Resources Information Center

    Shapiro, Amy M.; McNamara, Danielle S.

    2000-01-01

    Discusses latent semantic analysis (LSA), a statistical model for representing word usage in written language, and describes two experiments that were conducted with undergraduates to determine what aspect of knowledge, conceptual or factual, is being reflected in an LSA output from student essays. (Contains 21 references.)u (Author/LRW)

  15. Knowledge information management toolkit and method

    DOEpatents

    Hempstead, Antoinette R.; Brown, Kenneth L.

    2006-08-15

    A system is provided for managing user entry and/or modification of knowledge information into a knowledge base file having an integrator support component and a data source access support component. The system includes processing circuitry, memory, a user interface, and a knowledge base toolkit. The memory communicates with the processing circuitry and is configured to store at least one knowledge base. The user interface communicates with the processing circuitry and is configured for user entry and/or modification of knowledge pieces within a knowledge base. The knowledge base toolkit is configured for converting knowledge in at least one knowledge base from a first knowledge base form into a second knowledge base form. A method is also provided.

  16. Calculating semantic relatedness for biomedical use in a knowledge-poor environment

    PubMed Central

    2014-01-01

    Background Computing semantic relatedness between textual labels representing biological and medical concepts is a crucial task in many automated knowledge extraction and processing applications relevant to the biomedical domain, specifically due to the huge amount of new findings being published each year. Most methods benefit from making use of highly specific resources, thus reducing their usability in many real world scenarios that differ from the original assumptions. In this paper we present a simple resource-efficient method for calculating semantic relatedness in a knowledge-poor environment. The method obtains results comparable to state-of-the-art methods, while being more generic and flexible. The solution being presented here was designed to use only a relatively generic and small document corpus and its statistics, without referring to a previously defined knowledge base, thus it does not assume a 'closed' problem. Results We propose a method in which computation for two input texts is based on the idea of comparing the vocabulary associated with the best-fit documents related to those texts. As keyterm extraction is a costly process, it is done in a preprocessing step on a 'per-document' basis in order to limit the on-line processing. The actual computations are executed in a compact vector space, limited by the most informative extraction results. The method has been evaluated on five direct benchmarks by calculating correlation coefficients w.r.t. average human answers. It also has been used on Gene - Disease and Disease- Disease data pairs to highlight its potential use as a data analysis tool. Apart from comparisons with reported results, some interesting features of the method have been studied, i.e. the relationship between result quality, efficiency and applicable trimming threshold for size reduction. Experimental evaluation shows that the presented method obtains results that are comparable with current state of the art methods, even

  17. Information and Knowledge Management: Dimensions and Approaches

    ERIC Educational Resources Information Center

    Schlögl, Christian

    2005-01-01

    Introduction: Though literature on information and knowledge management is vast, there is much confusion concerning the meaning of these terms. Hence, this article should give some orientation and work out the main aspects of information and knowledge management. Method: An author co-citation analysis, which identified the main dimensions of…

  18. Principles for Designing Pragmatic Knowledge Management Systems

    ERIC Educational Resources Information Center

    Cavaleri, Steven A.

    2004-01-01

    Knowledge management continues to evolve as a discipline, yet even basic features that define a discipline have to be established. Developing a shared understanding of core concepts, such as the meaning of "knowledge", has been elusive in this field. In the absence of reaching a universal definition, surrogates for knowledge are adopted because of…

  19. Knowledge Management: A System Dynamics Perspective

    ERIC Educational Resources Information Center

    Saurabh, Kumar

    2005-01-01

    In the present day market scenario of intense competition, organizations need to know what they know and be able to leverage on its knowledge base to gain competitive advantage. In this knowledge era, organisations can create and sustain competitive advantage through initiation of appropriate knowledge management processes. The organisations that…

  20. Towards a Knowledge Management Model for the Information Management Curricula.

    ERIC Educational Resources Information Center

    Dunn, Dennis; Hackney, Ray

    The growth of interest in all things knowledge management (KM) is exponential. Developments of products and ideas, fueled by a newly designated knowledge community, is happening at such speed that few seem to question the trends or the knowledge management systems finding favor in organizational life. A consideration of what is being presented as…

  1. Adapting Semantic Natural Language Processing Technology to Address Information Overload in Influenza Epidemic Management.

    PubMed

    Keselman, Alla; Rosemblat, Graciela; Kilicoglu, Halil; Fiszman, Marcelo; Jin, Honglan; Shin, Dongwook; Rindflesch, Thomas C

    2010-12-01

    Explosion of disaster health information results in information overload among response professionals. The objective of this project was to determine the feasibility of applying semantic natural language processing (NLP) technology to addressing this overload. The project characterizes concepts and relationships commonly used in disaster health-related documents on influenza pandemics, as the basis for adapting an existing semantic summarizer to the domain. Methods include human review and semantic NLP analysis of a set of relevant documents. This is followed by a pilot-test in which two information specialists use the adapted application for a realistic information seeking task. According to the results, the ontology of influenza epidemics management can be described via a manageable number of semantic relationships that involve concepts from a limited number of semantic types. Test users demonstrate several ways to engage with the application to obtain useful information. This suggests that existing semantic NLP algorithms can be adapted to support information summarization and visualization in influenza epidemics and other disaster health areas. However, additional research is needed in the areas of terminology development (as many relevant relationships and terms are not part of existing standardized vocabularies), NLP, and user interface design.

  2. Proper name anomia with preserved lexical and semantic knowledge after left anterior temporal lesion: a two-way convergence defect.

    PubMed

    Busigny, Thomas; de Boissezon, Xavier; Puel, Michèle; Nespoulous, Jean-Luc; Barbeau, Emmanuel J

    2015-04-01

    This article describes the case of a patient who, following herpes simplex encephalitis (HSE), retained the ability to access rich conceptual semantic information for familiar people whom he was no longer able to name. Moreover, this patient presented the very rare combination of name production and name comprehension deficits for different categories of proper names (persons and acronyms). Indeed, besides his difficulty to retrieve proper names, SL presented a severe deficit in understanding and identifying them. However, he was still able to recognize proper names on familiarity decision, demonstrating that name forms themselves were intact. We interpret SL's deficit as a rare form of two-way lexico-semantic disconnection, in which intact lexical knowledge is disconnected from semantic knowledge and face units. We suggest that this disconnection reflects the role of the left anterior temporal lobe in binding together different types of knowledge and supports the classical convergence-zones framework (e.g., Damasio, 1989) rather than the amodal semantic hub theory (e.g., Patterson, Nestor, & Rogers, 2007).

  3. Thematic knowledge, artifact concepts, and the left posterior temporal lobe: Where action and object semantics converge.

    PubMed

    Kalénine, Solène; Buxbaum, Laurel J

    2016-09-01

    Converging evidence supports the existence of functionally and neuroanatomically distinct taxonomic (similarity-based; e.g., hammer-screwdriver) and thematic (event-based; e.g., hammer-nail) semantic systems. Processing of thematic relations between objects has been shown to selectively recruit the left posterior temporoparietal cortex. Similar posterior regions have also been shown to be critical for knowledge of relationships between actions and manipulable human-made objects (artifacts). Based on the hypothesis that thematic relationships for artifacts rely, at least in part, on action relationships, we assessed the prediction that the same regions of the left posterior temporoparietal cortex would be critical for conceptual processing of artifact-related actions and thematic relations for artifacts. To test this hypothesis, we evaluated processing of taxonomic and thematic relations for artifacts and natural objects as well as artifact action knowledge (gesture recognition) abilities in a large sample of 48 stroke patients with a range of lesion foci in the left hemisphere. Like control participants, patients identified thematic relations faster than taxonomic relations for artifacts, whereas they identified taxonomic relations faster than thematic relations for natural objects. Moreover, response times (RTs) for identifying thematic relations for artifacts selectively predicted performance in gesture recognition. Whole brain Voxel-based Lesion-Symptom Mapping (VLSM) analyses and Region of Interest (ROI) regression analyses further demonstrated that lesions to the left posterior temporal cortex, overlapping with LTO and visual motion area hMT+, were associated both with relatively slower RTs in identifying thematic relations for artifacts and poorer artifact action knowledge in patients. These findings provide novel insights into the functional role of left posterior temporal cortex in thematic knowledge, and suggest that the close association between thematic

  4. A Hybrid Knowledge-Based and Data-Driven Approach to Identifying Semantically Similar Concepts

    PubMed Central

    Pivovarov, Rimma; Elhadad, Noémie

    2012-01-01

    An open research question when leveraging ontological knowledge is when to treat different concepts separately from each other and when to aggregate them. For instance, concepts for the terms "paroxysmal cough" and "nocturnal cough" might be aggregated in a kidney disease study, but should be left separate in a pneumonia study. Determining whether two concepts are similar enough to be aggregated can help build better datasets for data mining purposes and avoid signal dilution. Quantifying the similarity among concepts is a difficult task, however, in part because such similarity is context-dependent. We propose a comprehensive method, which computes a similarity score for a concept pair by combining data-driven and ontology-driven knowledge. We demonstrate our method on concepts from SNOMED-CT and on a corpus of clinical notes of patients with chronic kidney disease. By combining information from usage patterns in clinical notes and from ontological structure, the method can prune out concepts that are simply related from those which are semantically similar. When evaluated against a list of concept pairs annotated for similarity, our method reaches an AUC (area under the curve) of 92%. PMID:22289420

  5. The neural basis of semantic and episodic forms of self-knowledge: insights from functional neuroimaging.

    PubMed

    D'Argembeau, Arnaud; Salmon, Eric

    2012-01-01

    Throughout evolution, hominids have developed greater capacity to think about themselves in abstract and symbolic ways. This process has reached its apex in humans with the construction of a concept of self as a distinct entity with a personal history. This chapter provides a review of recent functional neuroimaging studies that have investigated the neural correlates of such "higher-level" aspects of the human self, focusing in particular on processes that allow individuals to consciously represent and reflect on their own personal attributes (semantic forms of self-knowledge) and experiences (episodic forms of self-knowledge). These studies point to the medial prefrontal cortex (MPFC) as a key neural structure for processing various kinds of self-referential information. We speculate that the MPFC may mediate dynamic processes that appraise and code the self-relatedness or self-relevance of information. This brain region may thus play a key role in creating the mental model of the self that is displayed in our mind at a given moment.

  6. The different frameworks underlying abstract and concrete knowledge: evidence from a bilingual patient with a semantic refractory access dysphasia.

    PubMed

    Crutch, Sebastian J; Ridha, Basil H; Warrington, Elizabeth K

    2006-06-01

    We report the case of a bilingual patient (IRQ) who acquired a semantic refractory access dysphasia following a middle cerebral artery stroke. In a series of spoken word-written word matching tasks, the degree of semantic similarity between target and distractor items was found to affect the accuracy of IRQ's identification of concrete but not abstract words. By contrast, the degree of semantic association between target and distractor items was found to affect response accuracy when identifying abstract but not concrete words. These results provide further corroboration for the notion that abstract concepts are supported by an associative representational network whereas concrete concepts are supported by a categorical representational framework. We also demonstrate an equivalent refractory deficit of comprehension in both English and Arabic. In addition, we provide the first documented evidence of a category-specific refractory deficit of knowledge for abstract words.

  7. Model and technology of lingware support in tasks of the nuclear knowledge management system

    NASA Astrophysics Data System (ADS)

    Gavrilkina, A. S.; Golitsyna, O. L.; Fedorova, V. A.

    2017-01-01

    Model and technology of lingware application in the tasks of the knowledge management are presented. The used model of thesauri paradigmatic relationships allows measuring semantic similarity of documents. An algorithm for compiling a semantic intersection of conceptual patterns based on the coinciding maximum principle is described. The semantic neighborhood construction in accordance with the value of semantic similarity measure and descriptors ranking allows using in the expansion of the search query the descriptors, whose semantics are closer due to the links, which reflect the common semantics of genus-species and associative relationships. An algorithm for thesauri used in automatic classification tasks is considered. The technology of conceptual hierarchical dynamic formation of structures is proposed. The proposed method of constructing a terminological network structure with hierarchical relationships for the collection of texts of a particular subject area is based on the sequential formation of lexicographical neighborhoods of “nuclear” terms, which are used as high-frequency nouns. To build up a conceptual structure a documental databases are used.

  8. The knowledge workstation: an electronic environment for knowledge management.

    PubMed Central

    Lucier, R E; Matheson, N W; Butter, K A; Reynolds, R E

    1988-01-01

    This paper focuses on the creation of the IAIMS workstation in the context of the outcomes of a year-long IAIMS strategic planning process at the Johns Hopkins Medical Institutions (JHMI). These outcomes include a long-term institutional vision for a functional knowledge management environment, a JHMI IAIMS model, a strategic plan, and two model prototypes. The functional requirements and specific implementation strategies for the IAIMS workstation, the prototype for managing the knowledge base of the published biomedical literature, are discussed in detail. PMID:3416102

  9. SemanticOrganizer Brings Teams Together

    NASA Technical Reports Server (NTRS)

    Laufenberg, Lawrence

    2003-01-01

    SemanticOrganizer enables researchers in different locations to share, search for, and integrate data. Its customizable semantic links offer fast access to interrelated information. This knowledge management and information integration tool also supports real-time instrument data collection and collaborative image annotation.

  10. Interpretation of Logical Words in Mandarin-Speaking Children with Autism Spectrum Disorders: Uncovering Knowledge of Semantics and Pragmatics.

    PubMed

    Su, Yi Esther; Su, Lin-Yan

    2015-07-01

    This study investigated the interpretation of the logical words 'some' and 'every…or…' in 4-15-year-old high-functioning Mandarin-speaking children with autism spectrum disorders (ASD). Children with ASD performed similarly to typical controls in demonstrating semantic knowledge of simple sentences with 'some', and they had delayed knowledge of the complex sentences with 'every…or…'. Interestingly, the children with ASD had pragmatic knowledge of the scalar implicatures of these logical words, parallel to those of the typical controls. Taken together, the interpretation of logical words may be a relative strength in children with ASD. It is possible that some aspects of semantics and pragmatics may be selectively spared in ASD, due to the contribution the language faculty makes to language acquisition in the ASD population.

  11. Critical Management in Knowledge Organizations

    ERIC Educational Resources Information Center

    Macpherson, Reynold

    2008-01-01

    Purpose: The purpose of this paper is to invite educational managers and management educators to reflect critically on practice. Design/methodology/approach: Using the point of Socrates' death, the paper suggests ways of reflecting on actions using ethically-critical, socially-critical, environmentally-critical, politically-critical and…

  12. Computational Chemistry Data Management Platform Based on the Semantic Web.

    PubMed

    Wang, Bing; Dobosh, Paul A; Chalk, Stuart; Sopek, Mirek; Ostlund, Neil S

    2017-01-12

    This paper presents a formal data publishing platform for computational chemistry using semantic web technologies. This platform encapsulates computational chemistry data from a variety of packages in an Extensible Markup Language (XML) file called CSX (Common Standard for eXchange). On the basis of a Gainesville Core (GC) ontology for computational chemistry, a CSX XML file is converted into the JavaScript Object Notation for Linked Data (JSON-LD) format using an XML Stylesheet Language Transformation (XSLT) file. Ultimately the JSON-LD file is converted to subject-predicate-object triples in a Turtle (TTL) file and published on the web portal. By leveraging semantic web technologies, we are able to place computational chemistry data onto web portals as a component of a Giant Global Graph (GGG) such that computer agents, as well as individual chemists, can access the data.

  13. Knowledge Management and the Academy

    ERIC Educational Resources Information Center

    Cain, Timothy J.; Branin, Joseph J.; Sherman, W. Michael

    2008-01-01

    Universities and colleges generate extraordinary quantities of knowledge and innovation, but in many ways the academy struggles to keep pace with the digital revolution. Growing pressures are reshaping how universities must do business--students expecting enhanced access and support, administrators eager to make data-driven strategic decisions,…

  14. Librarians' Attitudes toward Knowledge Management

    ERIC Educational Resources Information Center

    Aharony, Noa

    2011-01-01

    The purpose of this research is to develop an understanding of the factors that support or constrain the individual's sharing knowledge in the organization. The current study seeks to explore whether personality (self-efficacy and self-esteem) and situational (cognitive appraisal: threat versus challenge) characteristics influence participants'…

  15. Modelling expertise at different levels of granularity using semantic similarity measures in the context of collaborative knowledge-curation platforms

    PubMed Central

    Groza, Tudor; Tudorache, Tania; Hunter, Jane

    2015-01-01

    Collaboration platforms provide a dynamic environment where the content is subject to ongoing evolution through expert contributions. The knowledge embedded in such platforms is not static as it evolves through incremental refinements – or micro-contributions. Such refinements provide vast resources of tacit knowledge and experience. In our previous work, we proposed and evaluated a Semantic and Time-dependent Expertise Profiling (STEP) approach for capturing expertise from micro-contributions. In this paper we extend our investigation to structured micro-contributions that emerge from an ontology engineering environment, such as the one built for developing the International Classification of Diseases (ICD) revision 11. We take advantage of the semantically related nature of these structured micro-contributions to showcase two major aspects: (i) a novel semantic similarity metric, in addition to an approach for creating bottom-up baseline expertise profiles using expertise centroids; and (ii) the application of STEP in this new environment combined with the use of the same semantic similarity measure to both compare STEP against baseline profiles, as well as to investigate the coverage of these baseline profiles by STEP. PMID:28077914

  16. Modelling expertise at different levels of granularity using semantic similarity measures in the context of collaborative knowledge-curation platforms.

    PubMed

    Ziaimatin, Hasti; Groza, Tudor; Tudorache, Tania; Hunter, Jane

    2016-12-01

    Collaboration platforms provide a dynamic environment where the content is subject to ongoing evolution through expert contributions. The knowledge embedded in such platforms is not static as it evolves through incremental refinements - or micro-contributions. Such refinements provide vast resources of tacit knowledge and experience. In our previous work, we proposed and evaluated a Semantic and Time-dependent Expertise Profiling (STEP) approach for capturing expertise from micro-contributions. In this paper we extend our investigation to structured micro-contributions that emerge from an ontology engineering environment, such as the one built for developing the International Classification of Diseases (ICD) revision 11. We take advantage of the semantically related nature of these structured micro-contributions to showcase two major aspects: (i) a novel semantic similarity metric, in addition to an approach for creating bottom-up baseline expertise profiles using expertise centroids; and (ii) the application of STEP in this new environment combined with the use of the same semantic similarity measure to both compare STEP against baseline profiles, as well as to investigate the coverage of these baseline profiles by STEP.

  17. Action semantics: A unifying conceptual framework for the selective use of multimodal and modality-specific object knowledge.

    PubMed

    van Elk, Michiel; van Schie, Hein; Bekkering, Harold

    2014-06-01

    Our capacity to use tools and objects is often considered one of the hallmarks of the human species. Many objects greatly extend our bodily capabilities to act in the physical world, such as when using a hammer or a saw. In addition, humans have the remarkable capability to use objects in a flexible fashion and to combine multiple objects in complex actions. We prepare coffee, cook dinner and drive our car. In this review we propose that humans have developed declarative and procedural knowledge, i.e. action semantics that enables us to use objects in a meaningful way. A state-of-the-art review of research on object use is provided, involving behavioral, developmental, neuropsychological and neuroimaging studies. We show that research in each of these domains is characterized by similar discussions regarding (1) the role of object affordances, (2) the relation between goals and means in object use and (3) the functional and neural organization of action semantics. We propose a novel conceptual framework of action semantics to address these issues and to integrate the previous findings. We argue that action semantics entails both multimodal object representations and modality-specific sub-systems, involving manipulation knowledge, functional knowledge and representations of the sensory and proprioceptive consequences of object use. Furthermore, we argue that action semantics are hierarchically organized and selectively activated and used depending on the action intention of the actor and the current task context. Our framework presents an integrative account of multiple findings and perspectives on object use that may guide future studies in this interdisciplinary domain.

  18. Action semantics: A unifying conceptual framework for the selective use of multimodal and modality-specific object knowledge

    NASA Astrophysics Data System (ADS)

    van Elk, Michiel; van Schie, Hein; Bekkering, Harold

    2014-06-01

    Our capacity to use tools and objects is often considered one of the hallmarks of the human species. Many objects greatly extend our bodily capabilities to act in the physical world, such as when using a hammer or a saw. In addition, humans have the remarkable capability to use objects in a flexible fashion and to combine multiple objects in complex actions. We prepare coffee, cook dinner and drive our car. In this review we propose that humans have developed declarative and procedural knowledge, i.e. action semantics that enables us to use objects in a meaningful way. A state-of-the-art review of research on object use is provided, involving behavioral, developmental, neuropsychological and neuroimaging studies. We show that research in each of these domains is characterized by similar discussions regarding (1) the role of object affordances, (2) the relation between goals and means in object use and (3) the functional and neural organization of action semantics. We propose a novel conceptual framework of action semantics to address these issues and to integrate the previous findings. We argue that action semantics entails both multimodal object representations and modality-specific sub-systems, involving manipulation knowledge, functional knowledge and representations of the sensory and proprioceptive consequences of object use. Furthermore, we argue that action semantics are hierarchically organized and selectively activated and used depending on the action intention of the actor and the current task context. Our framework presents an integrative account of multiple findings and perspectives on object use that may guide future studies in this interdisciplinary domain.

  19. Explaining semantic short-term memory deficits: Evidence for the critical role of semantic control

    PubMed Central

    Hoffman, Paul; Jefferies, Elizabeth; Lambon Ralph, Matthew A.

    2011-01-01

    Patients with apparently selective short-term memory (STM) deficits for semantic information have played an important role in developing multi-store theories of STM and challenge the idea that verbal STM is supported by maintaining activation in the language system. We propose that semantic STM deficits are not as selective as previously thought and can occur as a result of mild disruption to semantic control processes, i.e., mechanisms that bias semantic processing towards task-relevant aspects of knowledge and away from irrelevant information. We tested three semantic STM patients with tasks that tapped four aspects of semantic control: (i) resolving ambiguity between word meanings, (ii) sensitivity to cues, (iii) ignoring irrelevant information and (iv) detecting weak semantic associations. All were impaired in conditions requiring more semantic control, irrespective of the STM demands of the task, suggesting a mild, but task-general, deficit in regulating semantic knowledge. This mild deficit has a disproportionate effect on STM tasks because they have high intrinsic control demands: in STM tasks, control is required to keep information active when it is no longer available in the environment and to manage competition between items held in memory simultaneously. By re-interpreting the core deficit in semantic STM patients in this way, we are able to explain their apparently selective impairment without the need for a specialised STM store. Instead, we argue that semantic STM patients occupy the mildest end of spectrum of semantic control disorders. PMID:21195105

  20. The Benefits of Sensorimotor Knowledge: Body-Object Interaction Facilitates Semantic Processing

    ERIC Educational Resources Information Center

    Siakaluk, Paul D.; Pexman, Penny M.; Sears, Christopher R.; Wilson, Kim; Locheed, Keri; Owen, William J.

    2008-01-01

    This article examined the effects of body-object interaction (BOI) on semantic processing. BOI measures perceptions of the ease with which a human body can physically interact with a word's referent. In Experiment 1, BOI effects were examined in 2 semantic categorization tasks (SCT) in which participants decided if words are easily imageable.…

  1. Short-term Action Intentions Overrule Long-Term Semantic Knowledge

    ERIC Educational Resources Information Center

    van Elk, M.; van Schie, H.T.; Bekkering, H.

    2009-01-01

    In the present study, we investigated whether the preparation of an unusual action with an object (e.g. bringing a cup towards the eye) could selectively overrule long-term semantic representations. In the first experiment it was found that unusual action intentions activated short-term semantic goal representations, rather than long-term…

  2. Semantic knowledge of famous people in mild cognitive impairment and progression to Alzheimer's disease.

    PubMed

    Estévez-González, Armando; García-Sánchez, Carmen; Boltes, Anunciación; Otermín, Pilar; Pascual-Sedano, Berta; Gironell, Alex; Kulisevsky, Jaime

    2004-01-01

    Patients with dementia of Alzheimer's type (DAT) show severe impairment in recognizing famous people. The aim of the current study was to investigate if this well-known memory impairment of famous faces is already present in the preclinical phase of DAT and if the famous faces test can help to differentiate patients with mild cognitive impairment (MCI) who progress to dementia and those who do not. We compared baseline performance in a task of famous face identification in a sample of 116 patients with subjective memory complaints classified in three groups: 17 participants with no evidence of cognitive impairment; 26 patients with MCI who had not developed dementia, and 27 patients with MCI who had developed probable DAT 2 years later. The remaining patients were excluded because they abandoned or did not meet the applied restrictive criteria for DAT, MCI or control. MCI patients who were diagnosed 2 years later with DAT performed significantly worse in the preclinical phase than MCI and control participants (p < 0.004). Patients with MCI but not DAT obtained intermediate results between control subjects and MCI patients who develop Alzheimer's disease. A neuropsychological task of semantic knowledge of famous people may be useful in the early diagnosis of Alzheimer's disease.

  3. Selective Impairment of Living Things and Musical Instruments on a Verbal "Semantic Knowledge Questionnaire" in a Case of Apperceptive Visual Agnosia

    ERIC Educational Resources Information Center

    Masullo, Carlo; Piccininni, Chiara; Quaranta, Davide; Vita, Maria Gabriella; Gaudino, Simona; Gainotti, Guido

    2012-01-01

    Semantic memory was investigated in a patient (MR) affected by a severe apperceptive visual agnosia, due to an ischemic cerebral lesion, bilaterally affecting the infero-mesial parts of the temporo-occipital cortices. The study was made by means of a Semantic Knowledge Questionnaire (Laiacona, Barbarotto, Trivelli, & Capitani, 1993), which takes…

  4. Safety and Mission Assurance Knowledge Management Retention

    NASA Technical Reports Server (NTRS)

    Johnson, Teresa A.

    2006-01-01

    This viewgraph presentation reviews the issues surrounding the management of knowledge in regards to safety and mission assurance. The JSC workers who were hired in the 1960's are slated to retire in the next two to three years. The experiences and knowledge of these NASA workers must be identified, and disseminated. This paper reviews some of the strategies that the S&MA is developing to capture that valuable institutional knowledge.

  5. MSFC Propulsion Systems Department Knowledge Management Project

    NASA Technical Reports Server (NTRS)

    Caraccioli, Paul A.

    2007-01-01

    This slide presentation reviews the Knowledge Management (KM) project of the Propulsion Systems Department at Marshall Space Flight Center. KM is needed to support knowledge capture, preservation and to support an information sharing culture. The presentation includes the strategic plan for the KM initiative, the system requirements, the technology description, the User Interface and custom features, and a search demonstration.

  6. A Tool for Managing Software Architecture Knowledge

    SciTech Connect

    Babar, Muhammad A.; Gorton, Ian

    2007-08-01

    This paper describes a tool for managing architectural knowledge and rationale. The tool has been developed to support a framework for capturing and using architectural knowledge to improve the architecture process. This paper describes the main architectural components and features of the tool. The paper also provides examples of using the tool for supporting wellknown architecture design and analysis methods.

  7. Confirming the Stankosky Knowledge Management Framework

    ERIC Educational Resources Information Center

    Ternes, Carl D., Jr.

    2011-01-01

    As a managerial construct, knowledge management (KM) optimizes organizational knowledge assets to achieve sustainable business advantages by connecting people with the intellectual resources needed to operate more effectively. Yet KM may have its greatest impact when used with repeatable, systems engineering-based "frameworks." As such, this study…

  8. Applying Knowledge Management in Teacher Evaluation Systems

    ERIC Educational Resources Information Center

    Essandoh, Albert

    2013-01-01

    Teacher evaluations are underused in public schools, resulting in the loss of knowledge critical to professional development. Knowledge management (KM) theory offers approaches that can lead to improvements in the effectiveness of evaluations and teacher performance. This multiple case study of 9 campuses in an exemplary school district…

  9. Determining the Business Impact of Knowledge Management

    ERIC Educational Resources Information Center

    Aaron, Bruce C.

    2009-01-01

    This case study describes an evaluation of business impact and return on investment (ROI) for the Knowledge Exchange, a knowledge management (KM) system within Accenture. The evaluation used a continuous measurement design to allow impact and ROI to be tracked across time and groups. The results demonstrated a significant positive impact on…

  10. Knowledge Management in Libraries in the 21st Century.

    ERIC Educational Resources Information Center

    Shanhong, Tang

    This paper begins with a section that describes characteristics of knowledge management in libraries, including: human resource management is the core of knowledge management in libraries; the objective of knowledge management in libraries is to promote knowledge innovation; and information technology is a tool for knowledge management in…

  11. Mental representation of normal subjects about the sources of knowledge in different semantic categories and unique entities.

    PubMed

    Gainotti, Guido; Ciaraffa, Francesca; Silveri, Maria Caterina; Marra, Camillo

    2009-11-01

    According to the "sensory-motor model of semantic knowledge," different categories of knowledge differ for the weight that different "sources of knowledge" have in their representation. Our study aimed to evaluate this model, checking if subjective evaluations given by normal subjects confirm the different weight that various sources of knowledge have in the representation of different biological and artifact categories and of unique entities, such as famous people or monuments. Results showed that the visual properties are considered as the main source of knowledge for all the living and nonliving categories (as well as for unique entities), but that the clustering of these "sources of knowledge" is different for biological and artifacts categories. Visual data are, indeed, mainly associated with other perceptual (auditory, olfactory, gustatory, and tactual) attributes in the mental representation of living beings and unique entities, whereas they are associated with action-related properties and tactile information in the case of artifacts.

  12. Applying Knowledge Management to an Organization's Transformation

    NASA Technical Reports Server (NTRS)

    Potter, Shannon; Gill, Tracy; Fritsche, Ralph

    2008-01-01

    Although workers in the information age have more information at their fingertips than ever before, the ability to effectively capture and reuse actual knowledge is still a surmounting challenge for many organizations. As high tech organizations transform from providing complex products and services in an established domain to providing them in new domains, knowledge remains an increasingly valuable commodity. This paper explores the supply and demand elements of the "knowledge market" within the International Space Station and Spacecraft Processing Directorate (ISSSPD) of NASA's Kennedy Space Center (KSC). It examines how knowledge supply and knowledge demand determine the success of an organization's knowledge management (KM) activities, and how the elements of a KM infrastructure (tools, culture, and training), can be used to create and sustain knowledge supply and demand

  13. Psycho-Semantics of Management Constructs: Expression of Democracy among Schoolteachers

    ERIC Educational Resources Information Center

    Saparnis, Gintaras

    2006-01-01

    Purpose: The purpose of this research was to disclose the psycho-semantics of the opinions held by school educators in Lithuania on the expression of democracy in education management. Methodology: A non-standardized questionnaire asked teachers the open-ended question: "Are there any manifestations of democracy in your school? If yes (or…

  14. Corporate Learning: A Knowledge Management Perspective.

    ERIC Educational Resources Information Center

    Crocetti, Clara

    2001-01-01

    Discusses the relationship between learning and knowledge management in corporate training which forms the framework for the development of an effective learning management system (LMS). Highlights include a theoretical analysis; examples of how training issues are connected to other processes; corporate universities; and the functionalities that…

  15. Knowledge Management: Changing Cultures, Changing Attitudes.

    ERIC Educational Resources Information Center

    Neidorf, Robin

    2002-01-01

    Discussion of knowledge management focuses on a case study of an organizational research department that began implementing information management initiatives. Highlights include the role of the department, including organizing and disseminating different types of information; identifying stakeholders; upgrading skills; communications to all…

  16. The Management of the Knowledge Revolution.

    ERIC Educational Resources Information Center

    Athanassiades, John C.

    This essay on the management of information presents areas of agreement and disagreement about the "knowledge revolution", its general effect on the world population, and its particular effect on libraries and other information systems, as well as on those who are charged with its management. The myth of Adam and Eve is used to symbolize the…

  17. Turning information into knowledge for rangeland management

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The kind of knowledge system that will be capable of meeting the needs of rangeland managers will evolve as scientists, technology specialists, managers, and biologists find ways to integrate the ever expanding array of information systems and tools to meet their needs. The tools and techniques high...

  18. Event-related potentials to event-related words: grammatical class and semantic attributes in the representation of knowledge.

    PubMed

    Barber, Horacio A; Kousta, Stavroula-Thaleia; Otten, Leun J; Vigliocco, Gabriella

    2010-05-21

    A number of recent studies have provided contradictory evidence on the question of whether grammatical class plays a role in the neural representation of lexical knowledge. Most of the previous studies comparing the processing of nouns and verbs, however, confounded word meaning and grammatical class by comparing verbs referring to actions with nouns referring to objects. Here, we recorded electrical brain activity from native Italian speakers reading single words all referring to events (e.g., corsa [the run]; correre [to run]), thus avoiding confounding nouns and verbs with objects and actions. We manipulated grammatical class (noun versus verb) as well as semantic attributes (motor versus sensory events). Activity between 300 and 450ms was more negative for nouns than verbs, and for sensory than motor words, over posterior scalp sites. These grammatical class and semantic effects were not dissociable in terms of latency, duration, or scalp distribution. In a later time window (450-110ms) and at frontal regions, grammatical class and semantic effects interacted; motor verbs were more positive than the other three word categories. We suggest that the lack of a temporal and topographical dissociation between grammatical class and semantic effects in the time range of the N400 component is compatible with an account in which both effects reflect the same underlying process related to meaning retrieval, and we link the later effect with working memory operations associated to the experimental task.

  19. A Design Thinking Approach to Teaching Knowledge Management

    ERIC Educational Resources Information Center

    Wang, Shouhong; Wang, Hai

    2008-01-01

    Pedagogies for knowledge management courses are still undeveloped. This Teaching Tip introduces a design thinking approach to teaching knowledge management. An induction model used to guide students' real-life projects for knowledge management is presented. (Contains 1 figure.)

  20. Risk Management In Perspective Of Knowledge Management A Brief Survey

    NASA Astrophysics Data System (ADS)

    Rehman, Zobia; Kifor, Claudiu V.

    2015-09-01

    This article explains the application of knowledge management for project risk management in industry. Combination of knowledge management and risk management is becoming a dire need for industries nowadays, because it has become necessary to make information reach timely to its destined users to achieve the desired goals. Quick decisions are needed throughout a project life cycle to mitigate or avoid a risk, but they are only possible when knowledge about it is in hand and can be inferred for fruitful decisions. Quality engineers make huge effort in analyzing and mitigating the risk and prepare various documents about different risk management stages. But this knowledge resides in documents or underutilized databases without any relation to each other that makes it useless for complex decision making. This article shall explain how knowledge management activities are helpful in risk management and the advantages of their fusion. It will also present a conceptual architecture of an Information Technology based solution for risk management and knowledge management combination.

  1. Knowledge management model for teleconsulting in telemedicine.

    PubMed

    Pico, Lilia Edith Aparicio; Cuenca, Orlando Rodriguez; Alvarez, Daniel José Salas; Salgado, Piere Augusto Peña

    2008-01-01

    The present article shows a study about requirements for teleconsulting in a telemedicine solution in order to create a knowledge management system. Several concepts have been found related to the term teleconsulting in telemedicine which will serve to clear up their corresponding applications, potentialities, and scope. Afterwards, different theories about the art state in knowledge management have been considered by exploring methodologies and architectures to establish the trends of knowledge management and the possibilities of using them in teleconsulting. Furthermore, local and international experiences have been examined to assess knowledge management systems focused on telemedicine. The objective of this study is to obtain a model for developing teleconsulting systems in Colombia because we have many health-information management systems but they don't offer telemedicine services for remote areas. In Colombia there are many people in rural areas with different necessities and they don't have medicine services, teleconsulting will be a good solution to this problem. Lastly, a model of a knowledge system is proposed for teleconsulting in telemedicine. The model has philosophical principles and architecture that shows the fundamental layers for its development.

  2. A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations.

    PubMed

    Kurtz, Camille; Beaulieu, Christopher F; Napel, Sandy; Rubin, Daniel L

    2014-06-01

    Computer-assisted image retrieval applications could assist radiologist interpretations by identifying similar images in large archives as a means to providing decision support. However, the semantic gap between low-level image features and their high level semantics may impair the system performances. Indeed, it can be challenging to comprehensively characterize the images using low-level imaging features to fully capture the visual appearance of diseases on images, and recently the use of semantic terms has been advocated to provide semantic descriptions of the visual contents of images. However, most of the existing image retrieval strategies do not consider the intrinsic properties of these terms during the comparison of the images beyond treating them as simple binary (presence/absence) features. We propose a new framework that includes semantic features in images and that enables retrieval of similar images in large databases based on their semantic relations. It is based on two main steps: (1) annotation of the images with semantic terms extracted from an ontology, and (2) evaluation of the similarity of image pairs by computing the similarity between the terms using the Hierarchical Semantic-Based Distance (HSBD) coupled to an ontological measure. The combination of these two steps provides a means of capturing the semantic correlations among the terms used to characterize the images that can be considered as a potential solution to deal with the semantic gap problem. We validate this approach in the context of the retrieval and the classification of 2D regions of interest (ROIs) extracted from computed tomographic (CT) images of the liver. Under this framework, retrieval accuracy of more than 0.96 was obtained on a 30-images dataset using the Normalized Discounted Cumulative Gain (NDCG) index that is a standard technique used to measure the effectiveness of information retrieval algorithms when a separate reference standard is available. Classification

  3. Data Mining and Knowledge Management: A System Analysis for Establishing a Tiered Knowledge Management Model.

    ERIC Educational Resources Information Center

    Luan, Jing; Willett, Terrence

    This paper discusses data mining--an end-to-end (ETE) data analysis tool that is used by researchers in higher education. It also relates data mining and other software programs to a brand new concept called "Knowledge Management." The paper culminates in the Tier Knowledge Management Model (TKMM), which seeks to provide a stable…

  4. Managing Knowledge Performance: Testing the Components of a Knowledge Management System on Organizational Performance

    ERIC Educational Resources Information Center

    Cho, Taejun; Korte, Russell

    2014-01-01

    The main purpose of the current study is to validate the framework of knowledge management (KM) capabilities created by Gold ("Towards a theory of organizational knowledge management capabilities." Doctoral dissertation, University of North Carolina, Chapel Hill) 2001) in a study of South Korean companies. However, the original framework…

  5. [Creation and management of organizational knowledge].

    PubMed

    Shinyashiki, Gilberto Tadeu; Trevizan, Maria Auxiliadora; Mendes, Isabel Amélia

    2003-01-01

    With a view to creating and establishing a sustainable position of competitive advantage, the best organizations are increasingly investing in the application of concepts such as learning, knowledge and competency. The organization's creation or acquisition of knowledge about its actions represents an intangible resource that is capable of conferring a competitive advantage upon them. This knowledge derives from interactions developed in learning processes that occur in the organizational environment. The more specific characteristics this knowledge demonstrates in relation to the organization, the more it will become the foundation of its core competencies and, consequently, an important strategic asset. This article emphasizes nurses' role in the process of knowledge management, placing them in the intersection between horizontal and vertical information levels as well as in the creation of a sustainable competitive advantage. Authors believe that this contribution may represent an opportunity for a reflection about its implications for the scenarious of health and nursing practices.

  6. Variation in individuals' semantic networks for common knowledge is associated with false memory.

    PubMed

    Stevens-Adams, Susan M; Goldsmith, Timothy E; Butler, Karin M

    2012-01-01

    Three experiments assessed the relationships between false memories of words and their degree of connectedness within individual semantic networks. In the first two experiments, participants studied associated word lists (e.g., hot, winter, ice), completed a recognition test that included related nonstudied words (e.g., cold, snow), and then rated the semantic relatedness of all word pairs including studied and nonstudied words. In the third experiment, the task order was reversed; participants completed pairwise ratings and then, two weeks later, completed the false memory task. The relatedness ratings were analysed using the Pathfinder scaling algorithm. In all experiments, items that an individual falsely recognized had higher semantic Pathfinder node densities than those items correctly rejected.

  7. A Semantic Approach to Automate Service Management in the Cloud

    DTIC Science & Technology

    2011-06-01

    Information Technology Infrastructure Library ( ITIL ) is a set of concepts and policies for managing IT infrastructure, development and operations...that has wide acceptance in the industry. The latest version of ITIL lists policies for managing IT services [7] that cover aspects of service...Foundations of IT service management based on ITIL V3 , Van Haten Publishing, 2008 [8] J. Kopecky, T. Vitvar, C. Bournez and J. Farrell, SAWSDL

  8. Knowledge Management, User Education, and Librarianship.

    ERIC Educational Resources Information Center

    Koenig, Michael E. D.

    This paper discusses the potential role of librarians in user education and training in the context of knowledge management (KM) initiatives. The paper first summarizes the results of a recent study of KM systems that found a high failure and disappointment rate, with more than half of the failures attributable to inadequate user training and…

  9. Knowledge Management Initiatives at a Small University

    ERIC Educational Resources Information Center

    Gill, Avninder

    2009-01-01

    Purpose: The purpose of this paper is to address the knowledge management (KM) challenges faced by the administration of a small university which does not have a mature research culture. Design/methodology/approach: The paper follows both technocratic as well as ecological approaches to develop a sustainable KM. Strengths, weaknesses,…

  10. Bringing Knowledge Management into an Engineering Curriculum

    ERIC Educational Resources Information Center

    Winberg, S. L.; Schach, S. R.; Inggs, M. R.

    2007-01-01

    The use of effective knowledge management is becoming an essential part of technical development projects in order to enable developers to handle the growing complexity of these projects. In this article we discuss an innovative approach to address this concern from the perspective of an undergraduate engineering curriculum. Instead of adding…

  11. Overcoming Learning Barriers through Knowledge Management

    ERIC Educational Resources Information Center

    Dror, Itiel E.; Makany, Tamas; Kemp, Jonathan

    2011-01-01

    The ability to learn highly depends on how knowledge is managed. Specifically, different techniques for note-taking utilize different cognitive processes and strategies. In this paper, we compared dyslexic and control participants when using linear and non-linear note-taking. All our participants were professionals working in the banking and…

  12. Knowledge management performance methodology regarding manufacturing organizations

    NASA Astrophysics Data System (ADS)

    Istrate, C.; Herghiligiu, I. V.

    2016-08-01

    The current business situation is extremely complicated. Business must adapt to the changes in order (a) to survive on the increasingly dynamic markets, (b) to meet customers’ new request for complex, customized and innovative products. In modern manufacturing organizations it can be seen a substantial improvement regarding the management of knowledge. This occurs due to the fact that organizations realized that knowledge and an efficient management of knowledge generates the highest value. Even it could be said that the manufacturing organizations were and are the biggest beneficiary of KM science. Knowledge management performance (KMP) evaluation in manufacturing organizations can be considered as extremely important because without measuring it, they are unable to properly assess (a) what goals, targets and activities must have continuity, (b) what must be improved and (c) what must be completed. Therefore a proper KM will generate multiple competitive advantages for organizations. This paper presents a developed methodological framework regarding the KMP importance regarding manufacturing organizations. This methodological framework was developed using as research methods: bibliographical research and a panel of specialists. The purpose of this paper is to improve the evaluation process of KMP and to provide a viable tool for manufacturing organizations managers.

  13. Technical Communication, Knowledge Management, and XML.

    ERIC Educational Resources Information Center

    Applen, J. D.

    2002-01-01

    Describes how technical communicators can become involved in knowledge management. Examines how technical communicators can teach organizations to design, access, and contribute to databases; alert them to new information; and facilitate trust and sharing. Concludes that successful technical communicators would do well to establish a culture that…

  14. From Management to Leadership: Semantic or Meaningful Change?

    ERIC Educational Resources Information Center

    Bush, Tony

    2008-01-01

    Educational management was still a relatively new field of study and practice in the UK at the time of the Education Reform Act (ERA) 1988. The field focused on "management" and not leadership. This emphasis very much reflected the business world and its use in education illustrated the "policy borrowing" characteristic of an…

  15. Preserved Musical Semantic Memory in Semantic Dementia

    PubMed Central

    Weinstein, Jessica; Koenig, Phyllis; Gunawardena, Delani; McMillan, Corey; Bonner, Michael; Grossman, Murray

    2012-01-01

    Objective To understand the scope of semantic impairment in semantic dementia. Design Case study. Setting Academic medical center. Patient A man with semantic dementia, as demonstrated by clinical, neuropsychological, and imaging studies. Main Outcome Measures Music performance and magnetic resonance imaging results. Results Despite profoundly impaired semantic memory for words and objects due to left temporal lobe atrophy, this semiprofessional musician was creative and expressive in demonstrating preserved musical knowledge. Conclusion Long-term representations of words and objects in semantic memory may be dissociated from meaningful knowledge in other domains, such as music. PMID:21320991

  16. Knowledge management in the engineering design environment

    NASA Technical Reports Server (NTRS)

    Briggs, Hugh C.

    2006-01-01

    The Aerospace and Defense industry is experiencing an increasing loss of knowledge through workforce reductions associated with business consolidation and retirement of senior personnel. Significant effort is being placed on process definition as part of ISO certification and, more recently, CMMI certification. The process knowledge in these efforts represents the simplest of engineering knowledge and many organizations are trying to get senior engineers to write more significant guidelines, best practices and design manuals. A new generation of design software, known as Product Lifecycle Management systems, has many mechanisms for capturing and deploying a wider variety of engineering knowledge than simple process definitions. These hold the promise of significant improvements through reuse of prior designs, codification of practices in workflows, and placement of detailed how-tos at the point of application.

  17. Effects of Verb Semantics and Proficiency in Second Language Use of Constructional Knowledge

    ERIC Educational Resources Information Center

    Kim, Hyunwoo; Rah, Yangon

    2016-01-01

    This study investigates the influence of the semantic heaviness of verbs (i.e., heavy or light verbs) and language proficiency on second language (L2) learners' use of constructional information in a sentence-sorting task and a corpus analysis. Previous studies employing a sentence-sorting task demonstrated that advanced L2 learners sorted English…

  18. Action Semantic Knowledge about Objects Is Supported by Functional Motor Activation

    ERIC Educational Resources Information Center

    van Elk, Michiel; van Schie, Hein T.; Bekkering, Harold

    2009-01-01

    The present study assessed the functional organization of action semantics by asking subjects to categorize pictures of an actor holding objects with a correct or incorrect grip at either a correct or incorrect goal location. Overall, reaction times were slower if the object was presented with an inappropriate posture, and this effect was stronger…

  19. Paced Reading in Semantic Dementia: Word Knowledge Contributes to Phoneme Binding in Rapid Speech Production

    ERIC Educational Resources Information Center

    Jefferies, Elizabeth; Grogan, John; Mapelli, Cristina; Isella, Valeria

    2012-01-01

    Patients with semantic dementia (SD) show deficits in phoneme binding in immediate serial recall: when attempting to reproduce a sequence of words that they no longer fully understand, they show frequent migrations of phonemes between items (e.g., cap, frog recalled as "frap, cog"). This suggests that verbal short-term memory emerges directly from…

  20. Hospital information management system: an evolutionary knowledge management perspective.

    PubMed

    Wadhwa, S; Saxena, Avneet; Wadhwa, Bharat

    2007-01-01

    The evolving paradigm shift resulting from IT, social and technological changes has created a need for developing an innovative knowledge-based healthcare system, which can effectively meet global healthcare system demands and also cater to future trends. The Hospital Information Management System (HIMS) is developed with this sole aim in mind, which helps in processing and management of hospital information not only inside the boundary, but also beyond the hospital boundary, e.g., telemedicine or e-healthcare. The purpose of this paper is to present such kind of functional HIMS, which can efficiently satisfy the current and future system requirements by using Knowledge Management (KM) and data management systems. The HIMS is developed in a KM context, wherein users can share and use the knowledge more effectively. The proposed system is fully compatible with future technical, social, managerial and economical requirements.

  1. Semantic interrogation of a multi knowledge domain ontological model of tendinopathy identifies four strong candidate risk genes

    PubMed Central

    Saunders, Colleen J.; Jalali Sefid Dashti, Mahjoubeh; Gamieldien, Junaid

    2016-01-01

    Tendinopathy is a multifactorial syndrome characterised by tendon pain and thickening, and impaired performance during activity. Candidate gene association studies have identified genetic factors that contribute to intrinsic risk of developing tendinopathy upon exposure to extrinsic factors. Bioinformatics approaches that data-mine existing knowledge for biological relationships may assist with the identification of candidate genes. The aim of this study was to data-mine functional annotation of human genes and identify candidate genes by ontology-seeded queries capturing the features of tendinopathy. Our BioOntological Relationship Graph database (BORG) integrates multiple sources of genomic and biomedical knowledge into an on-disk semantic network where human genes and their orthologs in mouse and rat are central concepts mapped to ontology terms. The BORG was used to screen all human genes for potential links to tendinopathy. Following further prioritisation, four strong candidate genes (COL11A2, ELN, ITGB3, LOX) were identified. These genes are differentially expressed in tendinopathy, functionally linked to features of tendinopathy and previously implicated in other connective tissue diseases. In conclusion, cross-domain semantic integration of multiple sources of biomedical knowledge, and interrogation of phenotypes and gene functions associated with disease, may significantly increase the probability of identifying strong and unobvious candidate genes in genetic association studies. PMID:26804977

  2. Semantic interrogation of a multi knowledge domain ontological model of tendinopathy identifies four strong candidate risk genes.

    PubMed

    Saunders, Colleen J; Jalali Sefid Dashti, Mahjoubeh; Gamieldien, Junaid

    2016-01-25

    Tendinopathy is a multifactorial syndrome characterised by tendon pain and thickening, and impaired performance during activity. Candidate gene association studies have identified genetic factors that contribute to intrinsic risk of developing tendinopathy upon exposure to extrinsic factors. Bioinformatics approaches that data-mine existing knowledge for biological relationships may assist with the identification of candidate genes. The aim of this study was to data-mine functional annotation of human genes and identify candidate genes by ontology-seeded queries capturing the features of tendinopathy. Our BioOntological Relationship Graph database (BORG) integrates multiple sources of genomic and biomedical knowledge into an on-disk semantic network where human genes and their orthologs in mouse and rat are central concepts mapped to ontology terms. The BORG was used to screen all human genes for potential links to tendinopathy. Following further prioritisation, four strong candidate genes (COL11A2, ELN, ITGB3, LOX) were identified. These genes are differentially expressed in tendinopathy, functionally linked to features of tendinopathy and previously implicated in other connective tissue diseases. In conclusion, cross-domain semantic integration of multiple sources of biomedical knowledge, and interrogation of phenotypes and gene functions associated with disease, may significantly increase the probability of identifying strong and unobvious candidate genes in genetic association studies.

  3. The Eighth Stage of Information Management: Information Resources Management (IRM) vs. Knowledge Management (KM), and the Chief Information Officer (CIO) vs. the Chief Knowledge Officer (CKO).

    ERIC Educational Resources Information Center

    Chen, Rui

    1998-01-01

    Describes the characteristics of the transfer point of information management to knowledge management (KM), what information resources management (IRM) does, and compares information and knowledge management and the roles of chief information officer (CIO) and chief knowledge officer (CKO). (PEN)

  4. A Semantic Based Policy Management Framework for Cloud Computing Environments

    ERIC Educational Resources Information Center

    Takabi, Hassan

    2013-01-01

    Cloud computing paradigm has gained tremendous momentum and generated intensive interest. Although security issues are delaying its fast adoption, cloud computing is an unstoppable force and we need to provide security mechanisms to ensure its secure adoption. In this dissertation, we mainly focus on issues related to policy management and access…

  5. Mining Genotype-Phenotype Associations from Public Knowledge Sources via Semantic Web Querying.

    PubMed

    Kiefer, Richard C; Freimuth, Robert R; Chute, Christopher G; Pathak, Jyotishman

    2013-01-01

    Gene Wiki Plus (GeneWiki+) and the Online Mendelian Inheritance in Man (OMIM) are publicly available resources for sharing information about disease-gene and gene-SNP associations in humans. While immensely useful to the scientific community, both resources are manually curated, thereby making the data entry and publication process time-consuming, and to some degree, error-prone. To this end, this study investigates Semantic Web technologies to validate existing and potentially discover new genotype-phenotype associations in GWP and OMIM. In particular, we demonstrate the applicability of SPARQL queries for identifying associations not explicitly stated for commonly occurring chronic diseases in GWP and OMIM, and report our preliminary findings for coverage, completeness, and validity of the associations. Our results highlight the benefits of Semantic Web querying technology to validate existing disease-gene associations as well as identify novel associations although further evaluation and analysis is required before such information can be applied and used effectively.

  6. Semantic Lexicon Construction: Learning from Unlabeled Data via Spectral Analysis

    DTIC Science & Technology

    2004-01-01

    SVD). In this paper, we generally call such SVD- based subspace construction spectral analysis. Latent Semantic Indexing (LSI) (Deerwester et al...Richard Harshman. 1990. Indexing by Latent Semantic Analysis. Journal of the Society for Information Science, 41:391–407. A. Dempster, N. Laird, and D...and Knowledge Management. Christos H. Papadimitriou, Prabhakar Raghavan, Hisao Tamaki, and Santosh Vempala. 2000. Latent Semantic Indexing: A

  7. Analysis on the Management of College Teachers' Tacit Knowledge

    ERIC Educational Resources Information Center

    Zhang, Linying; Han, Zhijun

    2008-01-01

    Knowledge management, especially, tacit knowledge management, is a significant guarantee for the sustainable development of universities. The transfer of college teachers' tacit knowledge is the key and difficult point in tacit knowledge management of universities. This paper starts from the existence and application condition of college teachers'…

  8. The anterior temporal lobes are critically involved in acquiring new conceptual knowledge: evidence for impaired feature integration in semantic dementia.

    PubMed

    Hoffman, Paul; Evans, Gemma A L; Lambon Ralph, Matthew A

    2014-01-01

    Recent evidence from multiple neuroscience techniques indicates that regions within the anterior temporal lobes (ATLs) are a critical node in the neural network for representing conceptual knowledge, yet their function remains elusive. The hub-and-spoke model holds that ATL regions act as a transmodal conceptual hub, distilling the various sensory-motor features of objects and words into integrated, coherent conceptual representations. Single-cell recordings in monkeys suggest that the ATLs are critically involved in visual associative learning; however, investigations of this region in humans have focused on existing knowledge rather than learning. We studied acquisition of new concepts in semantic dementia patients, who have cortical damage centred on the ventrolateral aspects of the ATLs. Patients learned to assign abstract visual stimuli to two categories. The categories conformed to a family resemblance structure in which no individual stimulus features were fully diagnostic; thus the task required participants to form representations that integrate multiple features into a single concept. Patients were unable to do this, instead responding only on the basis of individual features. The study reveals that integrating disparate sources of information into novel coherent concepts is a critical computational function of the ATLs. This explains the central role of this region in conceptual representation and the catastrophic breakdown of concepts in semantic dementia.

  9. Building a knowledge base of severe adverse drug events based on AERS reporting data using semantic web technologies.

    PubMed

    Jiang, Guoqian; Wang, Liwei; Liu, Hongfang; Solbrig, Harold R; Chute, Christopher G

    2013-01-01

    A semantically coded knowledge base of adverse drug events (ADEs) with severity information is critical for clinical decision support systems and translational research applications. However it remains challenging to measure and identify the severity information of ADEs. The objective of the study is to develop and evaluate a semantic web based approach for building a knowledge base of severe ADEs based on the FDA Adverse Event Reporting System (AERS) reporting data. We utilized a normalized AERS reporting dataset and extracted putative drug-ADE pairs and their associated outcome codes in the domain of cardiac disorders. We validated the drug-ADE associations using ADE datasets from SIDe Effect Resource (SIDER) and the UMLS. We leveraged the Common Terminology Criteria for Adverse Event (CTCAE) grading system and classified the ADEs into the CTCAE in the Web Ontology Language (OWL). We identified and validated 2,444 unique Drug-ADE pairs in the domain of cardiac disorders, of which 760 pairs are in Grade 5, 775 pairs in Grade 4 and 2,196 pairs in Grade 3.

  10. SemanticOrganizer: A Customizable Semantic Repository for Distributed NASA Project Teams

    NASA Technical Reports Server (NTRS)

    Keller, Richard M.; Berrios, Daniel C.; Carvalho, Robert E.; Hall, David R.; Rich, Stephen J.; Sturken, Ian B.; Swanson, Keith J.; Wolfe, Shawn R.

    2004-01-01

    SemanticOrganizer is a collaborative knowledge management system designed to support distributed NASA projects, including diverse teams of scientists, engineers, and accident investigators. The system provides a customizable, semantically structured information repository that stores work products relevant to multiple projects of differing types. SemanticOrganizer is one of the earliest and largest semantic web applications deployed at NASA to date, and has been used in diverse contexts ranging from the investigation of Space Shuttle Columbia's accident to the search for life on other planets. Although the underlying repository employs a single unified ontology, access control and ontology customization mechanisms make the repository contents appear different for each project team. This paper describes SemanticOrganizer, its customization facilities, and a sampling of its applications. The paper also summarizes some key lessons learned from building and fielding a successful semantic web application across a wide-ranging set of domains with diverse users.

  11. Knowledge and information management for integrated water resource management

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Watershed information systems that integrate data and analytical tools are critical enabling technologies to support Integrated Water Resource Management (IWRM) by converting data into information, and information into knowledge. Many factors bring people to the table to participate in an IWRM fra...

  12. Fair process: managing in the knowledge economy.

    PubMed

    Kim, W C; Mauborgne, R

    1997-01-01

    Unlike the traditional factors of production--land, labor, and capital--knowledge is a resource that can't be forced out of people. But creating and sharing knowledge is essential to fostering innovation, the key challenge of the knowledge-based economy. To create a climate in which employees volunteer their creativity and expertise, managers need to look beyond the traditional tools at their disposal. They need to build trust. The authors have studied the links between trust, idea sharing, and corporate performance for more than a decade. They have explored the question of why managers of local subsidiaries so often fail to share information with executives at headquarters. They have studied the dynamics of idea sharing in product development teams, joint ventures, supplier partnerships, and corporate transformations. They offer an explanation for why people resist change even when it would benefit them directly. In every case, the decisive factor was what the authors call fair process--fairness in the way a company makes and executes decisions. The elements of fair process are simple: Engage people's input in decisions that directly affect them. Explain why decisions are made the way they are. Make clear what will be expected of employees after the changes are made. Fair process may sound like a soft issue, but it is crucial to building trust and unlocking ideas. Without it, people are apt to withhold their full cooperation and their creativity. The results are costly: ideas that never see daylight and initiatives that are never seized.

  13. Introducing T-shaped managers. Knowledge management's next generation.

    PubMed

    Hansen, M T; von Oetinger, B

    2001-03-01

    Most companies do a poor job of capitalizing on the wealth of expertise scattered across their organizations. That's because they tend to rely on centralized knowledge-management systems and technologies. But such systems are really only good at distributing explicit knowledge, the kind that can be captured and codified for general use. They're not very good at transferring implicit knowledge, the kind needed to generate new insights and creative ways of tackling business problems or opportunities. The authors suggest another approach, something they call T-shaped management, which requires executives to share knowledge freely across their organization (the horizontal part of the "T"), while remaining fiercely committed to their individual business unit's performance (the vertical part). A few companies are starting to use this approach, and one--BP Amoco--has been especially successful. From BP's experience, the authors have gleaned five ways that T-shaped managers help companies capitalize on their inherent knowledge. They increase efficiency by transferring best practices. They improve the quality of decision making companywide. They grow revenues through shared expertise. They develop new business opportunities through the cross-pollination of ideas. And they make bold strategic moves possible by delivering well-coordinated implementation. All that takes time, and BP's managers have had to learn how to balance that time against the attention they must pay to their own units. The authors suggest, however, that it's worth the effort to find such a balance to more fully realize the immense value of the knowledge lying idle within so many companies.

  14. Turning Knowledge into Success: The Role of Collaboration in Knowledge Management Implementation

    ERIC Educational Resources Information Center

    Hizmetli, Handan

    2014-01-01

    This case study describes five phases that a community college went through in developing its use of knowledge management practices to improve their student outcomes and recommends how other colleges can similarly benefit from knowledge management in meeting their goals.

  15. A Taxonomy of Knowledge Management Software Tools: Origins and Applications.

    ERIC Educational Resources Information Center

    Tyndale, Peter

    2002-01-01

    Examines, evaluates, and organizes a wide variety of knowledge management software tools by examining the literature related to the selection and evaluation of knowledge management tools. (Author/SLD)

  16. Knowledge Management and the Practice of Knowledge Sharing and Learning at Work: A Case Study

    ERIC Educational Resources Information Center

    Elmholdt, Claus

    2004-01-01

    This article offers a critique of knowledge management. The critique is empirically based on the case study of a Danish software production company's (A-Soft) knowledge management strategy of implementing an information technology (IT) tool known as 'knowledge centre' (KC). The article argues: (1) the discourses on knowledge and learning informing…

  17. Implementing Socrates Knowledge Management System for Education and Training.

    ERIC Educational Resources Information Center

    Shrivastava, Paul

    This paper develops a new conception of organizational knowledge management as "knowledge ecology." The Socrates electronic learning environment is described as an example of a knowledge ecosystem for education and training. The Socrates program was developed as a knowledge management system, viewing classrooms as organizations for…

  18. For Performance through Learning, Knowledge Management Is Critical Practice

    ERIC Educational Resources Information Center

    Gorelick, Carol; Tantawy-Monsou, Brigitte

    2005-01-01

    Purpose: This paper proposes that knowledge management is a system that integrates people, process and technology for sustainable results by increasing performance through learning. Definitions of knowledge, knowledge management and performance serve as a foundation. Design/methodology/approach: The model for the knowledge era proposed in this…

  19. The Elusive Benefits of the Technological Support of Knowledge Management.

    ERIC Educational Resources Information Center

    Flanagin, Andrew J.

    2002-01-01

    Considers the application of technological tools to knowledge management and the difficulties and developments in the technological support of knowledge management. Hopes to capture the tacit knowledge of experienced organizational members, make it more explicit in the form of simulation scenarios, and to turn it into tacit knowledge for trainees…

  20. Open Source for Knowledge and Learning Management: Strategies beyond Tools

    ERIC Educational Resources Information Center

    Lytras, Miltiadis, Ed.; Naeve, Ambjorn, Ed.

    2007-01-01

    In the last years, knowledge and learning management have made a significant impact on the IT research community. "Open Source for Knowledge and Learning Management: Strategies Beyond Tools" presents learning and knowledge management from a point of view where the basic tools and applications are provided by open source technologies.…

  1. Applying a Knowledge Management Taxonomy to Secondary Schools

    ERIC Educational Resources Information Center

    Thambi, Melinda; O'Toole, Paddy

    2012-01-01

    The purpose of this article is to examine the relevance of a corporate-based taxonomy of knowledge management to secondary schooling. Do the principles of knowledge management from the corporate world translate to the world of education; specifically, secondary schooling? This article examines categories of knowledge management articulated in…

  2. Ontology Language to Support Description of Experiment Control System Semantics, Collaborative Knowledge-Base Design and Ontology Reuse

    SciTech Connect

    Vardan Gyurjyan, D Abbott, G Heyes, E Jastrzembski, B Moffit, C Timmer, E Wolin

    2009-10-01

    In this paper we discuss the control domain specific ontology that is built on top of the domain-neutral Resource Definition Framework (RDF). Specifically, we will discuss the relevant set of ontology concepts along with the relationships among them in order to describe experiment control components and generic event-based state machines. Control Oriented Ontology Language (COOL) is a meta-data modeling language that provides generic means for representation of physics experiment control processes and components, and their relationships, rules and axioms. It provides a semantic reference frame that is useful for automating the communication of information for configuration, deployment and operation. COOL has been successfully used to develop a complete and dynamic knowledge-base for experiment control systems, developed using the AFECS framework.

  3. BIM: enabling sustainability and asset management through knowledge management.

    PubMed

    Kivits, Robbert Anton; Furneaux, Craig

    2013-11-10

    Building Information Modeling (BIM) is the use of virtual building information models to develop building design solutions and design documentation and to analyse construction processes. Recent advances in IT have enabled advanced knowledge management, which in turn facilitates sustainability and improves asset management in the civil construction industry. There are several important qualifiers and some disadvantages of the current suite of technologies. This paper outlines the benefits, enablers, and barriers associated with BIM and makes suggestions about how these issues may be addressed. The paper highlights the advantages of BIM, particularly the increased utility and speed, enhanced fault finding in all construction phases, and enhanced collaborations and visualisation of data. The paper additionally identifies a range of issues concerning the implementation of BIM as follows: IP, liability, risks, and contracts and the authenticity of users. Implementing BIM requires investment in new technology, skills training, and development of new ways of collaboration and Trade Practices concerns. However, when these challenges are overcome, BIM as a new information technology promises a new level of collaborative engineering knowledge management, designed to facilitate sustainability and asset management issues in design, construction, asset management practices, and eventually decommissioning for the civil engineering industry.

  4. BIM: Enabling Sustainability and Asset Management through Knowledge Management

    PubMed Central

    2013-01-01

    Building Information Modeling (BIM) is the use of virtual building information models to develop building design solutions and design documentation and to analyse construction processes. Recent advances in IT have enabled advanced knowledge management, which in turn facilitates sustainability and improves asset management in the civil construction industry. There are several important qualifiers and some disadvantages of the current suite of technologies. This paper outlines the benefits, enablers, and barriers associated with BIM and makes suggestions about how these issues may be addressed. The paper highlights the advantages of BIM, particularly the increased utility and speed, enhanced fault finding in all construction phases, and enhanced collaborations and visualisation of data. The paper additionally identifies a range of issues concerning the implementation of BIM as follows: IP, liability, risks, and contracts and the authenticity of users. Implementing BIM requires investment in new technology, skills training, and development of new ways of collaboration and Trade Practices concerns. However, when these challenges are overcome, BIM as a new information technology promises a new level of collaborative engineering knowledge management, designed to facilitate sustainability and asset management issues in design, construction, asset management practices, and eventually decommissioning for the civil engineering industry. PMID:24324392

  5. Adaptive Knowledge Management of Project-Based Learning

    ERIC Educational Resources Information Center

    Tilchin, Oleg; Kittany, Mohamed

    2016-01-01

    The goal of an approach to Adaptive Knowledge Management (AKM) of project-based learning (PBL) is to intensify subject study through guiding, inducing, and facilitating development knowledge, accountability skills, and collaborative skills of students. Knowledge development is attained by knowledge acquisition, knowledge sharing, and knowledge…

  6. Knowledge Management in Preserving Ecosystems: The Case of Seoul

    ERIC Educational Resources Information Center

    Lee, Jeongseok

    2009-01-01

    This study explores the utility of employing knowledge management as a framework for understanding how public managers perform ecosystem management. It applies the grounded theory method to build a model. The model is generated by applying the concept of knowledge process to an investigation of how the urban ecosystem is publicly managed by civil…

  7. Motor Knowledge Is One Dimension for Concept Organization: Further Evidence from a Chinese Semantic Dementia Case

    ERIC Educational Resources Information Center

    Lin, Nan; Guo, Qihao; Han, Zaizhu; Bi, Yanchao

    2011-01-01

    Neuropsychological and neuroimaging studies have indicated that motor knowledge is one potential dimension along which concepts are organized. Here we present further direct evidence for the effects of motor knowledge in accounting for categorical patterns across object domains (living vs. nonliving) and grammatical domains (nouns vs. verbs), as…

  8. Effects of Induced Orthographic and Semantic Knowledge on Subsequent Learning: A Test of the Partial Knowledge Hypothesis

    ERIC Educational Resources Information Center

    Adlof, Suzanne; Frishkoff, Gwen; Dandy, Jennifer; Perfetti, Charles

    2016-01-01

    Word learning can build the high-quality word representations that support skilled reading and language comprehension. According to the partial knowledge hypothesis, words that are partially known, also known as "frontier words" (Durso & Shore, 1991), may be good targets for instruction precisely because they are already familiar.…

  9. Safety and Mission Assurance Knowledge Management Retention: Managing Knowledge for Successful Mission Operations

    NASA Technical Reports Server (NTRS)

    Johnson, Teresa A.

    2006-01-01

    Knowledge Management is a proactive pursuit for the future success of any large organization faced with the imminent possibility that their senior managers/engineers with gained experiences and lessons learned plan to retire in the near term. Safety and Mission Assurance (S&MA) is proactively pursuing unique mechanism to ensure knowledge learned is retained and lessons learned captured and documented. Knowledge Capture Event/Activities/Management helps to provide a gateway between future retirees and our next generation of managers/engineers. S&MA hosted two Knowledge Capture Events during 2005 featuring three of its retiring fellows (Axel Larsen, Dave Whittle and Gary Johnson). The first Knowledge Capture Event February 24, 2005 focused on two Safety and Mission Assurance Safety Panels (Space Shuttle System Safety Review Panel (SSRP); Payload Safety Review Panel (PSRP) and the latter event December 15, 2005 featured lessons learned during Apollo, Skylab, and Space Shuttle which could be applicable in the newly created Crew Exploration Vehicle (CEV)/Constellation development program. Gemini, Apollo, Skylab and the Space Shuttle promised and delivered exciting human advances in space and benefits of space in people s everyday lives on earth. Johnson Space Center's Safety & Mission Assurance team work over the last 20 years has been mostly focused on operations we are now beginning the Exploration development program. S&MA will promote an atmosphere of knowledge sharing in its formal and informal cultures and work processes, and reward the open dissemination and sharing of information; we are asking "Why embrace relearning the "lessons learned" in the past?" On the Exploration program the focus will be on Design, Development, Test, & Evaluation (DDT&E); therefore, it is critical to understand the lessons from these past programs during the DDT&E phase.

  10. The N400 reveals how personal semantics is processed: Insights into the nature and organization of self-knowledge.

    PubMed

    Coronel, Jason C; Federmeier, Kara D

    2016-04-01

    There is growing recognition that some important forms of long-term memory are difficult to classify into one of the well-studied memory subtypes. One example is personal semantics. Like the episodes that are stored as part of one's autobiography, personal semantics is linked to an individual, yet, like general semantic memory, it is detached from a specific encoding context. Access to general semantics elicits an electrophysiological response known as the N400, which has been characterized across three decades of research; surprisingly, this response has not been fully examined in the context of personal semantics. In this study, we assessed responses to congruent and incongruent statements about people's own, personal preferences. We found that access to personal preferences elicited N400 responses, with congruency effects that were similar in latency and distribution to those for general semantic statements elicited from the same participants. These results suggest that the processing of personal and general semantics share important functional and neurobiological features.

  11. Workplan and Annex: Solar Resource Knowledge Management

    SciTech Connect

    Renne, D.

    2005-01-01

    ''Solar Resource Knowledge Management'' will be a new task under the International Energy Agency's Solar Heating and Cooling Programme. The task development has involved researchers from Germany, France, Switzerland, Spain, Portugal, Italy, Canada, the U.S. that have been engaged in the use of satellite imagery to develop solar resource maps and datasets around the world. The task will address three major areas: (1) ''Benchmarking'' of satellite-based solar resource methods so that resource information derived from approaches developed in one country or based on a specific satellite can be quantitatively intercompared with methods from other countries using different satellites, as well as with ground data; (2) Data archiving and dissemination procedures, especially focusing on access to the data by end users; and (3) basic R&D for improving the reliability and usability of the data, and for examining new types of products important to the solar industry, such as solar resource forecasts.

  12. Building biomedical web communities using a semantically aware content management system.

    PubMed

    Das, Sudeshna; Girard, Lisa; Green, Tom; Weitzman, Louis; Lewis-Bowen, Alister; Clark, Tim

    2009-03-01

    Web-based biomedical communities are becoming an increasingly popular vehicle for sharing information amongst researchers and are fast gaining an online presence. However, information organization and exchange in such communities is usually unstructured, rendering interoperability between communities difficult. Furthermore, specialized software to create such communities at low cost-targeted at the specific common information requirements of biomedical researchers-has been largely lacking. At the same time, a growing number of biological knowledge bases and biomedical resources are being structured for the Semantic Web. Several groups are creating reference ontologies for the biomedical domain, actively publishing controlled vocabularies and making data available in Resource Description Framework (RDF) language. We have developed the Science Collaboration Framework (SCF) as a reusable platform for advanced structured online collaboration in biomedical research that leverages these ontologies and RDF resources. SCF supports structured 'Web 2.0' style community discourse amongst researchers, makes heterogeneous data resources available to the collaborating scientist, captures the semantics of the relationship among the resources and structures discourse around the resources. The first instance of the SCF framework is being used to create an open-access online community for stem cell research-StemBook (http://www.stembook.org). We believe that such a framework is required to achieve optimal productivity and leveraging of resources in interdisciplinary scientific research. We expect it to be particularly beneficial in highly interdisciplinary areas, such as neurodegenerative disease and neurorepair research, as well as having broad utility across the natural sciences.

  13. How To Do Away with Semantic Pollution in Information Systems. Information Systems in Management Science

    ERIC Educational Resources Information Center

    Vazsonyi, Andrew

    1973-01-01

    There is a need for the patient establishment of the operational meanings of words and also for the introduction of new meanings by carefully climbing the semantic ladder in levels of abstraction without transgressing the semantic ceiling. (WM)

  14. Chagas disease: changes in knowledge and management.

    PubMed

    Lescure, François-Xavier; Le Loup, Guillaume; Freilij, Hector; Develoux, Michel; Paris, Luc; Brutus, Laurent; Pialoux, Gilles

    2010-08-01

    More than 100 years after the discovery of human American trypanosomiasis by Carlos Chagas, our knowledge and management of the disease are profoundly changing. Substantial progress made by disease control programmes in most endemic areas contrasts with persisting difficulties in the Gran Chaco region in South America and the recent emergence of the disease in non-endemic areas because of population movements. In terms of pathogenesis, major discoveries have been made about the life cycle and genomics of Trypanosoma cruzi, and the role of the parasite itself in the chronic phase of the disease. From a clinical perspective, a growing number of arguments have challenged the notion of an indeterminate phase, and suggest new approaches to manage patients. New methods such as standardised PCR will be necessary to ensure follow-up of this chronic infection. Although drugs for treatment of Chagas disease are limited, poorly tolerated, and not very effective, treatment indications are expanding. The results of the Benznidazole Evaluation For Interrupting Trypanosomiasis (BENEFIT) trial in 2012 will also help to inform treatment. Mobilisation of financial resources to fund research on diagnosis and randomised controlled trials of treatment are international health priorities.

  15. Knowledge management: An abstraction of knowledge base and database management systems

    NASA Technical Reports Server (NTRS)

    Riedesel, Joel D.

    1990-01-01

    Artificial intelligence application requirements demand powerful representation capabilities as well as efficiency for real-time domains. Many tools exist, the most prevalent being expert systems tools such as ART, KEE, OPS5, and CLIPS. Other tools just emerging from the research environment are truth maintenance systems for representing non-monotonic knowledge, constraint systems, object oriented programming, and qualitative reasoning. Unfortunately, as many knowledge engineers have experienced, simply applying a tool to an application requires a large amount of effort to bend the application to fit. Much work goes into supporting work to make the tool integrate effectively. A Knowledge Management Design System (KNOMAD), is described which is a collection of tools built in layers. The layered architecture provides two major benefits; the ability to flexibly apply only those tools that are necessary for an application, and the ability to keep overhead, and thus inefficiency, to a minimum. KNOMAD is designed to manage many knowledge bases in a distributed environment providing maximum flexibility and expressivity to the knowledge engineer while also providing support for efficiency.

  16. Congruent Knowledge Management Behaviors as Discriminate Sources of Competitive Advantage

    ERIC Educational Resources Information Center

    Magnier-Watanabe, Remy; Senoo, Dai

    2009-01-01

    Purpose: While knowledge management has been shown to be a strategic source of competitive advantage, processes designed to enhance the productivity of knowledge do not, however, equally contribute to the organization's capabilities. Consequently, this research aims to focus on the relationship between each mode of the knowledge management process…

  17. School Management Related Knowledge Levels of Primary School Teachers

    ERIC Educational Resources Information Center

    Ugurlu, Celal Teyyar

    2013-01-01

    The knowledge levels of the teachers affect the qualifications of operations and transactions in schools. School management related knowledge of the teachers is an essential tool to reach the targets of the school. The objective of this study was to determine the school management related knowledge levels of the teachers. Qualitative and…

  18. Social Semantics for an Effective Enterprise

    NASA Technical Reports Server (NTRS)

    Berndt, Sarah; Doane, Mike

    2012-01-01

    An evolution of the Semantic Web, the Social Semantic Web (s2w), facilitates knowledge sharing with "useful information based on human contributions, which gets better as more people participate." The s2w reaches beyond the search box to move us from a collection of hyperlinked facts, to meaningful, real time context. When focused through the lens of Enterprise Search, the Social Semantic Web facilitates the fluid transition of meaningful business information from the source to the user. It is the confluence of human thought and computer processing structured with the iterative application of taxonomies, folksonomies, ontologies, and metadata schemas. The importance and nuances of human interaction are often deemphasized when focusing on automatic generation of semantic markup, which results in dissatisfied users and unrealized return on investment. Users consistently qualify the value of information sets through the act of selection, making them the de facto stakeholders of the Social Semantic Web. Employers are the ultimate beneficiaries of s2w utilization with a better informed, more decisive workforce; one not achieved with an IT miracle technology, but by improved human-computer interactions. Johnson Space Center Taxonomist Sarah Berndt and Mike Doane, principal owner of Term Management, LLC discuss the planning, development, and maintenance stages for components of a semantic system while emphasizing the necessity of a Social Semantic Web for the Enterprise. Identification of risks and variables associated with layering the successful implementation of a semantic system are also modeled.

  19. Approaching Knowledge Management through the Lens of the Knowledge Life Cycle: A Case Study Investigation

    ERIC Educational Resources Information Center

    Fowlin, Julaine M.; Cennamo, Katherine S.

    2017-01-01

    More organizational leaders are recognizing that their greatest competitive advantage is the knowledge base of their employees and for organizations to thrive knowledge management (KM) systems need to be in place that encourage the natural interplay and flow of tacit and explicit knowledge. Approaching KM through the lens of the knowledge life…

  20. Knowledge Management and Professional Work: A Communication Perspective on the Knowledge-Based Organization.

    ERIC Educational Resources Information Center

    Heaton, Lorna; Taylor, James R.

    2002-01-01

    Challenges two common assumptions in the literature on Knowledge Management: that knowledge originates in the individual and that once made explicit, subsequent interpretation of the representations of knowledge in symbolic form is unproblematic. Argues that the key to understanding the generation and sharing of knowledge is the role of text as…

  1. Semantic Representation and Scale-Up of Integrated Air Traffic Management Data

    NASA Technical Reports Server (NTRS)

    Keller, Richard M.; Ranjan, Shubha; Wei, Mie; Eshow, Michelle

    2016-01-01

    Each day, the global air transportation industry generates a vast amount of heterogeneous data from air carriers, air traffic control providers, and secondary aviation entities handling baggage, ticketing, catering, fuel delivery, and other services. Generally, these data are stored in isolated data systems, separated from each other by significant political, regulatory, economic, and technological divides. These realities aside, integrating aviation data into a single, queryable, big data store could enable insights leading to major efficiency, safety, and cost advantages. In this paper, we describe an implemented system for combining heterogeneous air traffic management data using semantic integration techniques. The system transforms data from its original disparate source formats into a unified semantic representation within an ontology-based triple store. Our initial prototype stores only a small sliver of air traffic data covering one day of operations at a major airport. The paper also describes our analysis of difficulties ahead as we prepare to scale up data storage to accommodate successively larger quantities of data -- eventually covering all US commercial domestic flights over an extended multi-year timeframe. We review several approaches to mitigating scale-up related query performance concerns.

  2. Verbal Mediation of Number Knowledge: Evidence from Semantic Dementia and Corticobasal Degeneration

    ERIC Educational Resources Information Center

    Halpern, Casey; Clark, Robin; Moore, Peachie; Antani, Shweta; Colcher, Amy; Grossman, Murray

    2004-01-01

    Patients with corticobasal degeneration (CBD) appear to have impaired number knowledge. We examined the nature of their number deficit while we tested the hypothesis that comprehension of larger numbers depends in part on verbal mediation. We evaluated magnitude judgments and performance on number conservation measures rooted in Piagetian theory…

  3. Moving Past "Right" or "Wrong" toward a Continuum of Young Children's Semantic Knowledge

    ERIC Educational Resources Information Center

    Christ, Tanya

    2011-01-01

    Vocabulary development is a critical goal for early childhood education. However, it is difficult for researchers and teachers to determine whether this goal is being met, given the limitations of current assessment tools. These tools tend to view word knowledge dichotomously--as right or wrong. A clear sense of children's depth of semantic…

  4. Organisation and Evocation of the Semantic Knowledge: A Non-Abstractive Approach

    ERIC Educational Resources Information Center

    Atzeni, Thierry; Carbonnel, Serge

    2004-01-01

    The majority of the models which attempt to explain category-specific deficits are based on the assumption that the conceptual knowledge is represented in a permanent way in memory (abstractive view). Carbonnel, Charnallet, David, and Pellat (1997) showed that a non-abstractive view would be more suitable to account for some of these cases. The…

  5. The Design Of Students-oriented Personal Knowledge Management System

    NASA Astrophysics Data System (ADS)

    Jing, Li; Yahui, Sun; Ning, Zheng; Xin, Lv

    Along with the comprehensive advancement of education informationization, knowledge management (PM) is also researched unceasingly in the educational technology, it becomes a hot topic of discussion in this domain that how to gain, use, management and innovate effectively knowledge. The teacher and the student who are two big communities in the education domain are the centre of attention in personal knowledge management. At present, the harvest of personal knowledge management research is hardly abundance at home and abroad. The relevant theoretical systems are needed to be improved. Especially the personal knowledge management (PKM) for the student is the condition of starting. The theory of the personal knowledge management for the student and system's development, which are mainly discussed in this thesis, have important practical significance and application value.

  6. Integrated Risk and Knowledge Management Program -- IRKM-P

    NASA Technical Reports Server (NTRS)

    Lengyel, David M.

    2009-01-01

    The NASA Exploration Systems Mission Directorate (ESMD) IRKM-P tightly couples risk management and knowledge management processes and tools to produce an effective "modern" work environment. IRKM-P objectives include: (1) to learn lessons from past and current programs (Apollo, Space Shuttle, and the International Space Station); (2) to generate and share new engineering design, operations, and management best practices through preexisting Continuous Risk Management (CRM) procedures and knowledge-management practices; and (3) to infuse those lessons and best practices into current activities. The conceptual framework of the IRKM-P is based on the assumption that risks highlight potential knowledge gaps that might be mitigated through one or more knowledge management practices or artifacts. These same risks also serve as cues for collection of knowledge particularly, knowledge of technical or programmatic challenges that might recur.

  7. Towards a typology of business process management professionals: identifying patterns of competences through latent semantic analysis

    NASA Astrophysics Data System (ADS)

    Müller, Oliver; Schmiedel, Theresa; Gorbacheva, Elena; vom Brocke, Jan

    2016-01-01

    While researchers have analysed the organisational competences that are required for successful Business Process Management (BPM) initiatives, individual BPM competences have not yet been studied in detail. In this study, latent semantic analysis is used to examine a collection of 1507 BPM-related job advertisements in order to develop a typology of BPM professionals. This empirical analysis reveals distinct ideal types and profiles of BPM professionals on several levels of abstraction. A closer look at these ideal types and profiles confirms that BPM is a boundary-spanning field that requires interdisciplinary sets of competence that range from technical competences to business and systems competences. Based on the study's findings, it is posited that individual and organisational alignment with the identified ideal types and profiles is likely to result in high employability and organisational BPM success.

  8. Semantic Catalog of Things, Services, and Data to Support a Wind Data Management Facility

    SciTech Connect

    Stephan, E. G.; Elsethagen, T. O.; Berg, L. K.; Macduff, M. C.; Paulson, P. R.; Shaw, W. J.; Sivaraman, C.; Smith, W. P.; Wynne, A.

    2016-08-25

    The purpose of this paper is to discuss how community vocabularies and linked open data best practices are being used to seamlessly link things, data, and off the shelf services to support scientific offshore wind energy research for the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) Wind and Water Power Program. This is largely made possible by leveraging collaborative advances in the Internet of Things (IoT), Semantic Web, Linked Services, Linked Open Data (LOD), and RDF vocabulary communities, which provide the foundation for our design. By adapting these linked community best practices, we designed a wind characterization data management facility capable of continually collecting, processing, and preservation of in situ and remote sensing instrume

  9. Ontology-based approaches for cross-enterprise collaboration: a literature review on semantic business process management

    NASA Astrophysics Data System (ADS)

    Hoang, Hanh H.; Jung, Jason J.; Tran, Chi P.

    2014-11-01

    Based on an in-depth analysis of the existing approaches in applying semantic technologies to business process management (BPM) research in the perspective of cross-enterprise collaboration or so-called business-to-business integration, we analyse, discuss and compare methodologies, applications and best practices of the surveyed approaches with the proposed criteria. This article identifies various relevant research directions in semantic BPM (SBPM). Founded on the result of our investigation, we summarise the state of art of SBPM. We also address areas and directions for further research activities.

  10. A Knowledge Management Case Study: The First U.S. Navy Expeditionary Strike Group (ESG-3) to Implement Knowledge Management

    DTIC Science & Technology

    2008-01-01

    experience; it is knowledge that resides in each person’s mind.2o Michael Polanyi , a Tacit Knowledge scholar, declares that Tacit Knowledge cannot truly...www.pirp.harvard.edu,24 April 2007. Srikantaiah, T. Kanti and Koenig, Michael B.D., ed. Knowledge Management: For The Information Professional. Medford: New

  11. From Knowledge Sharing to Knowledge Creation: A Blended Knowledge-Management Model for Improving University Students' Creativity

    ERIC Educational Resources Information Center

    Yeh, Yu-chu; Yeh, Yi-ling; Chen, Yu-Hua

    2012-01-01

    Creativity and knowledge management are both important competences that university students need to strive to develop. This study therefore developed and evaluated an instructional program for improving university students' creativity based on a blended knowledge-management (KM) model that integrates e-learning and three core processes of KM:…

  12. Concurrent engineering design and management knowledge capture

    NASA Technical Reports Server (NTRS)

    1990-01-01

    The topics are presented in viewgraph form and include the following: real-time management, personnel management, project management, conceptual design and decision making; the SITRF design problem; and the electronic-design notebook.

  13. The Organization and Dissolution of Semantic-Conceptual Knowledge: Is the "Amodal Hub" the Only Plausible Model?

    ERIC Educational Resources Information Center

    Gainotti, Guido

    2011-01-01

    In recent years, the anatomical and functional bases of conceptual activity have attracted a growing interest. In particular, Patterson and Lambon-Ralph have proposed the existence, in the anterior parts of the temporal lobes, of a mechanism (the "amodal semantic hub") supporting the interactive activation of semantic representations in all…

  14. Restaurant manager and worker food safety certification and knowledge.

    PubMed

    Brown, Laura G; Le, Brenda; Wong, Melissa R; Reimann, David; Nicholas, David; Faw, Brenda; Davis, Ernestine; Selman, Carol A

    2014-11-01

    Over half of foodborne illness outbreaks occur in restaurants. To combat these outbreaks, many public health agencies require food safety certification for restaurant managers, and sometimes workers. Certification entails passing a food safety knowledge examination, which is typically preceded by food safety training. Current certification efforts are based on the assumption that certification leads to greater food safety knowledge. The Centers for Disease Control and Prevention conducted this study to examine the relationship between food safety knowledge and certification. We also examined the relationships between food safety knowledge and restaurant, manager, and worker characteristics. We interviewed managers (N=387) and workers (N=365) about their characteristics and assessed their food safety knowledge. Analyses showed that certified managers and workers had greater food safety knowledge than noncertified managers and workers. Additionally, managers and workers whose primary language was English had greater food safety knowledge than those whose primary language was not English. Other factors associated with greater food safety knowledge included working in a chain restaurant, working in a larger restaurant, having more experience, and having more duties. These findings indicate that certification improves food safety knowledge, and that complex relationships exist among restaurant, manager, and worker characteristics and food safety knowledge.

  15. Semantic World Modelling and Data Management in a 4d Forest Simulation and Information System

    NASA Astrophysics Data System (ADS)

    Roßmann, J.; Hoppen, M.; Bücken, A.

    2013-08-01

    Various types of 3D simulation applications benefit from realistic forest models. They range from flight simulators for entertainment to harvester simulators for training and tree growth simulations for research and planning. Our 4D forest simulation and information system integrates the necessary methods for data extraction, modelling and management. Using modern methods of semantic world modelling, tree data can efficiently be extracted from remote sensing data. The derived forest models contain position, height, crown volume, type and diameter of each tree. This data is modelled using GML-based data models to assure compatibility and exchangeability. A flexible approach for database synchronization is used to manage the data and provide caching, persistence, a central communication hub for change distribution, and a versioning mechanism. Combining various simulation techniques and data versioning, the 4D forest simulation and information system can provide applications with "both directions" of the fourth dimension. Our paper outlines the current state, new developments, and integration of tree extraction, data modelling, and data management. It also shows several applications realized with the system.

  16. Rethinking Knowledge Management: Strategies for Enhancing District-Level Teacher and Leader Tacit Knowledge Sharing

    ERIC Educational Resources Information Center

    Edge, Karen

    2013-01-01

    Grounded within knowledge management (KM) theory and conceptions of tacit and explicit knowledge, this article draws on historical evidence from the Early Years Literacy Project (EYLP), a four-year instructional renewal strategy implemented across 100 schools in a large Canadian school district. The EYLP management approach included a series of…

  17. Problems in Knowledge Management: A Case Study of a Knowledge-Intensive Company.

    ERIC Educational Resources Information Center

    van Zolingen, S. J.; Streumer, J. N.; Stooker, M.

    2001-01-01

    A case study of a knowledge-intensive company demonstrated that most knowledge management problems occur in the first three stages of the process (acquiring, codifying, disseminating) rather than in developing and applying. Identifying missing core knowledge, maintaining adequate information systems, and improving dissemination through communities…

  18. Building a Foundation for Knowledge Management Research: Developing, Validating, and Applying the Knowledge Internalization Construct

    ERIC Educational Resources Information Center

    Wipawayangkool, Kamphol

    2011-01-01

    The notion of knowledge internalization (KI), albeit a critical link in Nonaka's (1994) organizational knowledge creation theory, has not been rigorously conceptualized and defined, let alone operationalized. To strengthen the foundation for knowledge management (KM) research, we attempt to fulfill the following research objectives in the three…

  19. The Business School in Transition: New Opportunities in Management Development, Knowledge Transfer and Knowledge Creation

    ERIC Educational Resources Information Center

    Harrington, Denis; Kearney, Arthur

    2011-01-01

    Purpose: This paper aims to consider the extent to which business school transition has created new opportunities in management development, knowledge transfer and knowledge creation. Design/methodology/approach: The paper is a critical review of knowledge exchange in a business school context with a particular focus on the "translation or…

  20. Construction of a Conceptualization of Personal Knowledge within a Knowledge Management Perspective Using Grounded Theory Methodology

    ERIC Educational Resources Information Center

    Straw, Eric M.

    2013-01-01

    The current research used grounded theory methodology (GTM) to construct a conceptualization of personal knowledge within a knowledge management (KM) perspective. The need for the current research was based on the use of just two categories of knowledge, explicit and tacit, within KM literature to explain diverse characteristics of personal…

  1. Management Studies Educational Knowledge: Technical, Elite or Political?

    ERIC Educational Resources Information Center

    Hordern, Jim

    2014-01-01

    This paper draws on the technical, elite and political interpretations of the purpose of management, to identify demands for particular forms of educational knowledge in the management studies curriculum. The varied character of this knowledge is discussed using Bernsteinian concepts of verticality, grammaticality, classification and framing, and…

  2. Elements of a Knowledge Management Guide for Public Sector Organizations

    ERIC Educational Resources Information Center

    Harris, Mark Cameron

    2013-01-01

    This study explored the factors that are critical to the success of public (government) sector knowledge management initiatives and the lessons from private sector knowledge management and organizational learning that apply in the public sector. The goal was to create a concise guide, based on research-validated success factors, to aid government…

  3. Telehealth Systems: Considering Knowledge Management and ICT Issues

    DTIC Science & Technology

    2007-11-02

    Health Services Management, Vol.15, No.1, 1998, pp 3. [25] I. Nonaka. ’The Knowledge-Creating Company’, Harvard Business Review , Vol. 69, Issue: 6, 1991...1,2000, pp. 17-21. [29] M. Hansen, N. Nohria, and T. Tierney , “What’s your strategy for managing knowledge?”, Harvard Business Review , Vol. 77

  4. The N400 reveals how personal semantics is processed: Insights into the nature and organization of self-knowledge

    PubMed Central

    Federmeier, Kara D.

    2017-01-01

    There is growing recognition that some important forms of long-term memory are difficult to classify into one of the well-studied memory subtypes. One example is personal semantics. Like the episodes that are stored as part of one’s autobiography, personal semantics is linked to an individual, yet, like general semantic memory, it is detached from a specific encoding context. Access to general semantics elicits an electrophysiological response known as the N400, which has been characterized across three decades of research; surprisingly, this response has not been fully examined in the context of personal semantics. In this study, we assessed responses to congruent and incongruent statements about people’s own, personal preferences. We found that access to personal preferences elicited N400 responses, with congruency effects that were similar in latency and distribution to those for general semantic statements elicited from the same participants. These results suggest that the processing of personal and general semantics share important functional and neurobiological features. PMID:26825011

  5. Workplace Learning: The Roles of Knowledge Accessibility and Management

    ERIC Educational Resources Information Center

    Li, Jessica; Brake, Gary; Champion, Angeline; Fuller, Tony; Gabel, Sandy; Hatcher-Busch, Lori

    2009-01-01

    Purpose: The purpose of this paper is to examine how knowledge management systems have been used by the studied organizations to improve knowledge accessibility and knowledge sharing in order to increase workplace learning. Design/methodology/approach: The study relies on a qualitative multisite case study method. Data were obtained from five…

  6. Knowledge Management Systems: Linking Contribution, Refinement and Use

    ERIC Educational Resources Information Center

    Chung, Ting-ting

    2009-01-01

    Electronic knowledge repositories represent one of the fundamental tools for knowledge management (KM) initiatives. Existing research, however, has largely focused on supply-side driven research questions, such as employee motivation to contribute knowledge to a repository. This research turns attention to the dynamic relationship between the…

  7. Managing environmental knowledge through learning processes in Spanish hospitality companies.

    PubMed

    Cegarra-Navarro, Juan Gabriel; Martinez Martinez, Aurora

    2010-11-01

    The major focus of this research is to investigate whether environmental knowledge has any impact on organizational outcomes through an empirical investigation of 127 Spanish hospitality companies, using structural equation models. Our results show that environmental knowledge is an important determiner for developing organizational outcomes. However, this relationship is completed with just two related constructs: Firstly, the company's acquisition process plays a key role in managing the tension between the knowledge necessary to develop the appropriated environmental initiatives and current knowledge. Secondly, the company's distribution process also sheds light on tangible means for managers to enhance their company's outcomes through environmental knowledge.

  8. Knowledge Management & Its Applications in Distance Education

    ERIC Educational Resources Information Center

    Saxena, Anurag

    2007-01-01

    It is the digital economy age in which we are living presently. Thus, traditional thinking is proving futile and newer methods are substituting the older ones. If one has to achieve developmental goals, one has to build a knowledge repository. Success of any system today is defined by its knowledge capital. For example for a university, knowledge…

  9. Software Tools for Indigenous Knowledge Management.

    ERIC Educational Resources Information Center

    Hunter, Jane; Koopman, Bevan; Sledge, Jane

    Indigenous communities are beginning to realize the potential benefits digital technologies can offer with regard to the documentation and preservation of their histories and cultures. However, they are also coming to understand the opportunities for knowledge misuse and misappropriation of their knowledge which may accompany digitization. In this…

  10. Knowledge management in healthcare: towards 'knowledge-driven' decision-support services.

    PubMed

    Abidi, S S

    2001-09-01

    In this paper, we highlight the involvement of Knowledge Management in a healthcare enterprise. We argue that the 'knowledge quotient' of a healthcare enterprise can be enhanced by procuring diverse facets of knowledge from the seemingly placid healthcare data repositories, and subsequently operationalising the procured knowledge to derive a suite of Strategic Healthcare Decision-Support Services that can impact strategic decision-making, planning and management of the healthcare enterprise. In this paper, we firstly present a reference Knowledge Management environment-a Healthcare Enterprise Memory-with the functionality to acquire, share and operationalise the various modalities of healthcare knowledge. Next, we present the functional and architectural specification of a Strategic Healthcare Decision-Support Services Info-structure, which effectuates a synergy between knowledge procurement (vis-à-vis Data Mining) and knowledge operationalisation (vis-à-vis Knowledge Management) techniques to generate a suite of strategic knowledge-driven decision-support services. In conclusion, we argue that the proposed Healthcare Enterprise Memory is an attempt to rethink the possible sources of leverage to improve healthcare delivery, hereby providing a valuable strategic planning and management resource to healthcare policy makers.

  11. Healthcare knowledge management through building and operationalising healthcare enterprise memory.

    PubMed

    Cheah, Y N; Abidi, S S

    1999-01-01

    In this paper we suggest that the healthcare enterprise needs to be more conscious of its vast knowledge resources vis-à-vis the exploitation of knowledge management techniques to efficiently manage its knowledge. The development of healthcare enterprise memory is suggested as a solution, together with a novel approach advocating the operationalisation of healthcare enterprise memories leading to the modelling of healthcare processes for strategic planning. As an example, we present a simulation of Service Delivery Time in a hospital's OPD.

  12. Synergy optimization and operation management on syndicate complementary knowledge cooperation

    NASA Astrophysics Data System (ADS)

    Tu, Kai-Jan

    2014-10-01

    The number of multi enterprises knowledge cooperation has grown steadily, as a result of global innovation competitions. I have conducted research based on optimization and operation studies in this article, and gained the conclusion that synergy management is effective means to break through various management barriers and solve cooperation's chaotic systems. Enterprises must communicate system vision and access complementary knowledge. These are crucial considerations for enterprises to exert their optimization and operation knowledge cooperation synergy to meet global marketing challenges.

  13. The online Managed Knowledge Network that shares knowledge for eHealth in NHS Scotland.

    PubMed

    Dallest, Kathy; Strachan, Heather; Flett, Gillian

    2009-01-01

    The Managed Knowledge Network (MKN) for Nurses, Midwives and the Allied Health Professions (NMAHPs) in NHS Scotland was launched in November 2007. The online portal supports the NMAHP network to manage its knowledge and information sources that facilitate engagement with the national eHealth programme and realisation of benefits that eHealth offers to improve healthcare and service delivery. It is an integrated change management and knowledge management initiative. Web2 technologies support the social networking side of knowledge management and learning, allowing people to contact each other and collaborate. MKN resources are managed within the e-Library also giving access to over 5,000 online journals and over 500 bibliographic databases.

  14. Integrating Syntax, Semantics, and Discourse DARPA (Defense Advanced Research Projects Agency) Natural Language Understanding Program

    DTIC Science & Technology

    1988-08-01

    resolution of anaphoric references, and an analysis of temporal relations. The resulting data structure is known as the Integrated Discourse Representation... binding procedures * semantics.pl - the Semantic Interpreter * world.pl - general knowledge base procedures - Pragmatics * discourse-rules.pl - manage

  15. Developing a Knowledge Management Framework to Assist With Current USMC Information Management Practices

    DTIC Science & Technology

    2010-09-01

    IN INFORMATION TECHNOLOGY MANAGEMENT from the NAVAL POSTGRADUATE SCHOOL September 2010 Author: Petrus R. Johnson Approved by...13 E. KNOWLEDGE AND TECHNOLOGY .......................................................15 1. Knowledge Creation...Information Management Plan IPDS IDEA Program Data System IT Information Technology KCO Knowledge Centric Organization KM Knowledge

  16. Is there a difference between stripy journeys and stripy ladybirds? The N400 response to semantic and world-knowledge violations during sentence processing.

    PubMed

    Dudschig, Carolin; Maienborn, Claudia; Kaup, Barbara

    2016-03-01

    The distinction between linguistic and non-linguistic knowledge is particularly relevant because it is related to the principle of compositionality during sentence comprehension. Hagoort, Hald, Bastiaansen, and Petersson (2004) challenged the distinction between linguistic and non-linguistic knowledge. Here, we investigate how linguistic and non-linguistic violations are processed in a setting adapted from Hagoort et al., whilst in contrast to Hagoort, keeping the critical word identical. In line with the findings by Hagoort et al., our results showed largest N400 amplitudes for semantic violations ('Journeys are stripy'), followed by non-linguistic world-knowledge violations ('Ladybirds are stripy') and contingent sentences ('Trousers are stripy'), and finally by correct sentences ('Zebras are stripy'). Traditional fractional area and relative criterion measures of peak and onset latencies showed no effect of violation type. Interestingly, the semantic violation condition crossed a fixed criterion earlier than the word-knowledge violation condition. In conclusion, our data suggests that the question regarding the distinction between linguistic- and non-linguistic knowledge in terms of language integration remains open. Implications for future studies addressing the difference between linguistic and non-linguistic knowledge are discussed.

  17. Knowledge Management, Human Resource Management, and Higher Education: A Theoretical Model

    ERIC Educational Resources Information Center

    Brewer, Peggy D.; Brewer, Kristen L.

    2010-01-01

    Much has been written on the importance of knowledge management, the challenges facing organizations, and the important human resource management activities involved in assuring the acquisition and transfer of knowledge. Higher business education plays an important role in preparing students to assume the knowledge management and human resource…

  18. Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support

    PubMed Central

    Bodenreider, O.

    2008-01-01

    Summary Objectives To provide typical examples of biomedical ontologies in action, emphasizing the role played by biomedical ontologies in knowledge management, data integration and decision support. Methods Biomedical ontologies selected for their practical impact are examined from a functional perspective. Examples of applications are taken from operational systems and the biomedical literature, with a bias towards recent journal articles. Results The ontologies under investigation in this survey include SNOMED CT, the Logical Observation Identifiers, Names, and Codes (LOINC), the Foundational Model of Anatomy, the Gene Ontology, RxNorm, the National Cancer Institute Thesaurus, the International Classification of Diseases, the Medical Subject Headings (MeSH) and the Unified Medical Language System (UMLS). The roles played by biomedical ontologies are classified into three major categories: knowledge management (indexing and retrieval of data and information, access to information, mapping among ontologies); data integration, exchange and semantic interoperability; and decision support and reasoning (data selection and aggregation, decision support, natural language processing applications, knowledge discovery). Conclusions Ontologies play an important role in biomedical research through a variety of applications. While ontologies are used primarily as a source of vocabulary for standardization and integration purposes, many applications also use them as a source of computable knowledge. Barriers to the use of ontologies in biomedical applications are discussed. PMID:18660879

  19. New knowledge network evaluation method for design rationale management

    NASA Astrophysics Data System (ADS)

    Jing, Shikai; Zhan, Hongfei; Liu, Jihong; Wang, Kuan; Jiang, Hao; Zhou, Jingtao

    2015-01-01

    Current design rationale (DR) systems have not demonstrated the value of the approach in practice since little attention is put to the evaluation method of DR knowledge. To systematize knowledge management process for future computer-aided DR applications, a prerequisite is to provide the measure for the DR knowledge. In this paper, a new knowledge network evaluation method for DR management is presented. The method characterizes the DR knowledge value from four perspectives, namely, the design rationale structure scale, association knowledge and reasoning ability, degree of design justification support and degree of knowledge representation conciseness. The DR knowledge comprehensive value is also measured by the proposed method. To validate the proposed method, different style of DR knowledge network and the performance of the proposed measure are discussed. The evaluation method has been applied in two realistic design cases and compared with the structural measures. The research proposes the DR knowledge evaluation method which can provide object metric and selection basis for the DR knowledge reuse during the product design process. In addition, the method is proved to be more effective guidance and support for the application and management of DR knowledge.

  20. Knowledge management in the NHS: positioning the healthcare librarian at the knowledge intersection.

    PubMed

    Keeling, C; Lambert, S

    2000-09-01

    This paper defines what is meant by Knowledge Management, investigates how it interlinks with new ways of delivering health care and gives a synopsis of a study that investigated issues around implementation of Knowledge Management across a sample of healthcare librarians. Areas of investigation that are related to Knowledge Management include: HSG(97)47, evidence-based medicine, clinical governance, information and communication technologies, and the changing role of the healthcare librarian. A diagram is included in this paper which illustrates how the healthcare librarian interacts with resources, staff and practices, so contributing to the knowledge base of health care. The paper concludes that Government policy, new technologies and the push towards the practice of information age medicine are forcing changes throughout the NHS. Recognition of Knowledge Management is still in its infancy in the NHS--it calls for major change in organizational thinking and acceptance by the librarian that their service must also be subject to continuous improvement.

  1. Knowledge-based systems for power management

    NASA Technical Reports Server (NTRS)

    Lollar, L. F.

    1992-01-01

    NASA-Marshall's Electrical Power Branch has undertaken the development of expert systems in support of further advancements in electrical power system automation. Attention is given to the features (1) of the Fault Recovery and Management Expert System, (2) a resource scheduler or Master of Automated Expert Scheduling Through Resource Orchestration, and (3) an adaptive load-priority manager, or Load Priority List Management System. The characteristics of an advisory battery manager for the Hubble Space Telescope, designated the 'nickel-hydrogen expert system', are also noted.

  2. Some Consideration On Knowledge Management Implication On Organization's Competitiveness

    NASA Astrophysics Data System (ADS)

    Draghici, Anca; Ciortan, Marius Areta; Florea, Claudia

    2015-07-01

    The research described in this paper has been focused on two objectives: to debate the knowledge management's active role for organizations competitive advantage and to describe information technology's capabilities in leveraging the knowledge worker's competencies. For the purposes of this article, competitive advantage is perceived as a strength that provides a market advantage relative to a competitor. Often competitive advantage is related to the core competencies of the organisation, which are frequently based on implicit know-how or tacit knowledge. This intangible, unstructured knowledge is difficult to manage; consequently management has ignored it when designing business strategy. However, the increased competitive pressures of the post-industrial global economy and the exponential advances in computing power have increased management's interest in knowledge as a sustainable source of competitive advantage.

  3. Preservice Teachers' Knowledge and Perceptions of Effective Behavior Management Strategies

    ERIC Educational Resources Information Center

    Nields, Allison N.

    2014-01-01

    This study examined student teachers' perceptions and knowledge of behavior management strategies. A questionnaire that included questions about broad behavior management techniques, behavioral learning theory, and behavior management strategies related to behavioral learning theory was given to sixty-one student teacher candidates at a large…

  4. Dynamic knowledge management from multiple sources in crowdsourcing environments

    NASA Astrophysics Data System (ADS)

    Kim, Mucheol; Rho, Seungmin

    2015-10-01

    Due to the spread of smart devices and the development of network technology, a large number of people can now easily utilize the web for acquiring information and various services. Further, collective intelligence has emerged as a core player in the evolution of technology in web 2.0 generation. It means that people who are interested in a specific domain of knowledge can not only make use of the information, but they can also participate in the knowledge production processes. Since a large volume of knowledge is produced by multiple contributors, it is important to integrate and manage knowledge efficiently. In this paper, we propose a social tagging-based dynamic knowledge management system in crowdsourcing environments. The approach here is to categorize and package knowledge from multiple sources, in such a way that it easily links to target knowledge.

  5. Management of Knowledge Representation Standards Activities

    NASA Technical Reports Server (NTRS)

    Patil, Ramesh S.

    1993-01-01

    Ever since the mid-seventies, researchers have recognized that capturing knowledge is the key to building large and powerful AI systems. In the years since, we have also found that representing knowledge is difficult and time consuming. In spite of the tools developed to help with knowledge acquisition, knowledge base construction remains one of the major costs in building an Al system: For almost every system we build, a new knowledge base must be constructed from scratch. As a result, most systems remain small to medium in size. Even if we build several systems within a general area, such as medicine or electronics diagnosis, significant portions of the domain must be represented for every system we create. The cost of this duplication of effort has been high and will become prohibitive as we attempt to build larger and larger systems. To overcome this barrier we must find ways of preserving existing knowledge bases and of sharing, re-using, and building on them. This report describes the efforts undertaken over the last two years to identify the issues underlying the current difficulties in sharing and reuse, and a community wide initiative to overcome them. First, we discuss four bottlenecks to sharing and reuse, present a vision of a future in which these bottlenecks have been ameliorated, and describe the efforts of the initiative's four working groups to address these bottlenecks. We then address the supporting technology and infrastructure that is critical to enabling the vision of the future. Finally, we consider topics of longer-range interest by reviewing some of the research issues raised by our vision.

  6. Managing Knowledge And Information In The Sustainable Organization

    NASA Astrophysics Data System (ADS)

    Grecu, Valentin

    2015-09-01

    Knowledge and information management are essential for the success of organizations and bring significant competitive advantages. There has been significant investments in setting up technological platforms that support business processes and increase the efficiency of operational structure in many organizations through an efficient management of knowledge and information. This research highlights the importance of using knowledge and information management in order to increase the competitiveness of organizations and to foster the transition towards the sustainable organization, as nowadays an organization that wants to be competitive needs to be sustainable.

  7. Managing Skills and Knowledge Using Online Tools

    ERIC Educational Resources Information Center

    Waller, Dave; Holland, Tom

    2009-01-01

    Purpose: This paper aims to explore a structured approach to measuring skills and knowledge, and to outline how such an approach can be beneficial for improving performance and supporting strategy. It also seeks to examine how online tools can help with this process and to look at implications for the wider UK and European skills development…

  8. Enhancing Knowledge Sharing Management Using BIM Technology in Construction

    PubMed Central

    Ho, Shih-Ping; Tserng, Hui-Ping

    2013-01-01

    Construction knowledge can be communicated and reused among project managers and jobsite engineers to alleviate problems on a construction jobsite and reduce the time and cost of solving problems related to constructability. This paper proposes a new methodology for the sharing of construction knowledge by using Building Information Modeling (BIM) technology. The main characteristics of BIM include illustrating 3D CAD-based presentations and keeping information in a digital format and facilitation of easy updating and transfer of information in the BIM environment. Using the BIM technology, project managers and engineers can gain knowledge related to BIM and obtain feedback provided by jobsite engineers for future reference. This study addresses the application of knowledge sharing management using BIM technology and proposes a BIM-based Knowledge Sharing Management (BIMKSM) system for project managers and engineers. The BIMKSM system is then applied in a selected case study of a construction project in Taiwan to demonstrate the effectiveness of sharing knowledge in the BIM environment. The results demonstrate that the BIMKSM system can be used as a visual BIM-based knowledge sharing management platform by utilizing the BIM technology. PMID:24723790

  9. Enhancing knowledge sharing management using BIM technology in construction.

    PubMed

    Ho, Shih-Ping; Tserng, Hui-Ping; Jan, Shu-Hui

    2013-01-01

    Construction knowledge can be communicated and reused among project managers and jobsite engineers to alleviate problems on a construction jobsite and reduce the time and cost of solving problems related to constructability. This paper proposes a new methodology for the sharing of construction knowledge by using Building Information Modeling (BIM) technology. The main characteristics of BIM include illustrating 3D CAD-based presentations and keeping information in a digital format and facilitation of easy updating and transfer of information in the BIM environment. Using the BIM technology, project managers and engineers can gain knowledge related to BIM and obtain feedback provided by jobsite engineers for future reference. This study addresses the application of knowledge sharing management using BIM technology and proposes a BIM-based Knowledge Sharing Management (BIMKSM) system for project managers and engineers. The BIMKSM system is then applied in a selected case study of a construction project in Taiwan to demonstrate the effectiveness of sharing knowledge in the BIM environment. The results demonstrate that the BIMKSM system can be used as a visual BIM-based knowledge sharing management platform by utilizing the BIM technology.

  10. Temporal Representation in Semantic Graphs

    SciTech Connect

    Levandoski, J J; Abdulla, G M

    2007-08-07

    A wide range of knowledge discovery and analysis applications, ranging from business to biological, make use of semantic graphs when modeling relationships and concepts. Most of the semantic graphs used in these applications are assumed to be static pieces of information, meaning temporal evolution of concepts and relationships are not taken into account. Guided by the need for more advanced semantic graph queries involving temporal concepts, this paper surveys the existing work involving temporal representations in semantic graphs.

  11. GENESIS SciFlo: Scientific Knowledge Creation on the Grid Using a Semantically-Enabled Dataflow Execution Environment

    NASA Astrophysics Data System (ADS)

    Wilson, B. D.; Manipon, G.; Tang, B.; Mazzoni, D.; Fetzer, E.; Dobinson, E.; Yunck, T.

    2005-12-01

    The General Earth Science Investigation Suite (GENESIS) project is a NASA-sponsored partnership between the Jet Propulsion Laboratory, academia, and NASA data centers to develop a new suite of Web Services tools to facilitate multi-sensor investigations in Earth System Science. The goal of GENESIS is to enable large-scale, multi-instrument atmospheric science using combined datasets from the AIRS, MODIS, MISR, and GPS sensors. Investigations include cross-comparison of spaceborne climate sensors, cloud spectral analysis, study of upper troposphere-stratosphere water transport, study of the aerosol indirect cloud effect, and global climate model validation. The challenges are to bring together very large datasets, reformat and understand the individual instrument retrievals, co-register or re-grid the retrieved physical parameters, perform computationally-intensive data fusion and data mining operations, and accumulate complex statistics over months to years of data. To meet these challenges, we have developed a Grid computing and dataflow framework, named SciFlo, in which we are deploying a set of versatile and reusable operators for data access, subsetting, registration, mining, fusion, compression, and advanced statistical analysis. SciFlo is a system for Scientific Knowledge Creation on the Grid using a Semantically-Enabled Dataflow Execution Environment. SciFlo leverages Simple Object Access Protocol (SOAP) Web Services and the Grid Computing standards (WS-* & Globus Alliance toolkits), and enables scientists to do multi-instrument Earth Science by assembling reusable Web Services and native executables into a distributed computing flow (tree of operators). The SciFlo client & server engines optimize the execution of such distributed data flows and allow the user to transparently find and use datasets and operators without worrying about the actual location of the Grid resources. The scientist injects a distributed computation into the Grid by simply filling

  12. Developing Visualization Techniques for Semantics-based Information Networks

    NASA Technical Reports Server (NTRS)

    Keller, Richard M.; Hall, David R.

    2003-01-01

    Information systems incorporating complex network structured information spaces with a semantic underpinning - such as hypermedia networks, semantic networks, topic maps, and concept maps - are being deployed to solve some of NASA s critical information management problems. This paper describes some of the human interaction and navigation problems associated with complex semantic information spaces and describes a set of new visual interface approaches to address these problems. A key strategy is to leverage semantic knowledge represented within these information spaces to construct abstractions and views that will be meaningful to the human user. Human-computer interaction methodologies will guide the development and evaluation of these approaches, which will benefit deployed NASA systems and also apply to information systems based on the emerging Semantic Web.

  13. The World's Best Anglo-American Universities' Knowledge Management Attributes

    ERIC Educational Resources Information Center

    Tower, Greg; Plummer, Julie; Ridgewell, Brenda; Goforth, Emily; Tower, Spence

    2008-01-01

    Key knowledge management attributes of the world's most prestigious Anglo-American universities are surprisingly under-reported especially by best ranked USA institutions. This leads to calls for more transparency. (Contains 2 tables.)

  14. The World's Best Anglo-American Universities' Knowledge Management Attributes

    ERIC Educational Resources Information Center

    Tower, Greg; Plummer, Julie; Ridgewell, Brenda; Goforth, Emily; Tower, Spence

    2009-01-01

    Key knowledge management attributes of the world's most prestigious Anglo-American universities are surprisingly under-reported especially by best ranked USA institutions. This leads to calls for more transparency.

  15. Knowledge Producers or Knowledge Consumers? Argumentation and Decision Making about Environmental Management.

    ERIC Educational Resources Information Center

    Jimenez-Aleixandre, Maria-Pilar; Pereiro-Munoz, Cristina

    2002-01-01

    Describes a study involving decision making and argumentation in the context of wetland environmental management by 11th grade students. Focuses on knowledge and skills needed to reach a decision in socio-scientific contexts and to identify them in classroom discourse. Explores using relevant knowledge to understand and make decisions about a…

  16. Enhancing Knowledge Sharing and Research Collaboration among Academics: The Role of Knowledge Management

    ERIC Educational Resources Information Center

    Tan, Christine Nya-Ling

    2016-01-01

    Although knowledge sharing (KS) has been acknowledged as important, universities face issues that may hinder active sharing among its faculty members such as the absence of trust among its members or insufficient incentives rewarded to those who deserved it. The aim of this research is to focus on the impact of knowledge management (KM) factors in…

  17. Packaging and Unpackaging Knowledge in Mass Higher Education--A Knowledge Management Perspective

    ERIC Educational Resources Information Center

    Guzman, Gustavo; Trivelato, Luiz F.

    2011-01-01

    The progressive deployment of market-oriented regulatory frameworks in mass Higher Education Institutions (MHEI hereafter) triggered, in a wide variety of forms and degrees, the application of Knowledge Management principles in MHEI. This means the application of the knowledge "codification strategy", where the focus is on the economies of the…

  18. Semantic Service Design for Collaborative Business Processes in Internetworked Enterprises

    NASA Astrophysics Data System (ADS)

    Bianchini, Devis; Cappiello, Cinzia; de Antonellis, Valeria; Pernici, Barbara

    Modern collaborating enterprises can be seen as borderless organizations whose processes are dynamically transformed and integrated with the ones of their partners (Internetworked Enterprises, IE), thus enabling the design of collaborative business processes. The adoption of Semantic Web and service-oriented technologies for implementing collaboration in such distributed and heterogeneous environments promises significant benefits. IE can model their own processes independently by using the Software as a Service paradigm (SaaS). Each enterprise maintains a catalog of available services and these can be shared across IE and reused to build up complex collaborative processes. Moreover, each enterprise can adopt its own terminology and concepts to describe business processes and component services. This brings requirements to manage semantic heterogeneity in process descriptions which are distributed across different enterprise systems. To enable effective service-based collaboration, IEs have to standardize their process descriptions and model them through component services using the same approach and principles. For enabling collaborative business processes across IE, services should be designed following an homogeneous approach, possibly maintaining a uniform level of granularity. In the paper we propose an ontology-based semantic modeling approach apt to enrich and reconcile semantics of process descriptions to facilitate process knowledge management and to enable semantic service design (by discovery, reuse and integration of process elements/constructs). The approach brings together Semantic Web technologies, techniques in process modeling, ontology building and semantic matching in order to provide a comprehensive semantic modeling framework.

  19. Knowledge discovery based on experiential learning corporate culture management

    NASA Astrophysics Data System (ADS)

    Tu, Kai-Jan

    2014-10-01

    A good corporate culture based on humanistic theory can make the enterprise's management very effective, all enterprise's members have strong cohesion and centripetal force. With experiential learning model, the enterprise can establish an enthusiastic learning spirit corporate culture, have innovation ability to gain the positive knowledge growth effect, and to meet the fierce global marketing competition. A case study on Trend's corporate culture can offer the proof of industry knowledge growth rate equation as the contribution to experiential learning corporate culture management.

  20. The Digital Space Shuttle, 3D Graphics, and Knowledge Management

    NASA Technical Reports Server (NTRS)

    Gomez, Julian E.; Keller, Paul J.

    2003-01-01

    The Digital Shuttle is a knowledge management project that seeks to define symbiotic relationships between 3D graphics and formal knowledge representations (ontologies). 3D graphics provides geometric and visual content, in 2D and 3D CAD forms, and the capability to display systems knowledge. Because the data is so heterogeneous, and the interrelated data structures are complex, 3D graphics combined with ontologies provides mechanisms for navigating the data and visualizing relationships.

  1. Management Planning and Control: Supporting Knowledge-Intensive Organizations

    ERIC Educational Resources Information Center

    Herremans, Irene M.; Isaac, Robert G.

    2005-01-01

    Purpose: The purpose of this paper is to develop propositions for empirical validation regarding appropriate management planning and control systems (MPACS) in knowledge-intensive organizations. Design/methodology/approach: The propositions were developed from interviews with members of a knowledge-intensive virtual organization that is known for…

  2. Modeling Social Influences in a Knowledge Management Network

    ERIC Educational Resources Information Center

    Franco, Giacomo; Maresca, Paolo; Nota, Giancarlo

    2010-01-01

    The issue of knowledge management in a distributed network is receiving increasing attention from both scientific and industrial organizations. Research efforts in this field are motivated by the awareness that knowledge is more and more perceived as a primary economic resource and that, in the context of organization of organizations, the…

  3. Human Performance Technology and Knowledge Management: A Case Study

    ERIC Educational Resources Information Center

    Massey, Anne P.; Montoya-Weiss, Mitzi M.; O'Driscoll, Tony M.

    2005-01-01

    As organizations respond to competitive environments and strive to enhance performance, knowledge management (KM) has increasingly become a strategic activity. A KM strategy entails consciously helping people share and put knowledge into action. A key challenge is how to develop and implement KM solutions that provide performance support to…

  4. Evolution in clinical knowledge management strategy at Intermountain Healthcare.

    PubMed

    Hulse, Nathan C; Galland, Joel; Borsato, Emerson P

    2012-01-01

    In this manuscript, we present an overview of the clinical knowledge management strategy at Intermountain Healthcare in support of our electronic medical record systems. Intermountain first initiated efforts in developing a centralized enterprise knowledge repository in 2001. Applications developed, areas of emphasis served, and key areas of focus are presented. We also detail historical and current areas of emphasis, in response to business needs.

  5. Teachers' Professional Learning: The Role of Knowledge Management Practices

    ERIC Educational Resources Information Center

    Niehoff, Karissa

    2010-01-01

    This qualitative study explored the degree to which knowledge management strategies addressed teacher professional learning at the high school level. In the setting of a Connecticut public high school, interviews were conducted which explored teacher perceptions of knowledge sharing practices in the school and how those practices influenced their…

  6. How Knowledge Management Is Affected by Organizational Structure

    ERIC Educational Resources Information Center

    Mahmoudsalehi, Mehdi; Moradkhannejad, Roya; Safari, Khalil

    2012-01-01

    Purpose: Identifying the impact of organizational structure on knowledge management (KM) is the aim of this study, as well as recognizing the importance of each variable indicator in creating, sharing and utility of knowledge. Design/methodology/approach: For understanding relationships between the main variables (organizational structure-KM), the…

  7. The Academic Knowledge Management Model of Small Schools in Thailand

    ERIC Educational Resources Information Center

    Tumtuma, Chamnan; Chantarasombat, Chalard; Yeamsang, Theerawat

    2015-01-01

    The Academic Knowledge Management Model of Small Schools in Thailand was created by research and development. The quantitative and qualitative data were collected via the following steps: a participatory workshop meeting, the formation of a team according to knowledge base, field study, brainstorming, group discussion, activities carried out…

  8. Managing Knowledge in Internationalizing Universities through Foreign Assignments

    ERIC Educational Resources Information Center

    Boyle, Brendan; McDonnell, Anthony; Mitchell, Rebecca; Nicholas, Stephen

    2012-01-01

    Purpose: This article discusses the opportunities presented by the globalization of education and the role of knowledge management in successful global expansion. It seeks to explain why the tacit dimensions of the knowledge transferred during international education provision makes it difficult to provide educational services in offshore…

  9. Analysis of a Knowledge-Management-Based Process of Transferring Project Management Skills

    ERIC Educational Resources Information Center

    Ioi, Toshihiro; Ono, Masakazu; Ishii, Kota; Kato, Kazuhiko

    2012-01-01

    Purpose: The purpose of this paper is to propose a method for the transfer of knowledge and skills in project management (PM) based on techniques in knowledge management (KM). Design/methodology/approach: The literature contains studies on methods to extract experiential knowledge in PM, but few studies exist that focus on methods to convert…

  10. Knowledge Management in E-Learning Practices

    ERIC Educational Resources Information Center

    Yilmaz, Yucel

    2012-01-01

    Thanks to extension of IT in educational activities, the difficulties based on time and space are disappearing and the management and the execution of these activities can be implemented more effectively and beneficially. Even though there are significant developments about e-learning both in academic and professional platforms, there are some…

  11. Principals as Knowledge Managers in Partner Schools

    ERIC Educational Resources Information Center

    Gutierrez, Cindy; Field, Susan; Simmons, John; Basile, Carole G.

    2007-01-01

    Today's school leaders are searching for a way to give value to and effectively manage a school's intangible assets to create a more holistic picture of student success. Schools establish partnerships with community organizations towards this end and to ultimately impact student learning. Utilizing the framework of principals as "knowledge…

  12. Semantic Representation and Naming in Young Children.

    ERIC Educational Resources Information Center

    McGregor, Karla K.; Friedman, Rena M.; Reilly, Renee M.; Newman, Robyn M.

    2002-01-01

    Two experiments examined children's semantic representations and semantic naming errors. Results suggested that functional and physical properties are core aspects of object representations in the semantic lexicon and that the degree of semantic knowledge makes words more or less vulnerable to retrieval failure. Discussion focuses on the dynamic…

  13. Realising the knowledge spiral in healthcare: the role of data mining and knowledge management.

    PubMed

    Wickramasinghe, Nilmini; Bali, Rajeev K; Gibbons, M Chris; Schaffer, Jonathan

    2008-01-01

    Knowledge Management (KM) is an emerging business approach aimed at solving current problems such as competitiveness and the need to innovate which are faced by businesses today. The premise for the need for KM is based on a paradigm shift in the business environment where knowledge is central to organizational performance . Organizations trying to embrace KM have many tools, techniques and strategies at their disposal. A vital technique in KM is data mining which enables critical knowledge to be gained from the analysis of large amounts of data and information. The healthcare industry is a very information rich industry. The collecting of data and information permeate most, if not all areas of this industry; however, the healthcare industry has yet to fully embrace KM, let alone the new evolving techniques of data mining. In this paper, we demonstrate the ubiquitous benefits of data mining and KM to healthcare by highlighting their potential to enable and facilitate superior clinical practice and administrative management to ensue. Specifically, we show how data mining can realize the knowledge spiral by effecting the four key transformations identified by Nonaka of turning: (1) existing explicit knowledge to new explicit knowledge, (2) existing explicit knowledge to new tacit knowledge, (3) existing tacit knowledge to new explicit knowledge and (4) existing tacit knowledge to new tacit knowledge. This is done through the establishment of theoretical models that respectively identify the function of the knowledge spiral and the powers of data mining, both exploratory and predictive, in the knowledge discovery process. Our models are then applied to a healthcare data set to demonstrate the potential of this approach as well as the implications of such an approach to the clinical and administrative aspects of healthcare. Further, we demonstrate how these techniques can facilitate hospitals to address the six healthcare quality dimensions identified by the Committee

  14. Sleep bruxism: Current knowledge and contemporary management.

    PubMed

    Yap, Adrian U; Chua, Ai Ping

    2016-01-01

    Bruxism is defined as the repetitive jaw muscle activity characterized by the clenching or grinding of teeth. It can be categorized into awake and sleep bruxism (SB). Frequent SB occurs in about 13% of adults. The exact etiology of SB is still unknown and probably multifactorial in nature. Current literature suggests that SB is regulated centrally (pathophysiological and psychosocial factors) and not peripherally (morphological factors). Cited consequences of SB include temporomandibular disorders, headaches, tooth wear/fracture, implant, and other restoration failure. Chairside recognition of SB involves the use of subjective reports, clinical examinations, and trial oral splints. Definitive diagnosis of SB can only be achieved using electrophysiological tools. Pharmacological, psychological, and dental strategies had been employed to manage SB. There is at present, no effective treatment that "cures" or "stops" SB permanently. Management is usually directed toward tooth/restoration protection, reduction of bruxism activity, and pain relief.

  15. Sleep bruxism: Current knowledge and contemporary management

    PubMed Central

    Yap, Adrian U.; Chua, Ai Ping

    2016-01-01

    Bruxism is defined as the repetitive jaw muscle activity characterized by the clenching or grinding of teeth. It can be categorized into awake and sleep bruxism (SB). Frequent SB occurs in about 13% of adults. The exact etiology of SB is still unknown and probably multifactorial in nature. Current literature suggests that SB is regulated centrally (pathophysiological and psychosocial factors) and not peripherally (morphological factors). Cited consequences of SB include temporomandibular disorders, headaches, tooth wear/fracture, implant, and other restoration failure. Chairside recognition of SB involves the use of subjective reports, clinical examinations, and trial oral splints. Definitive diagnosis of SB can only be achieved using electrophysiological tools. Pharmacological, psychological, and dental strategies had been employed to manage SB. There is at present, no effective treatment that “cures” or “stops” SB permanently. Management is usually directed toward tooth/restoration protection, reduction of bruxism activity, and pain relief. PMID:27656052

  16. [Knowledge management system for laboratory work and clinical decision support].

    PubMed

    Inada, Masanori; Sato, Mayumi; Yoneyama, Akiko

    2011-05-01

    This paper discusses a knowledge management system for clinical laboratories. In the clinical laboratory of Toranomon Hospital, we receive about 20 questions relevant to laboratory tests per day from medical doctors or co-medical staff. These questions mostly involve the essence to appropriately accomplish laboratory tests. We have to answer them carefully and suitably because an incorrect answer may cause a medical accident. Up to now, no method has been in place to achieve a rapid response and standardized answers. For this reason, the laboratory staff have responded to various questions based on their individual knowledge. We began to develop a knowledge management system to promote the knowledge of staff working for the laboratory. This system is a type of knowledge base for assisting the work, such as inquiry management, laboratory consultation, process management, and clinical support. It consists of several functions: guiding laboratory test information, managing inquiries from medical staff, reporting results of patient consultation, distributing laboratory staffs notes, and recording guidelines for laboratory medicine. The laboratory test information guide has 2,000 records of medical test information registered in the database with flexible retrieval. The inquiry management tool provides a methos to record all questions, answer easily, and retrieve cases. It helps staff to respond appropriately in a short period of time. The consulting report system treats patients' claims regarding medical tests. The laboratory staffs notes enter a file management system so they can be accessed to aid in clinical support. Knowledge sharing using this function can achieve the transition from individual to organizational learning. Storing guidelines for laboratory medicine will support EBM. Finally, it is expected that this system will support intellectual activity concerning laboratory work and contribute to the practice of knowledge management for clinical work support.

  17. An Analysis of Knowledge Management Mechanisms in Healthcare Portals

    ERIC Educational Resources Information Center

    Lee, Chei Sian; Goh, Dion Hoe-Lian; Chua, Alton Y. K.

    2010-01-01

    Healthcare portals are becoming increasingly popular with Internet users since they play an important role in supporting interaction between individuals and healthcare organizations with a Web presence. Additionally, many of these organizations make use of knowledge management mechanisms on their healthcare portals to manage the abundance of…

  18. Knowledge Management in Sensor Enabled Online Services

    NASA Astrophysics Data System (ADS)

    Smyth, Dominick; Cappellari, Paolo; Roantree, Mark

    The Future Internet, has as its vision, the development of improved features and usability for services, applications and content. In many cases, services can be provided automatically through the use of monitors or sensors. This means web generated sensor data becoming available not only to the companies that own the sensors but also to the domain users who generate the data and to information and knowledge workers who harvest the output. The goal is improving the service through better usage of the information provided by the service. Applications and services vary from climate, traffic, health and sports event monitoring. In this paper, we present the WSW system that harvests web sensor data to provide additional and, in some cases, more accurate information using an analysis of both live and warehoused information.

  19. Legacy2Drupal - Conversion of an existing oceanographic relational database to a semantically enabled Drupal content management system

    NASA Astrophysics Data System (ADS)

    Maffei, A. R.; Chandler, C. L.; Work, T.; Allen, J.; Groman, R. C.; Fox, P. A.

    2009-12-01

    Content Management Systems (CMSs) provide powerful features that can be of use to oceanographic (and other geo-science) data managers. However, in many instances, geo-science data management offices have previously designed customized schemas for their metadata. The WHOI Ocean Informatics initiative and the NSF funded Biological Chemical and Biological Data Management Office (BCO-DMO) have jointly sponsored a project to port an existing, relational database containing oceanographic metadata, along with an existing interface coded in Cold Fusion middleware, to a Drupal6 Content Management System. The goal was to translate all the existing database tables, input forms, website reports, and other features present in the existing system to employ Drupal CMS features. The replacement features include Drupal content types, CCK node-reference fields, themes, RDB, SPARQL, workflow, and a number of other supporting modules. Strategic use of some Drupal6 CMS features enables three separate but complementary interfaces that provide access to oceanographic research metadata via the MySQL database: 1) a Drupal6-powered front-end; 2) a standard SQL port (used to provide a Mapserver interface to the metadata and data; and 3) a SPARQL port (feeding a new faceted search capability being developed). Future plans include the creation of science ontologies, by scientist/technologist teams, that will drive semantically-enabled faceted search capabilities planned for the site. Incorporation of semantic technologies included in the future Drupal 7 core release is also anticipated. Using a public domain CMS as opposed to proprietary middleware, and taking advantage of the many features of Drupal 6 that are designed to support semantically-enabled interfaces will help prepare the BCO-DMO database for interoperability with other ecosystem databases.

  20. Knowledge Capture and Management for Space Flight Systems

    NASA Technical Reports Server (NTRS)

    Goodman, John L.

    2005-01-01

    The incorporation of knowledge capture and knowledge management strategies early in the development phase of an exploration program is necessary for safe and successful missions of human and robotic exploration vehicles over the life of a program. Following the transition from the development to the flight phase, loss of underlying theory and rationale governing design and requirements occur through a number of mechanisms. This degrades the quality of engineering work resulting in increased life cycle costs and risk to mission success and safety of flight. Due to budget constraints, concerned personnel in legacy programs often have to improvise methods for knowledge capture and management using existing, but often sub-optimal, information technology and archival resources. Application of advanced information technology to perform knowledge capture and management would be most effective if program wide requirements are defined at the beginning of a program.

  1. Biomedical semantics in the Semantic Web.

    PubMed

    Splendiani, Andrea; Burger, Albert; Paschke, Adrian; Romano, Paolo; Marshall, M Scott

    2011-03-07

    The Semantic Web offers an ideal platform for representing and linking biomedical information, which is a prerequisite for the development and application of analytical tools to address problems in data-intensive areas such as systems biology and translational medicine. As for any new paradigm, the adoption of the Semantic Web offers opportunities and poses questions and challenges to the life sciences scientific community: which technologies in the Semantic Web stack will be more beneficial for the life sciences? Is biomedical information too complex to benefit from simple interlinked representations? What are the implications of adopting a new paradigm for knowledge representation? What are the incentives for the adoption of the Semantic Web, and who are the facilitators? Is there going to be a Semantic Web revolution in the life sciences?We report here a few reflections on these questions, following discussions at the SWAT4LS (Semantic Web Applications and Tools for Life Sciences) workshop series, of which this Journal of Biomedical Semantics special issue presents selected papers from the 2009 edition, held in Amsterdam on November 20th.

  2. Assessing local knowledge use in agroforestry management with cognitive maps.

    PubMed

    Isaac, Marney E; Dawoe, Evans; Sieciechowicz, Krystyna

    2009-06-01

    Small-holder farmers often develop adaptable agroforestry management techniques to improve and diversify crop production. In the cocoa growing region of Ghana, local knowledge on such farm management holds a noteworthy role in the overall farm development. The documentation and analysis of such knowledge use in cocoa agroforests may afford an applicable framework to determine mechanisms driving farmer preference and indicators in farm management. This study employed 12 in-depth farmer interviews regarding variables in farm management as a unit of analysis and utilized cognitive mapping as a qualitative method of analysis. Our objectives were (1) to illustrate and describe agroforestry management variables and associated farm practices, (2) to determine the scope of decision making of individual farmers, and (3) to investigate the suitability of cognitive mapping as a tool for assessing local knowledge use. Results from the cognitive maps revealed an average of 16 +/- 3 variables and 19 +/- 3 links between management variables in the farmer cognitive maps. Farmer use of advantageous ecological processes was highly central to farm management (48% of all variables), particularly manipulation of organic matter, shade and food crop establishment, and maintenance of a tree stratum as the most common, highly linked variables. Over 85% of variables included bidirectional arrows, interpreted as farm management practices dominated by controllable factors, insofar as farmers indicated an ability to alter most farm characteristics. Local knowledge use on cocoa production revealed detailed indicators for site evaluation, thus affecting farm preparation and management. Our findings suggest that amid multisourced information under conditions of uncertainty, strategies for adaptable agroforestry management should integrate existing and localized management frameworks and that cognitive mapping provides a tool-based approach to advance such a management support system.

  3. Assessing Local Knowledge Use in Agroforestry Management with Cognitive Maps

    NASA Astrophysics Data System (ADS)

    Isaac, Marney E.; Dawoe, Evans; Sieciechowicz, Krystyna

    2009-06-01

    Small-holder farmers often develop adaptable agroforestry management techniques to improve and diversify crop production. In the cocoa growing region of Ghana, local knowledge on such farm management holds a noteworthy role in the overall farm development. The documentation and analysis of such knowledge use in cocoa agroforests may afford an applicable framework to determine mechanisms driving farmer preference and indicators in farm management. This study employed 12 in-depth farmer interviews regarding variables in farm management as a unit of analysis and utilized cognitive mapping as a qualitative method of analysis. Our objectives were (1) to illustrate and describe agroforestry management variables and associated farm practices, (2) to determine the scope of decision making of individual farmers, and (3) to investigate the suitability of cognitive mapping as a tool for assessing local knowledge use. Results from the cognitive maps revealed an average of 16 ± 3 variables and 19 ± 3 links between management variables in the farmer cognitive maps. Farmer use of advantageous ecological processes was highly central to farm management (48% of all variables), particularly manipulation of organic matter, shade and food crop establishment, and maintenance of a tree stratum as the most common, highly linked variables. Over 85% of variables included bidirectional arrows, interpreted as farm management practices dominated by controllable factors, insofar as farmers indicated an ability to alter most farm characteristics. Local knowledge use on cocoa production revealed detailed indicators for site evaluation, thus affecting farm preparation and management. Our findings suggest that amid multisourced information under conditions of uncertainty, strategies for adaptable agroforestry management should integrate existing and localized management frameworks and that cognitive mapping provides a tool-based approach to advance such a management support system.

  4. Knowledge-Based Production Management: Approaches, Results and Prospects

    DTIC Science & Technology

    1991-12-01

    In this paper we provide an overview of research in the field of knowledge-based production management . We begin by examining the important sources...of decision-making difficulty in practical production management domains, discussing the requirements implied by each with respect to the development...of effective production management tools, and identifying the general opportunities in this regard provided by AI-based technology. We then categorize

  5. Knowledge Management in Naval Sea Systems Command: A Structure for Performance Driven Knowledge Management Initiative

    DTIC Science & Technology

    2002-09-01

    or transformations) described by the Nonaka knowledge spiral. Socialization is the knowledge transfer from tacit to tacit. This is the person-to...with IT is sure to fail [Ref. 34, 44, 45, 47]. Three of the four quadrants in the Nonaka knowledge spiral are centered on people. IT only shines

  6. Semantic Entity-Component State Management Techniques to Enhance Software Quality for Multimodal VR-Systems.

    PubMed

    Fischbach, Martin; Wiebusch, Dennis; Latoschik, Marc Erich

    2017-04-01

    Modularity, modifiability, reusability, and API usability are important software qualities that determine the maintainability of software architectures. Virtual, Augmented, and Mixed Reality (VR, AR, MR) systems, modern computer games, as well as interactive human-robot systems often include various dedicated input-, output-, and processing subsystems. These subsystems collectively maintain a real-time simulation of a coherent application state. The resulting interdependencies between individual state representations, mutual state access, overall synchronization, and flow of control implies a conceptual close coupling whereas software quality asks for a decoupling to develop maintainable solutions. This article presents five semantics-based software techniques that address this contradiction: Semantic grounding, code from semantics, grounded actions, semantic queries, and decoupling by semantics. These techniques are applied to extend the well-established entity-component-system (ECS) pattern to overcome some of this pattern's deficits with respect to the implied state access. A walk-through of central implementation aspects of a multimodal (speech and gesture) VR-interface is used to highlight the techniques' benefits. This use-case is chosen as a prototypical example of complex architectures with multiple interacting subsystems found in many VR, AR and MR architectures. Finally, implementation hints are given, lessons learned regarding maintainability pointed-out, and performance implications discussed.

  7. A Conceptual Framework for Examining Knowledge Management in Higher Education Contexts

    ERIC Educational Resources Information Center

    Lee, Hae-Young; Roth, Gene L.

    2009-01-01

    Knowledge management is an on-going process that involves varied activities: diagnosis, design, and implementation of knowledge creation, knowledge transfer, and knowledge sharing. The primary goal of knowledge management, like other management theories or models, is to identify and leverage organizational and individual knowledge for the…

  8. Marine Planning and Service Platform: specific ontology based semantic search engine serving data management and sustainable development

    NASA Astrophysics Data System (ADS)

    Manzella, Giuseppe M. R.; Bartolini, Andrea; Bustaffa, Franco; D'Angelo, Paolo; De Mattei, Maurizio; Frontini, Francesca; Maltese, Maurizio; Medone, Daniele; Monachini, Monica; Novellino, Antonio; Spada, Andrea

    2016-04-01

    The MAPS (Marine Planning and Service Platform) project is aiming at building a computer platform supporting a Marine Information and Knowledge System. One of the main objective of the project is to develop a repository that should gather, classify and structure marine scientific literature and data thus guaranteeing their accessibility to researchers and institutions by means of standard protocols. In oceanography the cost related to data collection is very high and the new paradigm is based on the concept to collect once and re-use many times (for re-analysis, marine environment assessment, studies on trends, etc). This concept requires the access to quality controlled data and to information that is provided in reports (grey literature) and/or in relevant scientific literature. Hence, creation of new technology is needed by integrating several disciplines such as data management, information systems, knowledge management. In one of the most important EC projects on data management, namely SeaDataNet (www.seadatanet.org), an initial example of knowledge management is provided through the Common Data Index, that is providing links to data and (eventually) to papers. There are efforts to develop search engines to find author's contributions to scientific literature or publications. This implies the use of persistent identifiers (such as DOI), as is done in ORCID. However very few efforts are dedicated to link publications to the data cited or used or that can be of importance for the published studies. This is the objective of MAPS. Full-text technologies are often unsuccessful since they assume the presence of specific keywords in the text; in order to fix this problem, the MAPS project suggests to use different semantic technologies for retrieving the text and data and thus getting much more complying results. The main parts of our design of the search engine are: • Syntactic parser - This module is responsible for the extraction of "rich words" from the text

  9. Enhancing medical database semantics.

    PubMed Central

    Leão, B. de F.; Pavan, A.

    1995-01-01

    Medical Databases deal with dynamic, heterogeneous and fuzzy data. The modeling of such complex domain demands powerful semantic data modeling methodologies. This paper describes GSM-Explorer a Case Tool that allows for the creation of relational databases using semantic data modeling techniques. GSM Explorer fully incorporates the Generic Semantic Data Model-GSM enabling knowledge engineers to model the application domain with the abstraction mechanisms of generalization/specialization, association and aggregation. The tool generates a structure that implements persistent database-objects through the automatic generation of customized SQL ANSI scripts that sustain the semantics defined in the higher lever. This paper emphasizes the system architecture and the mapping of the semantic model into relational tables. The present status of the project and its further developments are discussed in the Conclusions. PMID:8563288

  10. Business and Practice Management Knowledge Deficiencies in Graduating Orthopedic Residents.

    PubMed

    Miller, D Joshua; Throckmorton, Thomas W; Azar, Frederick M; Beaty, James H; Canale, S Terry; Richardson, David R

    2015-10-01

    We conducted a study to determine the general level of knowledge that orthopedic residents have on business and practice management topics at graduation and to evaluate the level of knowledge that practicing orthopedic surgeons need in order to function effectively in a medical practice. Residency graduates from a single training program were asked to complete a survey that gathered demographic information and had surgeons rate their understanding of 9 general business and practice management skills and the importance of these skills in their current practice situation. The amount of necessary business knowledge they lacked at graduation was defined as a functional knowledge deficiency (FKD) and was calculated as the difference between the reported importance of a topic in current practice and the level of understanding of that topic at graduation (larger FKD indicates greater deficiency). Those in physician-managed practices reported significantly higher levels of understanding of economic analytical tools than those in nonphysician-managed practices. There were no other statistically significant differences among groups. Hospital-employed physicians had the lowest overall FKD (4.0), followed by those in academic practices (5.1) and private practices (5.9). Graduating orthopedic surgeons appear to be inadequately prepared to effectively manage business issues in their practices, as evidenced by the low overall knowledge levels and high FKDs.

  11. GS3: A Knowledge Management Architecture for Collaborative Geologic Sequestration Modeling

    SciTech Connect

    Gorton, Ian; Black, Gary D.; Schuchardt, Karen L.; Sivaramakrishnan, Chandrika; Wurstner, Signe K.; Hui, Peter SY

    2010-01-10

    Modern scientific enterprises are inherently knowledge-intensive. In general, scientific studies in domains such as groundwater, climate, and other environmental modeling as well as fundamental research in chemistry, physics, and biology require the acquisition and manipulation of large amounts of experimental and field data in order to create inputs for large-scale computational simulations. The results of these simulations must then be analyzed, leading to refinements of inputs and models and further simulations. In this paper we describe our efforts in creating a knowledge management platform to support collaborative, wide-scale studies in the area of geologic sequestration. The platform, known as GS3 (Geologic Sequestration Software Suite), exploits and integrates off-the-shelf software components including semantic wikis, content management systems and open source middleware to create the core architecture. We then extend the wiki environment to support the capture of provenance, the ability to incorporate various analysis tools, and the ability to launch simulations on supercomputers. The paper describes the key components of GS3 and demonstrates its use through illustrative examples. We conclude by assessing the suitability of our approach for geologic sequestration modeling and generalization to other scientific problem domains

  12. Knowledge-based system for flight information management. Thesis

    NASA Technical Reports Server (NTRS)

    Ricks, Wendell R.

    1990-01-01

    The use of knowledge-based system (KBS) architectures to manage information on the primary flight display (PFD) of commercial aircraft is described. The PFD information management strategy used tailored the information on the PFD to the tasks the pilot performed. The KBS design and implementation of the task-tailored PFD information management application is described. The knowledge acquisition and subsequent system design of a flight-phase-detection KBS is also described. The flight-phase output of this KBS was used as input to the task-tailored PFD information management KBS. The implementation and integration of this KBS with existing aircraft systems and the other KBS is described. The flight tests are examined of both KBS's, collectively called the Task-Tailored Flight Information Manager (TTFIM), which verified their implementation and integration, and validated the software engineering advantages of the KBS approach in an operational environment.

  13. Information tables with neighborhood semantics

    NASA Astrophysics Data System (ADS)

    Yao, Yiyu

    2000-04-01

    Information tables provide a convenient and useful tool for representing a set of objects using a group of attributes. This notion is enriched by introducing neighborhood systems on attribute values. The neighborhood systems represent the semantics relationships between, and knowledge about, attribute values. With added semantics, neighborhood based information tables may provide a more general framework for knowledge discovery, data mining, and information retrieval.

  14. How to assess abstract conceptual knowledge: construction, standardization and validation of a new battery of semantic memory tests.

    PubMed

    Della Rosa, Pasquale Anthony; Catricalà, Eleonora; De Battisti, Silvia; Vinson, David; Vigliocco, Gabriela; Cappa, Stefano F

    2014-01-01

    The neuropsychological investigation of semantic memory has mainly focused on concrete concepts, while abstract concepts have been relatively neglected. We describe a new battery for assessing abstract concepts in brain-damaged patients. The battery includes three different tests: an association task, a multiplechoice naming-to-description task and a sentence completion task. The three tasks are based on the same 40 stimuli belonging to different categories of abstract concepts and they are tightly controlled for variables that can account for quantitative differences between abstract concepts (i.e. concreteness, imageability, context availability, familiarity, age of acquisition, mode of acquisition, emotional valence and arousal). The three tasks showed high reliability. Normative data were collected from 108 healthy Italian adults. To assess its sensitivity, the battery was administered to 13 patients with probable Alzheimer's disease who performed worse than matched controls. Significant correlations were also found between the tests and other semantic memory tests, supporting the validity of the battery.

  15. The Phenomenon of Knowledge Management: What Does it Mean to the Information Profession?

    ERIC Educational Resources Information Center

    Broadbent, Marianne

    1998-01-01

    Discusses how knowledge management is developing as a specific and planned management practice in the information profession. Explains the first steps in managing knowledge, managing people as assets, and structure and processes. Gives examples of firms which overtly practice knowledge management and explores the nature of knowledge and knowledge…

  16. Managing Project Landscapes in Knowledge-Based Enterprises

    NASA Astrophysics Data System (ADS)

    Stantchev, Vladimir; Franke, Marc Roman

    Knowledge-based enterprises are typically conducting a large number of research and development projects simultaneously. This is a particularly challenging task in complex and diverse project landscapes. Project Portfolio Management (PPM) can be a viable framework for knowledge and innovation management in such landscapes. A standardized process with defined functions such as project data repository, project assessment, selection, reporting, and portfolio reevaluation can serve as a starting point. In this work we discuss the benefits a multidimensional evaluation framework can provide for knowledge-based enterprises. Furthermore, we describe a knowledge and learning strategy and process in the context of PPM and evaluate their practical applicability at different stages of the PPM process.

  17. Converging Evidence from fMRI and Aphasia that the Left Temporoparietal Cortex has an Essential Role in Representing Abstract Semantic Knowledge

    PubMed Central

    Skipper-Kallal, L.M.; Mirman, D.; Olson, I.R.

    2015-01-01

    While the neural underpinnings of concrete semantic knowledge have been studied extensively, abstract conceptual knowledge remains enigmatic. We present two experiments that provide converging evidence for the involvement of key regions in the temporoparietal cortex (TPC) in abstract semantic representations. First, we carried out a neuroimaging study in which participants thought deeply about abstract and concrete words. A functional connectivity analysis revealed a cortical network, including portions of the TPC, that showed coordinated activity specific to abstract word processing. In a second experiment, we tested participants with lesions involving the left TPC on a spoken-to-written word matching task using abstract and concrete target words presented in arrays of related or unrelated distractors. The results revealed an interaction between concreteness and relatedness: participants with TPC lesions were significantly less accurate for abstract words presented in related arrays than in unrelated arrays, but exhibited no effect of relatedness for concrete words. These results confirm that the TPC plays an important role in abstract concept representation and that it is part of a larger network of functionally cooperative regions needed for abstract word processing. PMID:26026619

  18. Nurses' knowledge of heart failure self-management.

    PubMed

    Willette, Elizabeth W; Surrells, Danielle; Davis, Leslie L; Bush, Charles T

    2007-01-01

    Heart failure (HF) is increasing in prevalence. Patient education is essential and is included in both ambulatory and hospital performance measures used to ensure quality care. Nurses are often the primary providers of education to patients with HF. This study assessed nurses' knowledge of basic principles of HF self-management. The study surveyed 49 nurses who regularly provided care to patients with HF at a hospital in the southeastern United States. A 20-item, true/false survey was administered to participants. Mean HF self-management knowledge score was 15.97 (79.85% correct). Consistent with previous studies, nurses scored lowest on knowledge related to transient dizziness (16.3% answered correctly), daily weight monitoring (36.2% answered correctly), and asymptomatic hypotension (58.3% answered correctly). Findings confirm previous work suggesting that nurses may not be adequately prepared to educate patients with HF about self-management.

  19. Design of Knowledge Management System for Diabetic Complication Diseases

    NASA Astrophysics Data System (ADS)

    Fiarni, Cut

    2017-01-01

    This paper examines how to develop a Model for Knowledge Management System (KMS) for diabetes complication diseases. People with diabetes have a higher risk of developing a series of serious health problems. Each patient has different condition that could lead to different disease and health problem. But, with the right information, patient could have early detection so the health risk could be minimized and avoided. Hence, the objective of this research is to propose a conceptual framework that integrates social network model, Knowledge Management activities, and content based reasoning (CBR) for designing such a diabetes health and complication disease KMS. The framework indicates that the critical knowledge management activities are in the process to find similar case and the index table for algorithm to fit the framework for the social media. With this framework, KMS developers can work with healthcare provider to easily identify the suitable IT associated with the CBR process when developing a diabetes KMS.

  20. Knowledge Management: A Model to Enhance Combatant Command Effectiveness

    DTIC Science & Technology

    2011-02-15

    principle that says that the integration of knowledge management and organizational learning creates more value to an organization than either one...the total knowledge required to lead the organization.7 Peter Senge, one of the leading scholars in organizational learning has defined five...disciplines are the essential elements of any learning organizations and the application of organizational learning .9 Learning organizations use forecasting

  1. Evolution in Clinical Knowledge Management Strategy at Intermountain Healthcare

    PubMed Central

    Hulse, Nathan C.; Galland, Joel; Borsato, Emerson P.

    2012-01-01

    In this manuscript, we present an overview of the clinical knowledge management strategy at Intermountain Healthcare in support of our electronic medical record systems. Intermountain first initiated efforts in developing a centralized enterprise knowledge repository in 2001. Applications developed, areas of emphasis served, and key areas of focus are presented. We also detail historical and current areas of emphasis, in response to business needs. PMID:23304309

  2. Key Issues in the Application of Knowledge Management in Education

    DTIC Science & Technology

    2005-03-01

    Organizational Culture Although not a KM tool per se, organizational culture can play a big role in the success of a KM system ( Coakes , 2004...results ( Coakes , 2004; Brown & Duguid, 2002). This contradicts the ideology of most workers who were 17 “raised” to believe that knowledge should... Coakes , E. “Knowledge Management – A Primer.” Communications of the Association for Information Systems, 14: 406-489 (2004). Cohen, J. “A

  3. Semantic Sensor Web

    NASA Astrophysics Data System (ADS)

    Sheth, A.; Henson, C.; Thirunarayan, K.

    2008-12-01

    Sensors are distributed across the globe leading to an avalanche of data about our environment. It is possible today to utilize networks of sensors to detect and identify a multitude of observations, from simple phenomena to complex events and situations. The lack of integration and communication between these networks, however, often isolates important data streams and intensifies the existing problem of too much data and not enough knowledge. With a view to addressing this problem, the Semantic Sensor Web (SSW) [1] proposes that sensor data be annotated with semantic metadata that will both increase interoperability and provide contextual information essential for situational knowledge. Kno.e.sis Center's approach to SSW is an evolutionary one. It adds semantic annotations to the existing standard sensor languages of the Sensor Web Enablement (SWE) defined by OGC. These annotations enhance primarily syntactic XML-based descriptions in OGC's SWE languages with microformats, and W3C's Semantic Web languages- RDF and OWL. In association with semantic annotation and semantic web capabilities including ontologies and rules, SSW supports interoperability, analysis and reasoning over heterogeneous multi-modal sensor data. In this presentation, we will also demonstrate a mashup with support for complex spatio-temporal-thematic queries [2] and semantic analysis that utilize semantic annotations, multiple ontologies and rules. It uses existing services (e.g., GoogleMap) and semantics enhanced SWE's Sensor Observation Service (SOS) over weather and road condition data from various sensors that are part of Ohio's transportation network. Our upcoming plans are to demonstrate end to end (heterogeneous sensor to application) semantics support and study scalability of SSW involving thousands of sensors to about a billion triples. Keywords: Semantic Sensor Web, Spatiotemporal thematic queries, Semantic Web Enablement, Sensor Observation Service [1] Amit Sheth, Cory Henson, Satya

  4. A knowledge continuity management program for the energy, infrastructure and knowledge systems center, Sandia National Laboratories.

    SciTech Connect

    Menicucci, David F.

    2006-07-01

    A growing recognition exists in companies worldwide that, when employees leave, they take with them valuable knowledge that is difficult and expensive to recreate. The concern is now particularly acute as the large ''baby boomer'' generation is reaching retirement age. A new field of science, Knowledge Continuity Management (KCM), is designed to capture and catalog the acquired knowledge and wisdom from experience of these employees before they leave. The KCM concept is in the final stages of being adopted by the Energy, Infrastructure, and Knowledge Systems Center and a program is being applied that should produce significant annual cost savings. This report discusses how the Center can use KCM to mitigate knowledge loss from employee departures, including a concise description of a proposed plan tailored to the Center's specific needs and resources.

  5. Exploiting Recurring Structure in a Semantic Network

    NASA Technical Reports Server (NTRS)

    Wolfe, Shawn R.; Keller, Richard M.

    2004-01-01

    With the growing popularity of the Semantic Web, an increasing amount of information is becoming available in machine interpretable, semantically structured networks. Within these semantic networks are recurring structures that could be mined by existing or novel knowledge discovery methods. The mining of these semantic structures represents an interesting area that focuses on mining both for and from the Semantic Web, with surprising applicability to problems confronting the developers of Semantic Web applications. In this paper, we present representative examples of recurring structures and show how these structures could be used to increase the utility of a semantic repository deployed at NASA.

  6. Office of Nuclear Energy Knowledge Management Program Situational Analysis Report

    SciTech Connect

    Kimberlyn C. Mousseau

    2011-12-01

    Knowledge management (KM) has been a high priority for the Department of Energy (DOE) Office of Nuclear Energy (NE) for the past several years. NE Programs are moving toward well-established knowledge management practices and a formal knowledge management program has been established. Knowledge management is being practiced to some level within each of the NE programs. Although it continues to evolve as NE programs evolve, a formal strategic plan that guides the implementation of KM has been developed. Despite the acceptance of KM within DOE NE, more work is necessary before the NE KM program can be considered fully successful. Per Dr. David J. Skyrme[1], an organization typically moves through the following evolutionary phases: (1) Ad-hoc - KM is being practiced to some level in some parts of the organization; (2) Formal - KM is established as a formal project or program; (3) Expanding - the use of KM as a discipline grows in practice across different parts of the organization; (4) Cohesive - there is a degree of coordination of KM; (5) Integrated - there are formal standards and approaches that give every individual access to most organizational knowledge through common interfaces; and (6) Embedded - KM is part-and-parcel of everyday tasks; it blends seamlessly into the background. According to the evolutionary phases, the NE KM program is operating at the two lower levels, Ad-hoc and Formal. Although KM is being practiced to some level, it is not being practiced in a consistent manner across the NE programs. To be fully successful, more emphasis must be placed on establishing KM standards and processes for collecting, organizing, sharing and accessing NE knowledge. Existing knowledge needs to be prioritized and gathered on a routine basis, its existence formally recorded in a knowledge inventory. Governance to ensure the quality of the knowledge being used must also be considered. For easy retrieval, knowledge must be organized according to a taxonomy that

  7. Managing and Securing Critical Infrastructure - A Semantic Policy and Trust Driven Approach

    DTIC Science & Technology

    2011-08-01

    at the lowest level detail. The resulting configurations have no usable semantics associated with them, and consequently cannot be verified for...Conference on Data Engineering Workshops (ICDEW’06), (Washington, DC, USA), p. 77, IEEE Computer Society, 2006. [33] S. Kent, C. Lynn, and K. Seo , “Secure

  8. Category-specific semantic deficits in Alzheimer's disease: a semantic priming study.

    PubMed

    Hernández, Mireia; Costa, Albert; Juncadella, Montserrat; Sebastián-Gallés, Núria; Reñé, Ramón

    2008-03-07

    Category-specific semantic deficits in individuals suffering brain damage after relatively focal lesions provide an important source of evidence about the organization of semantic knowledge. However, whether Alzheimer's disease (AD), in which the brain damage is more widespread, affects semantic categories to a different extent is still controversial. In the present study, we assess this issue by means of the semantic priming technique. AD patients with a mild impairment of their semantic knowledge showed comparable priming effects to that of controls for the categories of animals and artifacts. Interestingly, however, patients with a moderate impairment of their semantic knowledge showed a normal priming effect for animals but a very reduced priming effect (if any) for artifacts. These results reveal that AD may affect the semantic knowledge of different semantic categories to a different extent. The implications of this observation for current theoretical accounts of semantic representation in the brain are discussed.

  9. Semantic querying of relational data for clinical intelligence: a semantic web services-based approach

    PubMed Central

    2013-01-01

    Background Clinical Intelligence, as a research and engineering discipline, is dedicated to the development of tools for data analysis for the purposes of clinical research, surveillance, and effective health care management. Self-service ad hoc querying of clinical data is one desirable type of functionality. Since most of the data are currently stored in relational or similar form, ad hoc querying is problematic as it requires specialised technical skills and the knowledge of particular data schemas. Results A possible solution is semantic querying where the user formulates queries in terms of domain ontologies that are much easier to navigate and comprehend than data schemas. In this article, we are exploring the possibility of using SADI Semantic Web services for semantic querying of clinical data. We have developed a prototype of a semantic querying infrastructure for the surveillance of, and research on, hospital-acquired infections. Conclusions Our results suggest that SADI can support ad-hoc, self-service, semantic queries of relational data in a Clinical Intelligence context. The use of SADI compares favourably with approaches based on declarative semantic mappings from data schemas to ontologies, such as query rewriting and RDFizing by materialisation, because it can easily cope with situations when (i) some computation is required to turn relational data into RDF or OWL, e.g., to implement temporal reasoning, or (ii) integration with external data sources is necessary. PMID:23497556

  10. Instructional Design as Knowledge Management: A Knowledge-in-Practice Approach to Choosing Instructional Methods

    ERIC Educational Resources Information Center

    McIver, Derrick; Fitzsimmons, Stacey; Flanagan, David

    2016-01-01

    Decisions about instructional methods are becoming more complex, with options ranging from problem sets to experiential service-learning projects. However, instructors not trained in instructional design may make these important decisions based on convenience, comfort, or trends. Instead, this article draws on the knowledge management literature…

  11. A Foundation for Understanding Knowledge Sharing: Organizational Culture, Informal Workplace Learning, Performance Support, and Knowledge Management

    ERIC Educational Resources Information Center

    Caruso, Shirley J.

    2017-01-01

    This paper serves as an exploration into some of the ways in which organizations can promote, capture, share, and manage the valuable knowledge of their employees. The problem is that employees typically do not share valuable information, skills, or expertise with other employees or with the entire organization. The author uses research as well as…

  12. General Orientation to New Knowledge Utilization Fields of Informatics, Knowledge Management, and Information Technology.

    ERIC Educational Resources Information Center

    Southwest Educational Development Lab., Austin, TX.

    One of a series of booklets on disability research, this paper explores two major developments in the application of information technology: health care informatics and knowledge management. Both of these concepts focus on maximizing the value of, and access to, information resources. Both use technology to create interactive systems through which…

  13. Teachers' Practical Knowledge about Classroom Management in Multicultural Classrooms

    ERIC Educational Resources Information Center

    van Tartwijk, Jan; den Brok, Perry; Veldman, Ietje; Wubbels, Theo

    2009-01-01

    Creating a positive working atmosphere in the classroom is the first concern of many student and beginning teachers in secondary education. Teaching in multicultural classrooms provides additional challenges for these teachers. This study identified shared practical knowledge about classroom management strategies of teachers who were successful in…

  14. Knowledge Management and Information Technology (Know-IT Encyclopedia)

    DTIC Science & Technology

    2002-09-01

    As knowledge management (KM) and information technology (IT) have developed and grown, numerous technical terms and phrases have evolved that many...from the author’s experience on-the-job at the Program Executive Office for Information Technology (PEO-IT), the Department of the Navy (DON) Chief

  15. Teaching Knowledge Management by Combining Wikis and Screen Capture Videos

    ERIC Educational Resources Information Center

    Makkonen, Pekka; Siakas, Kerstin; Vaidya, Shakespeare

    2011-01-01

    Purpose: This paper aims to report on the design and creation of a knowledge management course aimed at facilitating student creation and use of social interactive learning tools for enhanced learning. Design/methodology/approach: The era of social media and web 2.0 has enabled a bottom-up collaborative approach and new ways to publish work on the…

  16. Using Knowledge Management to Revise Software-Testing Processes

    ERIC Educational Resources Information Center

    Nogeste, Kersti; Walker, Derek H. T.

    2006-01-01

    Purpose: This paper aims to use a knowledge management (KM) approach to effectively revise a utility retailer's software testing process. This paper presents a case study of how the utility organisation's customer services IT production support group improved their test planning skills through applying the American Productivity and Quality Center…

  17. Preschool Teachers' Beliefs, Knowledge, and Practices Related to Classroom Management

    ERIC Educational Resources Information Center

    Drang, Debra Michal

    2011-01-01

    This study examined preschool teachers' beliefs, knowledge, and practices related to classroom management. The rationale for researching this topic is based on the role of teachers in the special education referral process, the poor success rate for inclusion for children with disabilities who demonstrate problematic classroom behaviors, and the…

  18. Knowledge Management and Higher Education: A Critical Analysis

    ERIC Educational Resources Information Center

    Metcalfe, Amy

    2006-01-01

    Rather than focusing on functional issues relating to implementation of knowledge management (KM) techniques, this book addresses the social aspects of KM. Using various social science perspectives, the volume provides critical analyses of KM in higher education, with an emphasis on unintended consequences and future implications. Fifteen chapters…

  19. Draft position paper on knowledge management in space activities

    NASA Technical Reports Server (NTRS)

    Holm, Jeanne; Moura, Denis

    2003-01-01

    As other fields of industry, space activities are facing the challenge of Knowledge Management and the International Academy of Astronautics decided to settle in 2002 a Study Group to analyse the problem and issue general guidelines. This communication presents the draft position paper of this group in view to be discussed during the 2003 IAF Congress.

  20. An Integrated Model for Effective Knowledge Management in Chinese Organizations

    ERIC Educational Resources Information Center

    An, Xiaomi; Deng, Hepu; Wang, Yiwen; Chao, Lemen

    2013-01-01

    Purpose: The purpose of this paper is to provide organizations in the Chinese cultural context with a conceptual model for an integrated adoption of existing knowledge management (KM) methods and to improve the effectiveness of their KM activities. Design/methodology/approaches: A comparative analysis is conducted between China and the western…

  1. Cultivating Knowledge Sharing through the Relationship Management Maturity Model

    ERIC Educational Resources Information Center

    Martin, Valerie A.; Hatzakis, Tally; Lycett, Mark; Macredie, Robert

    2005-01-01

    Purpose: The purpose of this paper is to present the development of the relationship management maturity model (RMMM), the output of an initiative aimed at bridging the gap between business units and the IT organisation. It does this through improving and assessing knowledge sharing between business and IT staff in Finco, a large financial…

  2. Using provenance to manage knowledge of in silico experiments.

    PubMed

    Stevens, Robert; Zhao, Jun; Goble, Carole

    2007-05-01

    This article offers a briefing in one of the knowledge management issues of in silico experimentation in bioinformatics. Recording of the provenance of an experiment-what was done; where, how and why, etc. is an important aspect of scientific best practice that should be extended to in silico experimentation. We will do this in the context of eScience which has been part of the move of bioinformatics towards an industrial setting. Despite the computational nature of bioinformatics, these analyses are scientific and thus necessitate their own versions of typical scientific rigour. Just as recording who, what, why, when, where and how of an experiment is central to the scientific process in laboratory science, so it should be in silico science. The generation and recording of these aspects, or provenance, of an experiment are necessary knowledge management goals if we are to introduce scientific rigour into routine bioinformatics. In Silico experimental protocols should themselves be a form of managing the knowledge of how to perform bioinformatics analyses. Several systems now exist that offer support for the generation and collection of provenance information about how a particular in silico experiment was run, what results were generated, how they were generated, etc. In reviewing provenance support, we will review one of the important knowledge management issues in bioinformatics.

  3. Knowledge Management and the Competitive Strategy of the Firm

    ERIC Educational Resources Information Center

    Halawi, Leila A.; McCarthy, Richard V.; Aronson, Jay E.

    2006-01-01

    Purpose: Knowledge management (KM) has emerged as a strategy to improve organizational competitiveness. Our purpose is to identify the relationship between KM and the firm's competitive advantage. Design/methodology/approach: We review the existing literature on KM and strategy formulation. We utilize the resource-based view approach as a lens for…

  4. Knowledge Management and Organizational Learning: An International Research Perspective

    ERIC Educational Resources Information Center

    Walczak, Steven

    2008-01-01

    Purpose: This article aims to examine international studies of knowledge management (KM) and organizational learning (OL). Design/methodology/approach: The approach takes the form of a literature review of KM and OL research that focuses on a business or businesses located outside traditional Western economies. Findings: There is a need to…

  5. The workers role in knowledge management and sustainability policies.

    PubMed

    Bolis, Ivan; Brunoro, Claudio; Sznelwar, Laerte Idal

    2012-01-01

    Based on the concepts of sustainability and knowledge management, this article seeks to identify points of contact between the two themes through an exploratory study of existing literature. The first objective is to find, in international literature, the largest number of papers jointly related to the theme of knowledge management and sustainability. In these documents, the authors looked at the kind of relationship existing between the two themes and what the benefits introduced in organizations are. Based on an ergonomic point of view, the second objective of this article is to analyze the role of the worker (whether at the strategic or operational level) and his importance in this context. The results demonstrate that there is very little literature that addresses the two themes together. The few papers found, however, can be said to show the many advantages of introducing sustainability policies supported by adequate knowledge management. Very little has been studied with regards to the role of workers, which could be interpreted as meaning that little importance is given to the proactive role they may play. On the other hand, there is a high potential for future research in these areas, based on the high level of consideration of workers in knowledge management and sustainability literature, as well as in literature in the areas of ergonomics and sociology.

  6. The Challenges of Knowledge Management to Human Performance Technology

    ERIC Educational Resources Information Center

    Evans, Michael A.

    2004-01-01

    Over the past year the author has conducted user, task and context analyses as part of a larger project to develop a knowledge management (KM) system for the U.S. Navy. In this piece he shares that experience as well as point out a few of the challenges that he encountered. Ideally, this account will provide the opportunity for others to compare…

  7. The Impact of Management on Knowledge and Patient Care

    ERIC Educational Resources Information Center

    Iversen, Hans Petter

    2011-01-01

    How do approaches to management affect knowledge and patient care? In this paper, the establishment and dismantling of an organisational unit for research and development (R&D) in a mental health department of a Norwegian health enterprise are analysed. The characteristics of two adverse treatment ideologies and their coherence with approaches…

  8. Enhancing the Teaching-Learning Process: A Knowledge Management Approach

    ERIC Educational Resources Information Center

    Bhusry, Mamta; Ranjan, Jayanthi

    2012-01-01

    Purpose: The purpose of this paper is to emphasize the need for knowledge management (KM) in the teaching-learning process in technical educational institutions (TEIs) in India, and to assert the impact of information technology (IT) based KM intervention in the teaching-learning process. Design/methodology/approach: The approach of the paper is…

  9. Data Mining and Knowledge Management in Higher Education -Potential Applications.

    ERIC Educational Resources Information Center

    Luan, Jing

    This paper introduces a new decision support tool, data mining, in the context of knowledge management. The most striking features of data mining techniques are clustering and prediction. The clustering aspect of data mining offers comprehensive characteristics analysis of students, while the predicting function estimates the likelihood for a…

  10. Knowledge Management Model: Practical Application for Competency Development

    ERIC Educational Resources Information Center

    Lustri, Denise; Miura, Irene; Takahashi, Sergio

    2007-01-01

    Purpose: This paper seeks to present a knowledge management (KM) conceptual model for competency development and a case study in a law service firm, which implemented the KM model in a competencies development program. Design/methodology/approach: The case study method was applied according to Yin (2003) concepts, focusing a six-professional group…

  11. Results of a Citation Analysis of Knowledge Management in Education

    ERIC Educational Resources Information Center

    Uzunboylu, Huseyin; Eris, Hasan; Ozcinar, Zehra

    2011-01-01

    The purpose of this study was to examine research and trends in knowledge management in education (KME) published in selected professional sources during the period 1990-2008. Citation analysis was used in this study to investigate documents related to KME, which were indexed in the Web of Science, Education Researches Information Center and…

  12. Experience as Knowledge in a New Product Development Team: Implications for Knowledge Management

    NASA Technical Reports Server (NTRS)

    Cooper, Lynne P.

    2009-01-01

    This study was conducted to better understand how New Product Development (NPD) team members apply their experiences to meet the task needs of their project. Although "experience" is highly valued in team members, little research has looked specifically at experiences as a type of knowledge, and how this knowledge is used in work settings. This research evaluated nearly 200 instances where team members referenced past experiences during team meetings. During these experience exchanges, team members structured the sharing of their experiences to include three common elements: the source of the experience, the nature of the experience, and the degree of relevance to the current work of the team. The experiences fell into four categories: people (relationships), process, product, and politics. This paper describes how team members structured, applied, and integrated their individual experiences and presents the resulting implications for knowledge management systems that wish to exploit experience knowledge.

  13. InWiM: knowledge management for insurance medicine.

    PubMed

    Bleuer, Juerg P; Bösch, Kurt; Ludwig, Christian A

    2008-01-01

    Suva (Swiss National Accident Insurance Fund) is the most important carrier of obligatory accident insurance in Switzerland. Its services not only comprise insurance but also prevention, case management and rehabilitation. Suva's medical division supports doctors in stationary and ambulatory care with comprehensive case management and with conciliar advice. Two Suva clinics provide stationary rehabilitation. Medicine in general, including insurance medicine, faces the problem of a diversity of opinions about the facts of a case. One of the reasons is a diversity of knowledge. This is the reason why Suva initiated a knowledge management project called InWiM. "InWiM" is the acronym for "Integrierte Wissensbasen der Medizin" which can be translated as "Integrated Knowledge Bases in Medicine". The project is part of an ISO 9001 certification program and comprises the definition and documentation of all processes in the field of knowledge management as well as the development of the underlying ITC infrastructure. The knowledge representation model used for the ICT implementation considers knowledge as a multidimensional network of interlinked units of information. In contrast to the hyperlink technology in the World Wide Web, links between items are bidirectional: the target knows the source of the link. Links are therefore called cross-links. The model allows annotation for the narrative description of the nature of the units of information (e.g. documents) and the cross-links as well. Information retrieval is achieved by means of a full implementation of the MeSH Index, the thesaurus of the United States National Library of Medicine (NLM). As far as the authors are aware, InWiM is currently the only implementation worldwide - with the exception of the NLM and its national representatives - which supports all MeSH features for in-house retrieval.

  14. Verb Production during Action Naming in Semantic Dementia

    ERIC Educational Resources Information Center

    Meligne, D.; Fossard, M.; Belliard, S.; Moreaud, O.; Duvignau, K.; Demonet, J.-F.

    2011-01-01

    In contrast with widely documented deficits of semantic knowledge relating to object concepts and the corresponding nouns in semantic dementia (SD), little is known about action semantics and verb production in SD. The degradation of action semantic knowledge was studied in 5 patients with SD compared with 17 matched control participants in an…

  15. How to assess abstract conceptual knowledge: construction, standardization and validation of a new battery of semantic memory tests

    PubMed Central

    Rosa, Pasquale Anthony Della; Catricalà, Eleonora; De Battisti, Silvia; Vinson, David; Vigliocco, Gabriella; Cappa, Stefano F.

    2014-01-01

    Summary The neuropsychological investigation of semantic memory has mainly focused on concrete concepts, while abstract concepts have been relatively neglected. We describe a new battery for assessing abstract concepts in brain-damaged patients. The battery includes three different tests: an association task, a multiple-choice naming-to-description task and a sentence completion task. The three tasks are based on the same 40 stimuli belonging to different categories of abstract concepts and they are tightly controlled for variables that can account for quantitative differences between abstract concepts (i.e. concreteness, imageability, context availability, familiarity, age of acquisition, mode of acquisition, emotional valence and arousal). The three tasks showed high reliability. Normative data were collected from 108 healthy Italian adults. To assess its sensitivity, the battery was administered to 13 patients with probable Alzheimer's disease who performed worse than matched controls. Significant correlations were also found between the tests and other semantic memory tests, supporting the validity of the battery. PMID:25014049

  16. Cohort Selection and Management Application Leveraging Standards-based Semantic Interoperability and a Groovy DSL.

    PubMed

    Bucur, Anca; van Leeuwen, Jasper; Chen, Njin-Zu; Claerhout, Brecht; de Schepper, Kristof; Perez-Rey, David; Paraiso-Medina, Sergio; Alonso-Calvo, Raul; Mehta, Keyur; Krykwinski, Cyril

    2016-01-01

    This paper describes a new Cohort Selection application implemented to support streamlining the definition phase of multi-centric clinical research in oncology. Our approach aims at both ease of use and precision in defining the selection filters expressing the characteristics of the desired population. The application leverages our standards-based Semantic Interoperability Solution and a Groovy DSL to provide high expressiveness in the definition of filters and flexibility in their composition into complex selection graphs including splits and merges. Widely-adopted ontologies such as SNOMED-CT are used to represent the semantics of the data and to express concepts in the application filters, facilitating data sharing and collaboration on joint research questions in large communities of clinical users. The application supports patient data exploration and efficient collaboration in multi-site, heterogeneous and distributed data environments.

  17. Cohort Selection and Management Application Leveraging Standards-based Semantic Interoperability and a Groovy DSL

    PubMed Central

    Bucur, Anca; van Leeuwen, Jasper; Chen, Njin-Zu; Claerhout, Brecht; de Schepper, Kristof; Perez-Rey, David; Paraiso-Medina, Sergio; Alonso-Calvo, Raul; Mehta, Keyur; Krykwinski, Cyril

    2016-01-01

    This paper describes a new Cohort Selection application implemented to support streamlining the definition phase of multi-centric clinical research in oncology. Our approach aims at both ease of use and precision in defining the selection filters expressing the characteristics of the desired population. The application leverages our standards-based Semantic Interoperability Solution and a Groovy DSL to provide high expressiveness in the definition of filters and flexibility in their composition into complex selection graphs including splits and merges. Widely-adopted ontologies such as SNOMED-CT are used to represent the semantics of the data and to express concepts in the application filters, facilitating data sharing and collaboration on joint research questions in large communities of clinical users. The application supports patient data exploration and efficient collaboration in multi-site, heterogeneous and distributed data environments. PMID:27570644

  18. Semantator: semantic annotator for converting biomedical text to linked data.

    PubMed

    Tao, Cui; Song, Dezhao; Sharma, Deepak; Chute, Christopher G

    2013-10-01

    More than 80% of biomedical data is embedded in plain text. The unstructured nature of these text-based documents makes it challenging to easily browse and query the data of interest in them. One approach to facilitate browsing and querying biomedical text is to convert the plain text to a linked web of data, i.e., converting data originally in free text to structured formats with defined meta-level semantics. In this paper, we introduce Semantator (Semantic Annotator), a semantic-web-based environment for annotating data of interest in biomedical documents, browsing and querying the annotated data, and interactively refining annotation results if needed. Through Semantator, information of interest can be either annotated manually or semi-automatically using plug-in information extraction tools. The annotated results will be stored in RDF and can be queried using the SPARQL query language. In addition, semantic reasoners can be directly applied to the annotated data for consistency checking and knowledge inference. Semantator has been released online and was used by the biomedical ontology community who provided positive feedbacks. Our evaluation results indicated that (1) Semantator can perform the annotation functionalities as designed; (2) Semantator can be adopted in real applications in clinical and transactional research; and (3) the annotated results using Semantator can be easily used in Semantic-web-based reasoning tools for further inference.

  19. Knowledge management for chronic patient control and monitoring

    NASA Astrophysics Data System (ADS)

    Pedreira, Nieves; Aguiar-Pulido, Vanessa; Dorado, Julián; Pazos, Alejandro; Pereira, Javier

    2014-10-01

    Knowledge Management (KM) can be seen as the process of capturing, developing, sharing, and effectively using organizational knowledge. In this context, the work presented here proposes a KM System to be used in the scope of chronic patient control and monitoring for distributed research projects. It was designed in order to enable communication between patient and doctors, as well as to be usedbythe researchers involved in the project for its management. The proposed model integrates all the information concerning every patient and project management tasks in the Institutional Memory of a KMSystem and uses an ontology to maintain the information and its categorization independently. Furthermore, taking the philosophy of intelligent agents, the system will interact with the user to show him the information according to his preferences and access rights. Finally, three different scenarios of application are described.

  20. Selective impairment of living things and musical instruments on a verbal 'Semantic Knowledge Questionnaire' in a case of apperceptive visual agnosia.

    PubMed

    Masullo, Carlo; Piccininni, Chiara; Quaranta, Davide; Vita, Maria Gabriella; Gaudino, Simona; Gainotti, Guido

    2012-10-01

    Semantic memory was investigated in a patient (MR) affected by a severe apperceptive visual agnosia, due to an ischemic cerebral lesion, bilaterally affecting the infero-mesial parts of the temporo-occipital cortices. The study was made by means of a Semantic Knowledge Questionnaire (Laiacona, Barbarotto, Trivelli, & Capitani, 1993), which takes separately into account four categories of living beings (animals, fruits, vegetables and body parts) and of artefacts (furniture, tools, vehicles and musical instruments), does not require a visual analysis and allows to distinguish errors concerning super-ordinate categorization, perceptual features and functional/encyclopedic knowledge. When the total number of errors obtained on all the categories of living and non-living beings was considered, a non-significant trend toward a higher number of errors in living stimuli was observed. This difference, however, became significant when body parts and musical instruments were excluded from the analysis. Furthermore, the number of errors obtained on the musical instruments was similar to that obtained on the living categories of animals, fruits and vegetables and significantly higher of that obtained in the other artefact categories. This difference was still significant when familiarity, frequency of use and prototypicality of each stimulus entered into a logistic regression analysis. On the other hand, a separate analysis of errors obtained on questions exploring super-ordinate categorization, perceptual features and functional/encyclopedic attributes showed that the differences between living and non-living stimuli and between musical instruments and other artefact categories were mainly due to errors obtained on questions exploring perceptual features. All these data are at variance with the 'domains of knowledge' hypothesis', which assumes that the breakdown of different categories of living and non-living things respects the distinction between biological entities and

  1. Bilingual lexical access during L1 sentence reading: The effects of L2 knowledge, semantic constraint, and L1-L2 intermixing.

    PubMed

    Titone, Debra; Libben, Maya; Mercier, Julie; Whitford, Veronica; Pivneva, Irina

    2011-11-01

    Libben and Titone (2009) recently observed that cognate facilitation and interlingual homograph interference were attenuated by increased semantic constraint during bilingual second language (L2) reading, using eye movement measures. We now investigate whether cross-language activation also occurs during first language (L1) reading as a function of age of L2 acquisition and task demands (i.e., inclusion of L2 sentences). In Experiment 1, participants read high and low constraint English (L1) sentences containing interlingual homographs, cognates, or control words. In Experiment 2, we included French (L2) filler sentences to increase salience of the L2 during L1 reading. The results suggest that bilinguals reading in their L1 show nonselective activation to the extent that they acquired their L2 early in life. Similar to our previous work on L2 reading, high contextual constraint attenuated cross-language activation for cognates. The inclusion of French filler items promoted greater cross-language activation, especially for late stage reading measures. Thus, L1 bilingual reading is modulated by L2 knowledge, semantic constraint, and task demands.

  2. Developing Knowledge and Value in Management Consulting. Research in Management Consulting.

    ERIC Educational Resources Information Center

    Buono, Anthony F., Ed.

    This document contains 11 papers that explore knowledge and value development in the field of management consulting, with particular emphasis on trends and techniques in the practice of management consulting and the current theory and dynamics of management consulting. The following papers are included: "Introduction" (Anthony F. Buono);…

  3. PROCESS DOCUMENTATION: A MODEL FOR KNOWLEDGE MANAGEMENT IN ORGANIZATIONS

    PubMed Central

    Haddadpoor, Asefeh; Taheri, Behjat; Nasri, Mehran; Heydari, Kamal; Bahrami, Gholamreza

    2015-01-01

    Background: Continuous and interconnected processes are a chain of activities that turn the inputs of an organization to its outputs and help achieve partial and overall goals of the organization. These activates are carried out by two types of knowledge in the organization called explicit and implicit knowledge. Among these, implicit knowledge is the knowledge that controls a major part of the activities of an organization, controls these activities internally and will not be transferred to the process owners unless they are present during the organization’s work. Therefore the goal of this study is identification of implicit knowledge and its integration with explicit knowledge in order to improve human resources management, physical resource management, information resource management, training of new employees and other activities of Isfahan University of Medical Science. Methods: The project for documentation of activities in department of health of Isfahan University of Medical Science was carried out in several stages. First the main processes and related sub processes were identified and categorized with the help of planning expert. The categorization was carried out from smaller processes to larger ones. In this stage the experts of each process wrote down all their daily activities and organized them into general categories based on logical and physical relations between different activities. Then each activity was assigned a specific code. The computer software was designed after understanding the different parts of the processes, including main and sup processes, and categorization, which will be explained in the following sections. Results: The findings of this study showed that documentation of activities can help expose implicit knowledge because all of inputs and outputs of a process along with the length, location, tools and different stages of the process, exchanged information, storage location of the information and information flow can be

  4. Ecological Knowledge Among Communities, Managers and Scientists: Bridging Divergent Perspectives to Improve Forest Management Outcomes

    NASA Astrophysics Data System (ADS)

    Rist, Lucy; Shackleton, Charlie; Gadamus, Lily; Chapin, F. Stuart; Gowda, C. Made; Setty, Siddappa; Kannan, Ramesh; Shaanker, R. Uma

    2016-04-01

    Multiple actors are typically involved in forest management, namely communities, managers and researchers. In such cases, suboptimal management outcomes may, in addition to other factors, be symptomatic of a divergence in perspectives among these actors driven by fundamental differences in ecological knowledge. We examine the degree of congruence between the understandings of actors surrounding key issues of management concern in three case studies from tropical, subtropical and boreal forests. We identify commonly encountered points of divergence in ecological knowledge relating to key management processes and issues. We use these to formulate seven hypotheses about differences in the bodies of knowledge that frequently underlie communication and learning failures in forest management contexts where multiple actors are involved and outcomes are judged to be suboptimal. Finally, we present a set of propositions to acknowledge and narrow these differences. A more complete recognition of the full triangulation between all actors involved, and of the influence that fundamental differences in ecological knowledge can exert, may help lead to a more fruitful integration between local knowledge and practice, manager knowledge and practice, and contemporary science in forest management.

  5. Ecological Knowledge Among Communities, Managers and Scientists: Bridging Divergent Perspectives to Improve Forest Management Outcomes.

    PubMed

    Rist, Lucy; Shackleton, Charlie; Gadamus, Lily; Chapin, F Stuart; Gowda, C Made; Setty, Siddappa; Kannan, Ramesh; Shaanker, R Uma

    2016-04-01

    Multiple actors are typically involved in forest management, namely communities, managers and researchers. In such cases, suboptimal management outcomes may, in addition to other factors, be symptomatic of a divergence in perspectives among these actors driven by fundamental differences in ecological knowledge. We examine the degree of congruence between the understandings of actors surrounding key issues of management concern in three case studies from tropical, subtropical and boreal forests. We identify commonly encountered points of divergence in ecological knowledge relating to key management processes and issues. We use these to formulate seven hypotheses about differences in the bodies of knowledge that frequently underlie communication and learning failures in forest management contexts where multiple actors are involved and outcomes are judged to be suboptimal. Finally, we present a set of propositions to acknowledge and narrow these differences. A more complete recognition of the full triangulation between all actors involved, and of the influence that fundamental differences in ecological knowledge can exert, may help lead to a more fruitful integration between local knowledge and practice, manager knowledge and practice, and contemporary science in forest management.

  6. Post Information Age Positioning for Special Librarians: Is Knowledge Management the Answer?

    ERIC Educational Resources Information Center

    Abram, Stephen

    1997-01-01

    Argues that special librarians are not fact keepers but "catalysts in the knowledge continuum." Examines special librarians, the information business, and knowledge management; the knowledge continuum (data, information, knowledge, behavior) and strategies for successful "transformational librarianship": organizing information,…

  7. Knowledge management practices in healthcare settings: a systematic review.

    PubMed

    Karamitri, Ioanna; Talias, Michael A; Bellali, Thalia

    2017-01-01

    Knowledge is an intangible asset in Organizations, and provides a comparative advantage to those who possess it. Hospitals are complex organizations with unique characteristics because of the heterogeneity of health professionals' orientation, the composite networking and the decision-making processes. A deeper understanding of knowledge management (KM) could streamline productivity and coordinate the use of resources more efficient. We conducted a systematic literature search of peer-reviewed papers that described key elements of KM using three databases (Medline, Cinahl and Health Source: nursing/academic edition) for a 10-year period (1/1/2004-25/11/2014). The included articles were subjected to qualitative content analysis. We retrieved 604 articles of which 20 articles were eligible for analysis. Most of the studies (n=13) used a qualitative methodology. The total sample size was 2155 participants. The key elements that arose were as follows: perceptions of KM, synthesis, dissemination, collaboration, means of KM and leadership. Moreover, this study identified barriers for KM implementation, like time restrictions and limited skills. Healthcare managers ought to cultivate a knowledge environment, operate as role models, provide the tools for KM and reward people who act as knowledge brokers. Opportunities for collaboration and knowledge sharing should be encouraged. Successful KM should be patient-centered to gain its maximum value. Copyright © 2015 John Wiley & Sons, Ltd.

  8. Action representation: crosstalk between semantics and pragmatics.

    PubMed

    Prinz, Wolfgang

    2014-03-01

    Marc Jeannerod pioneered a representational approach to movement and action. In his approach, motor representations provide both, declarative knowledge about action and procedural knowledge for action (action semantics and action pragmatics, respectively). Recent evidence from language comprehension and action simulation supports the claim that action pragmatics and action semantics draw on common representational resources, thus challenging the traditional divide between declarative and procedural action knowledge. To account for these observations, three kinds of theoretical frameworks are discussed: (i) semantics is grounded in pragmatics, (ii) pragmatics is anchored in semantics, and (iii) pragmatics is part and parcel of semantics.

  9. Surface and semantic processing of cellular transport representations by high school students with low and high prior knowledge

    NASA Astrophysics Data System (ADS)

    Cook, Michelle Patrick

    The purpose of this study was to examine the influence of prior knowledge of cell transport processes on how students viewed and interpreted visual representations related to that topic. The participants were high school students (n=65) enrolled in Advanced Placement biology. Prior knowledge was assessed using a modified version of the Diffusion and Osmosis Diagnostic Test (Odom & Barrow, 1995). Eye movements were measured to reveal how students distribute their visual attention as they perceive and interpret graphics; in addition, interviews and questionnaires were employed to provide more interpretive data sources. The first manuscript of the study investigates the relationship between prior knowledge and students' ability to perceive salient features and interpret graphic representations of cellular transport. The results from eye tracking data, interviews, and questionnaire responses were triangulated and revealed differences in how high and low prior knowledge students attended to and interpreted various features of the graphic representations. Without adequate domain knowledge, low prior knowledge students focused on surface features of the graphics to build an understanding of the concepts represented. High prior knowledge students, with more abundant and better organized domain knowledge, were more likely to attend to thematically relevant content in the graphics and construct deeper understandings. The second manuscript of the study examines the influence of prior knowledge on how students transitioned among the macroscopic and molecular representations of selected graphics. Eye tracking and sequential analysis results indicated that high prior knowledge students transitioned more frequently between the molecular representations, where as low prior knowledge students transitioned more frequently between the macroscopic representations. In addition, low prior knowledge students transitioned more frequently between macroscopic and molecular representations

  10. The UMLS Semantic Network and the Semantic Web.

    PubMed

    Kashyap, Vipul

    2003-01-01

    The Unified Medical Language System is an extensive source of biomedical knowledge developed and maintained by the US National Library of Medicine (NLM) and is being currently used in a wide variety of biomedical applications. The Semantic Network, a component of the UMLS is a structured description of core biomedical knowledge consisting of well defined semantic types and relationships between them. We investigate the expressiveness of DAML+OIL, a markup language proposed for ontologies on the Semantic Web, for representing the knowledge contained in the Semantic Network. Requirements specific to the Semantic Network, such as polymorphic relationships and blocking relationship inheritance are discussed and approaches to represent these in DAML+OIL are presented. Finally, conclusions are presented along with a discussion of ongoing and future work.

  11. Semantics in Support of Biodiversity Knowledge Discovery: An Introduction to the Biological Collections Ontology and Related Ontologies

    PubMed Central

    Baskauf, Steve; Blum, Stanley; Bowers, Shawn; Davies, Neil; Endresen, Dag; Gandolfo, Maria Alejandra; Hanner, Robert; Janning, Alyssa; Krishtalka, Leonard; Matsunaga, Andréa; Midford, Peter; Tuama, Éamonn Ó.; Schildhauer, Mark; Smith, Barry; Stucky, Brian J.; Thomer, Andrea; Wieczorek, John; Whitacre, Jamie; Wooley, John

    2014-01-01

    The study of biodiversity spans many disciplines and includes data pertaining to species distributions and abundances, genetic sequences, trait measurements, and ecological niches, complemented by information on collection and measurement protocols. A review of the current landscape of metadata standards and ontologies in biodiversity science suggests that existing standards such as the Darwin Core terminology are inadequate for describing biodiversity data in a semantically meaningful and computationally useful way. Existing ontologies, such as the Gene Ontology and others in the Open Biological and Biomedical Ontologies (OBO) Foundry library, provide a semantic structure but lack many of the necessary terms to describe biodiversity data in all its dimensions. In this paper, we describe the motivation for and ongoing development of a new Biological Collections Ontology, the Environment Ontology, and the Population and Community Ontology. These ontologies share the aim of improving data aggregation and integration across the biodiversity domain and can be used to describe physical samples and sampling processes (for example, collection, extraction, and preservation techniques), as well as biodiversity observations that involve no physical sampling. Together they encompass studies of: 1) individual organisms, including voucher specimens from ecological studies and museum specimens, 2) bulk or environmental samples (e.g., gut contents, soil, water) that include DNA, other molecules, and potentially many organisms, especially microbes, and 3) survey-based ecological observations. We discuss how these ontologies can be applied to biodiversity use cases that span genetic, organismal, and ecosystem levels of organization. We argue that if adopted as a standard and rigorously applied and enriched by the biodiversity community, these ontologies would significantly reduce barriers to data discovery, integration, and exchange among biodiversity resources and researchers

  12. Semantics in support of biodiversity knowledge discovery: an introduction to the biological collections ontology and related ontologies.

    PubMed

    Walls, Ramona L; Deck, John; Guralnick, Robert; Baskauf, Steve; Beaman, Reed; Blum, Stanley; Bowers, Shawn; Buttigieg, Pier Luigi; Davies, Neil; Endresen, Dag; Gandolfo, Maria Alejandra; Hanner, Robert; Janning, Alyssa; Krishtalka, Leonard; Matsunaga, Andréa; Midford, Peter; Morrison, Norman; Ó Tuama, Éamonn; Schildhauer, Mark; Smith, Barry; Stucky, Brian J; Thomer, Andrea; Wieczorek, John; Whitacre, Jamie; Wooley, John

    2014-01-01

    The study of biodiversity spans many disciplines and includes data pertaining to species distributions and abundances, genetic sequences, trait measurements, and ecological niches, complemented by information on collection and measurement protocols. A review of the current landscape of metadata standards and ontologies in biodiversity science suggests that existing standards such as the Darwin Core terminology are inadequate for describing biodiversity data in a semantically meaningful and computationally useful way. Existing ontologies, such as the Gene Ontology and others in the Open Biological and Biomedical Ontologies (OBO) Foundry library, provide a semantic structure but lack many of the necessary terms to describe biodiversity data in all its dimensions. In this paper, we describe the motivation for and ongoing development of a new Biological Collections Ontology, the Environment Ontology, and the Population and Community Ontology. These ontologies share the aim of improving data aggregation and integration across the biodiversity domain and can be used to describe physical samples and sampling processes (for example, collection, extraction, and preservation techniques), as well as biodiversity observations that involve no physical sampling. Together they encompass studies of: 1) individual organisms, including voucher specimens from ecological studies and museum specimens, 2) bulk or environmental samples (e.g., gut contents, soil, water) that include DNA, other molecules, and potentially many organisms, especially microbes, and 3) survey-based ecological observations. We discuss how these ontologies can be applied to biodiversity use cases that span genetic, organismal, and ecosystem levels of organization. We argue that if adopted as a standard and rigorously applied and enriched by the biodiversity community, these ontologies would significantly reduce barriers to data discovery, integration, and exchange among biodiversity resources and researchers.

  13. A Survey of Knowledge Management Research & Development at NASA Ames Research Center

    NASA Technical Reports Server (NTRS)

    Keller, Richard M.; Clancy, Daniel (Technical Monitor)

    2002-01-01

    This chapter catalogs knowledge management research and development activities at NASA Ames Research Center as of April 2002. A general categorization scheme for knowledge management systems is first introduced. This categorization scheme divides knowledge management capabilities into five broad categories: knowledge capture, knowledge preservation, knowledge augmentation, knowledge dissemination, and knowledge infrastructure. Each of nearly 30 knowledge management systems developed at Ames is then classified according to this system. Finally, a capsule description of each system is presented along with information on deployment status, funding sources, contact information, and both published and internet-based references.

  14. A senior manager with a knowledge management portfolio: the Santa Clara County experience.

    PubMed

    Lindberg, Arley

    2012-01-01

    The agency director sought to create a systematically coordinated department that utilizes knowledge management strategies to promote evidence-informed practice. In his view, the organization was not providing needed information or organizational supports for practitioners to use knowledge effectively. To address this issue, he created a Director of Development and Operational Planning (DDOP) position with the responsibility to build structures and facilitate processes that support knowledge management. The DDOP oversees research and planning, government relations, legislative development and support, Board of Supervisors communications, staff development and training, community contracts, public information and in-house communication. The DDOP is reorganizing units under her supervision to create a knowledge management matrix that will implement new knowledge sharing strategies related to evaluation, contracts, legislation, organizational development, policy and planning, and staff development. The case study describes challenges and strategies related to: government regulations, size and complexity of the agency, staff resistance, and the developmental nature of the process.

  15. The Oil and Natural Gas Knowledge Management Database from NETL

    DOE Data Explorer

    The Knowledge Management Database (KMD) Portal provides four options for searching the documents and data that NETL-managed oil and gas research has produced over the years for DOE’s Office of Fossil Energy. Information includes R&D carried out under both historical and ongoing DOE oil and gas research and development (R&D). The Document Repository, the CD/DVD Library, the Project Summaries from 1990 to the present, and the Oil and Natural Gas Program Reference Shelf provide a wide range of flexibility and coverage.

  16. Knowledge and pharmacological management of Alzheimer's disease by managing community pharmacists: a nationwide study.

    PubMed

    Zerafa, Natalie; Scerri, Charles

    2016-12-01

    Background Managing community pharmacists can play a leading role in supporting community dwelling individuals with Alzheimer's disease and their caregivers. Objective The main purpose of this study was to assess knowledge of managing community pharmacists towards Alzheimer's disease and its pharmacological management. Setting Community pharmacies in the Maltese islands. Method A nationwide survey was conducted with full-time managing community pharmacists in possession of a tertiary education degree in pharmacy studies. The level of knowledge was investigated using the Alzheimer's Disease Knowledge Scale and the Alzheimer's Disease Pharmacotherapy Measure. Participants were also asked to rate a number of statements related to disease management. Results Maltese managing community pharmacists (57 % response rate) had inadequate knowledge on risk factors, caregiving issues and pharmacological management of Alzheimer's disease. Age and number of years working in a community pharmacy setting were found to be negatively correlated with increased knowledge. Conclusion The findings highlight the need of providing training and continued educational support to managing community pharmacists in order to provide quality advice to individuals with dementia and their caregivers in the community.

  17. NCI's national environmental research data collection: metadata management built on standards and preparing for the semantic web

    NASA Astrophysics Data System (ADS)

    Wang, Jingbo; Bastrakova, Irina; Evans, Ben; Gohar, Kashif; Santana, Fabiana; Wyborn, Lesley

    2015-04-01

    National Computational Infrastructure (NCI) manages national environmental research data collections (10+ PB) as part of its specialized high performance data node of the Research Data Storage Infrastructure (RDSI) program. We manage 40+ data collections using NCI's Data Management Plan (DMP), which is compatible with the ISO 19100 metadata standards. We utilize ISO standards to make sure our metadata is transferable and interoperable for sharing and harvesting. The DMP is used along with metadata from the data itself, to create a hierarchy of data collection, dataset and time series catalogues that is then exposed through GeoNetwork for standard discoverability. This hierarchy catalogues are linked using a parent-child relationship. The hierarchical infrastructure of our GeoNetwork catalogues system aims to address both discoverability and in-house administrative use-cases. At NCI, we are currently improving the metadata interoperability in our catalogue by linking with standardized community vocabulary services. These emerging vocabulary services are being established to help harmonise data from different national and international scientific communities. One such vocabulary service is currently being established by the Australian National Data Services (ANDS). Data citation is another important aspect of the NCI data infrastructure, which allows tracking of data usage and infrastructure investment, encourage data sharing, and increasing trust in research that is reliant on these data collections. We incorporate the standard vocabularies into the data citation metadata so that the data citation become machine readable and semantically friendly for web-search purpose as well. By standardizing our metadata structure across our entire data corpus, we are laying the foundation to enable the application of appropriate semantic mechanisms to enhance discovery and analysis of NCI's national environmental research data information. We expect that this will further

  18. Clinical management of dilated cardiomyopathy: current knowledge and future perspectives.

    PubMed

    Merlo, Marco; Cannatá, Antonio; Vitagliano, Alice; Zambon, Elena; Lardieri, Gerardina; Sinagra, Gianfranco

    2016-01-01

    Dilated cardiomyopathy (DCM) is a primary heart muscle disease characterized by a progressive dilation and dysfunction of either the left or both ventricles. The management of DCM is currently challenging for clinicians. The persistent lack of knowledge about the etiology and pathophysiology of this disease continues to determine important fields of uncertainty in managing this condition. Molecular cardiology and genetics currently represent the most crucial horizon of increasing knowledge. Understanding the mechanisms underlying the disease allows clinicians to treat this disease more effectively and to further improve outcomes of DCM patients through advancements in etiologic characterization, prognostic stratification and individualized therapy. Left ventricular reverse remodeling predicts a lower rate of major cardiac adverse events independently from other factors. Optimized medical treatment and device implantation are pivotal in inducing left ventricular reverse remodeling. Newly identified targets, such as angiotensin-neprilysin inhibition, phosphodiesterase inhibition and calcium sensitizing are important in improving prognosis in patients affected by DCM.

  19. [Clinical practice guidelines and knowledge management in healthcare].

    PubMed

    Ollenschläger, Günter

    2013-10-01

    Clinical practice guidelines are key tools for the translation of scientific evidence into everyday patient care. Therefore guidelines can act as cornerstones of evidence based knowledge management in healthcare, if they are trustworthy, and its recommendations are not biased by authors' conflict of interests. Good medical guidelines should be disseminated by means of virtual (digital/electronic) health libraries - together with implementation tools in context, such as guideline based algorithms, check lists, patient information, a.s.f. The article presents evidence based medical knowledge management using the German experiences as an example. It discusses future steps establishing evidence based health care by means of combining patient data, evidence from medical science and patient care routine, together with feedback systems for healthcare providers.

  20. [Knowledge and impact on disease management by asthmatic patients].

    PubMed

    Vieira, Jeorge Wagner da Conceição; Silva, Anderson Aquiles; Oliveira, Flávia Márcia

    2008-01-01

    Asthma is a disorder characterized by obstruction episodes of the respiratory tract. A qualitative study was conducted to evaluate the knowledge of the asthmatic patients and its impact on disease management. The sample size formed by 30 asthmatic patients was directed by the research question and analytical requirements. The data was collected at Emergency Department Attendance of Health System located at Coronel Fabriciano, Ipatinga and Timóteo. Interviews were performed during the months of June and July 2005. The results showed that the knowledge of the asthmatic patients was regular or insufficient to prevent asthmatic crisis. The knowledge was associated to the individuals experience through the contact with risk factors. Then, is important to designed asthma education and prevention program.

  1. [Knowledge of breastfeeding management among residents in pediatrics].

    PubMed

    Temboury Molina, M C

    2003-03-01

    The staff of maternity wards and clinics for maternal and child health should receive appropriate basic and in-service training on the health benefits of breastfeeding and on lactation management. Pediatricians should not only be knowledgeable about the health, nutritional and physiological aspects of appropriate feeding, they should also be familiar with the mechanics of breastfeeding, its various psychosocial influences, possible difficulties and how to overcome them. To evaluate knowledge of breastfeeding among pediatrics residents throughout Spain, a survey was conducted. A total of 250 questionnaires were collected. Significant differences were observed among provinces. In most areas, residents' training was insufficient. To achieve an appropriate level of knowledge among pediatrics residents in a subject as important to mother and child health as breastfeeding, courses should be given and repeated at regular intervals. Professional associations should be actively involved in promoting appropriate training for health professionals.

  2. Semantic Research for Digital Libraries.

    ERIC Educational Resources Information Center

    Chen, Hsinchun

    1999-01-01

    Discusses the need for semantic research in digital libraries to help overcome interoperability problems. Highlights include federal initiatives; semantic analysis; knowledge representations; human-computer interactions and information visualization; and the University of Illinois DLI (Digital Libraries Initiative) project through partnership with…

  3. Knowledge Management tools integration within DLR's concurrent engineering facility

    NASA Astrophysics Data System (ADS)

    Lopez, R. P.; Soragavi, G.; Deshmukh, M.; Ludtke, D.

    The complexity of space endeavors has increased the need for Knowledge Management (KM) tools. The concept of KM involves not only the electronic storage of knowledge, but also the process of making this knowledge available, reusable and traceable. Establishing a KM concept within the Concurrent Engineering Facility (CEF) has been a research topic of the German Aerospace Centre (DLR). This paper presents the current KM tools of the CEF: the Software Platform for Organizing and Capturing Knowledge (S.P.O.C.K.), the data model Virtual Satellite (VirSat), and the Simulation Model Library (SimMoLib), and how their usage improved the Concurrent Engineering (CE) process. This paper also exposes the lessons learned from the introduction of KM practices into the CEF and elaborates a roadmap for the further development of KM in CE activities at DLR. The results of the application of the Knowledge Management tools have shown the potential of merging the three software platforms with their functionalities, as the next step towards the fully integration of KM practices into the CE process. VirSat will stay as the main software platform used within a CE study, and S.P.O.C.K. and SimMoLib will be integrated into VirSat. These tools will support the data model as a reference and documentation source, and as an access to simulation and calculation models. The use of KM tools in the CEF aims to become a basic practice during the CE process. The settlement of this practice will result in a much more extended knowledge and experience exchange within the Concurrent Engineering environment and, consequently, the outcome of the studies will comprise higher quality in the design of space systems.

  4. Enhancing knowledge and attitudes in pain management: a pain management education program for nursing home staff.

    PubMed

    Tse, Mimi Mun Yee; Ho, Suki S K

    2014-03-01

    The aim of the study was to examine the effectiveness of a pain management program (PMP) in enhancing the knowledge and attitudes of health care workers in pain management. Many nursing home residents suffer from pain, and treatment of pain is often inadequate. Failure of health care workers to assess pain and their insufficient knowledge of pain management are barriers to adequate treatment. It was a quasiexperimental pretest and posttest study. Four nursing homes were approached, and 88 staff joined the 8-week PMP. Demographics and the knowledge and attitudes regarding pain were collected with the use of the Nurse's Knowledge and Attitudes Survey Regarding Pain-Chinese version (NKASRP-C) before and after the PMP. A deficit in knowledge and attitudes related to pain management was prominent before the PMP, and there was a significant increase in pain knowledge and attitudes from 7.9 ± SD 3.52 to 19.2 ± SD4.4 (p < .05) after the 8-week PMP. A PMP can improve the knowledge and attitudes of nursing staff and enable them to provide adequate and appropriate care to older persons in pain. PMPs for nurses and all health care professionals are important in enhancing care for older adults and to inform policy on the provision of pain management.

  5. A distributed reasoning engine ecosystem for semantic context-management in smart environments.

    PubMed

    Almeida, Aitor; López-de-Ipiña, Diego

    2012-01-01

    To be able to react adequately a smart environment must be aware of the context and its changes. Modeling the context allows applications to better understand it and to adapt to its changes. In order to do this an appropriate formal representation method is needed. Ontologies have proven themselves to be one of the best tools to do it. Semantic inference provides a powerful framework to reason over the context data. But there are some problems with this approach. The inference over semantic context information can be cumbersome when working with a large amount of data. This situation has become more common in modern smart environments where there are a lot sensors and devices available. In order to tackle this problem we have developed a mechanism to distribute the context reasoning problem into smaller parts in order to reduce the inference time. In this paper we describe a distributed peer-to-peer agent architecture of context consumers and context providers. We explain how this inference sharing process works, partitioning the context information according to the interests of the agents, location and a certainty factor. We also discuss the system architecture, analyzing the negotiation process between the agents. Finally we compare the distributed reasoning with the centralized one, analyzing in which situations is more suitable each approach.

  6. A Distributed Reasoning Engine Ecosystem for Semantic Context-Management in Smart Environments

    PubMed Central

    Almeida, Aitor; López-de-Ipiña, Diego

    2012-01-01

    To be able to react adequately a smart environment must be aware of the context and its changes. Modeling the context allows applications to better understand it and to adapt to its changes. In order to do this an appropriate formal representation method is needed. Ontologies have proven themselves to be one of the best tools to do it. Semantic inference provides a powerful framework to reason over the context data. But there are some problems with this approach. The inference over semantic context information can be cumbersome when working with a large amount of data. This situation has become more common in modern smart environments where there are a lot sensors and devices available. In order to tackle this problem we have developed a mechanism to distribute the context reasoning problem into smaller parts in order to reduce the inference time. In this paper we describe a distributed peer-to-peer agent architecture of context consumers and context providers. We explain how this inference sharing process works, partitioning the context information according to the interests of the agents, location and a certainty factor. We also discuss the system architecture, analyzing the negotiation process between the agents. Finally we compare the distributed reasoning with the centralized one, analyzing in which situations is more suitable each approach. PMID:23112596

  7. Semantic Relatedness for Evaluation of Course Equivalencies

    ERIC Educational Resources Information Center

    Yang, Beibei

    2012-01-01

    Semantic relatedness, or its inverse, semantic distance, measures the degree of closeness between two pieces of text determined by their meaning. Related work typically measures semantics based on a sparse knowledge base such as WordNet or Cyc that requires intensive manual efforts to build and maintain. Other work is based on a corpus such as the…

  8. From Data to Semantic Information

    NASA Astrophysics Data System (ADS)

    Floridi, Luciano

    2003-06-01

    There is no consensus yet on the definition of semantic information. This paper contributes to the current debate by criticising and revising the Standard Definition of semantic Information (SDI) as meaningful data, in favour of the Dretske-Grice approach: meaningful and well-formed data constitute semantic information only if they also qualify as contingently truthful. After a brief introduction, SDI is criticised for providing necessary but insufficient conditions for the definition of semantic information. SDI is incorrect because truth-values do not supervene on semantic information, and misinformation (that is, false semantic information) is not a type of semantic information, but pseudo-information, that is not semantic information at all. This is shown by arguing that none of the reasons for interpreting misinformation as a type of semantic information is convincing, whilst there are compelling reasons to treat it as pseudo-information. As a consequence, SDI is revised to include a necessary truth-condition. The last section summarises the main results of the paper and indicates the important implications of the revised definition for the analysis of the deflationary theories of truth, the standard definition of knowledge and the classic, quantitative theory of semantic information.

  9. C-Speak Aphasia alternative communication program for people with severe aphasia: importance of executive functioning and semantic knowledge.

    PubMed

    Nicholas, Marjorie; Sinotte, Michele P; Helm-Estabrooks, Nancy

    2011-06-01

    Learning how to use a computer-based communication system can be challenging for people with severe aphasia even if the system is not word-based. This study explored cognitive and linguistic factors relative to how they affected individual patients' ability to communicate expressively using C-Speak Aphasia (CSA), an alternative communication computer program that is primarily picture-based. Ten individuals with severe non-fluent aphasia received at least six months of training with CSA. To assess carryover of training, untrained functional communication tasks (i.e., answering autobiographical questions, describing pictures, making telephone calls, describing a short video, and two writing tasks) were repeatedly probed in two conditions: (1) using CSA in addition to natural forms of communication, and (2) using only natural forms of communication, e.g., speaking, writing, gesturing, drawing. Four of the 10 participants communicated more information on selected probe tasks using CSA than they did without the computer. Response to treatment was also examined in relation to baseline measures of non-linguistic executive function skills, pictorial semantic abilities, and auditory comprehension. Only nonlinguistic executive function skills were significantly correlated with treatment response.

  10. Developing Knowledge Management (KM): Contributions by Organizational Learning and Total Quality Management (TQM)

    ERIC Educational Resources Information Center

    Hung, Richard Yu-Yuan; Lien, Bella Ya-Hui

    2005-01-01

    Knowledge management is an integral business function for many organizations to manage intellectual resources effectively. From a resource-based perspective, organizational learning and TQM are antecedents that are closely related to KM. The purposes of this study were to explain the contents of KM, and explore the relationship between KM-related…

  11. Improving data management and dissemination in web based information systems by semantic enrichment of descriptive data aspects

    NASA Astrophysics Data System (ADS)

    Gebhardt, Steffen; Wehrmann, Thilo; Klinger, Verena; Schettler, Ingo; Huth, Juliane; Künzer, Claudia; Dech, Stefan

    2010-10-01

    The German-Vietnamese water-related information system for the Mekong Delta (WISDOM) project supports business processes in Integrated Water Resources Management in Vietnam. Multiple disciplines bring together earth and ground based observation themes, such as environmental monitoring, water management, demographics, economy, information technology, and infrastructural systems. This paper introduces the components of the web-based WISDOM system including data, logic and presentation tier. It focuses on the data models upon which the database management system is built, including techniques for tagging or linking metadata with the stored information. The model also uses ordered groupings of spatial, thematic and temporal reference objects to semantically tag datasets to enable fast data retrieval, such as finding all data in a specific administrative unit belonging to a specific theme. A spatial database extension is employed by the PostgreSQL database. This object-oriented database was chosen over a relational database to tag spatial objects to tabular data, improving the retrieval of census and observational data at regional, provincial, and local areas. While the spatial database hinders processing raster data, a "work-around" was built into WISDOM to permit efficient management of both raster and vector data. The data model also incorporates styling aspects of the spatial datasets through styled layer descriptions (SLD) and web mapping service (WMS) layer specifications, allowing retrieval of rendered maps. Metadata elements of the spatial data are based on the ISO19115 standard. XML structured information of the SLD and metadata are stored in an XML database. The data models and the data management system are robust for managing the large quantity of spatial objects, sensor observations, census and document data. The operational WISDOM information system prototype contains modules for data management, automatic data integration, and web services for data

  12. Citation and Recognition of contributions using Semantic Provenance Knowledge Captured in the OPeNDAP Software Framework

    NASA Astrophysics Data System (ADS)

    West, P.; Michaelis, J.; Lebot, T.; McGuinness, D. L.; Fox, P. A.

    2014-12-01

    Providing proper citation and attribution for published data, derived data products, and the software tools used to generate them, has always been an important aspect of scientific research. However, It is often the case that this type of detailed citation and attribution is lacking. This is in part because it often requires manual markup since dynamic generation of this type of provenance information is not typically done by the tools used to access, manipulate, transform, and visualize data. In addition, the tools themselves lack the information needed to be properly cited themselves. The OPeNDAP Hyrax Software Framework is a tool that provides access to and the ability to constrain, manipulate, and transform, different types of data from different data formats, into a common format, the DAP (Data Access Protocol), in order to derive new data products. A user, or another software client, specifies an HTTP URL in order to access a particular piece of data, and appropriately transform it to suit a specific purpose of use. The resulting data products, however, do not contain any information about what data was used to create it, or the software process used to generate it, let alone information that would allow the proper citing and attribution to down stream researchers and tool developers. We will present our approach to provenance capture in Hyrax including a mechanism that can be used to report back to the hosting site any derived products, such as publications and reports, using the W3C PROV recommendation pingback service. We will demonstrate our utilization of Semantic Web and Web standards, the development of an information model that extends the PROV model for provenance capture, and the development of the pingback service. We will present our findings, as well as our practices for providing provenance information, visualization of the provenance information, and the development of pingback services, to better enable scientists and tool developers to be

  13. Towards a Common Platform to Support Business Processes, Services and Semantics

    NASA Astrophysics Data System (ADS)

    Piprani, Baba

    The search for the Holy Grail in achieving interoperability of business processes, services and semantics continues with every new type or search for the Silver Bullet. Most approaches towards interoperability either are focusing narrowly on the simplistic notion using technology supporting a cowboy-style development without much regard to metadata or semantics. At the same time, the distortions on semantics created by many of current modeling paradigms and approaches - including the disharmony created by multiplicity of parallel approaches to standardization - are not helping us resolve the real issues facing knowledge and semantics management. This paper will address some of the issues facing us, like: What have we achieved? Where did we go wrong? What are we doing right? - providing an ipso-facto encapsulated candid snapshot on an approach to harmonizing our approach to interoperability, and propose a common platform to support Business Processes, Services and Semantics.

  14. Incinerator Ash Management: Knowledge and information gaps to 1987

    SciTech Connect

    Goldin, A.; Bigelow, C.; Veneman, P.L.M.

    1992-06-01

    The Incinerator Ash Management Project at the University of Massachusetts was established in 1986 to gather written and numerical test data from existing literature and from persons knowledgeable about incinerator ash management. Information was solicited on sampling and testing methods; incinerator ash properties, and incinerator and fuel characteristics that may affect ash properties; the different components of ash management systems; and regulatory concerns. The principal data were collected on total metals, EP toxicity test results, dioxins and furans, and the composition of refuse. Cadmium and lead are apparently the most important elements affecting the ash toxicity. The values for total metals and values from the EP toxicity test are both extremely variable. Unfortunately, information about incinerator conditions at the time of sampling is often missing, which severely limits statistical interpretation of the data. The selection of an appropriate ash-management option depends on factors such as ash composition; availability, location, and nature of landfills; and the availability of alternative use or disposal techniques. Many states and the federal government are currently considering how to regulate incinerator ash management and are at various stages in this process.

  15. Semantic and Lexical Coherence.

    ERIC Educational Resources Information Center

    Fahnestock, Jeanne

    Helping students understand coherence in terms of the lexical ties and semantic relations possible between clauses and sentences formalizes an area of writing instruction that has been somewhat vague before and makes the process of creating a coherent paragraph less mysterious. Many students do not have the intuitive knowledge base for absorbing…

  16. The Semantic Management of Environmental Resources within the Interoperable Context of the EuroGEOSS: Alignment of GEMET and the GEOSS SBAs

    NASA Astrophysics Data System (ADS)

    Cialone, Claudia; Stock, Kristin

    2010-05-01

    -source application to assist thematic experts in defining the mappings between concepts in the two classification schemes. The application will then generate SKOS mappings (exactMatch, closeMatch, broadMatch, narrowMatch, relatedMatch) based on thematic expert selections between the concepts in GEMET with the SBAs (including both the general Societal Benefit Areas and their subcategories). Once these mappings are defined and the SKOS files generated, resource providers will be able to select concepts from either GEMET or the SBAs (or a mixture) to describe their resources, and discovery approaches will support selection of concepts from either classification scheme, also returning results classified using the other scheme. While the focus of our work has been on the SBAs and GEMET, we also plan to provide a method for resource providers to further extend the semantic infrastructure by defining alignments to new classification schemes if these are required to support particular specialized thematic areas that are not covered by GEMET. In this way, the approach is flexible and suited to the general scope of EuroGEOSS, allowing specialists to increase at will the level of semantic quality and specificity of data to the initial infrastructural skeleton of the project. References ____________________________________________ Joint research Centre (JRC), 2008. INSPIRE Metadata Editor User Guide Pérez-Gómez A., Fernandez-Lopez M., Corcho O. Ontological engineering: With Examples from the Areas of Knowledge Management, e-Commerce and the Semantic Web.Spinger: London, 2004

  17. Providing Knowledge Recommendations: An Approach for Informal Electronic Mentoring

    ERIC Educational Resources Information Center

    Colomo-Palacios, Ricardo; Casado-Lumbreras, Cristina; Soto-Acosta, Pedro; Misra, Sanjay

    2014-01-01

    The use of Web 2.0 technologies for knowledge management is invading the corporate sphere. The Web 2.0 is the most adopted knowledge transfer tool within knowledge intensive firms and is starting to be used for mentoring. This paper presents IM-TAG, a Web 2.0 tool, based on semantic technologies, for informal mentoring. The tool offers…

  18. Semantic Priming for Coordinate Distant Concepts in Alzheimer's Disease Patients

    ERIC Educational Resources Information Center

    Perri, R.; Zannino, G. D.; Caltagirone, C.; Carlesimo, G. A.

    2011-01-01

    Semantic priming paradigms have been used to investigate semantic knowledge in patients with Alzheimer's disease (AD). While priming effects produced by prime-target pairs with associative relatedness reflect processes at both lexical and semantic levels, priming effects produced by words that are semantically related but not associated should…

  19. The Impact of Knowledge Management and Technology: An Analysis of Administrative Behaviours

    ERIC Educational Resources Information Center

    Nurluoz, Ozdem; Birol, Cem

    2011-01-01

    Knowledge management is crucial in higher education practices that refer knowledge sharing, feedback and communication process as part of the quality improvements. In this process, technology has a role to diffuse knowledge and create a link for sharing within the knowledge management process. In this respect, this research study aims to examine…

  20. Using ICT to Enhance Knowledge Management in Higher Education: A Conceptual Framework and Research Agenda

    ERIC Educational Resources Information Center

    Omona, Walter; van der Weide, Theo; Lubega, Jude

    2010-01-01

    The adoption and use of ICT to enhance and facilitate Knowledge Management (KM) has brought to focus the urgent need to come out with new methods, tools and techniques in the development of KM systems frameworks, knowledge processes and knowledge technologies to promote effective management of knowledge for improved service deliveries in higher…

  1. A Process-Based Knowledge Management System for Schools: A Case Study in Taiwan

    ERIC Educational Resources Information Center

    Lee, Chi-Lung; Lu, Hsi-Peng; Yang, Chyan; Hou, Huei-Tse

    2010-01-01

    Knowledge management systems, or KMSs, have been widely adopted in business organizations, yet little research exists on the actual integration of the knowledge management model and the application of KMSs in secondary schools. In the present study, the common difficulties and limitations regarding the implementation of knowledge management into…

  2. An Exploratory Study of the Relationship between Knowledge Management and Performance Professionals.

    ERIC Educational Resources Information Center

    Marshall, James; Rossett, Allison

    2000-01-01

    Discusses knowledge management and considers how the profession has developed from job aids and documentation. Topics include organizational culture and policies; access to information; enabling technologies; customer focus; training for knowledge management; and leadership roles played by knowledge management and performance professionals.…

  3. Knowledge Management. Symposium 36. [Concurrent Symposium Session at AHRD Annual Conference, 2000.

    ERIC Educational Resources Information Center

    2000

    Three presentations are provided from Symposium 36, Knowledge Management, of the Academy of Human Resource Development (HRD) 2000 Conference Proceedings. "Corporate Knowledge Management and New Challenges for HRD" (Hunseok Oh) identifies new challenges for HRD: training and developing knowledge workers, developing managers and team…

  4. Knowledge, attitude and practice of hospital staff management.

    PubMed

    Lakbala, Parvin; Lakbala, Mahboobeh

    2013-07-01

    The proper handling and disposal of biomedical waste (BMW) is very imperative. There is a defined set of rules for handling BMW worldwide. Unfortunately, laxity and lack of adequate training and awareness in the execution of these rules leads to staid health and environment apprehension. The objective of the study was to assess the knowledge and attitude of hospital staff to BMW management. The cross-sectional study was conducted on 261 healthcare workers from 9 hospitals, which were randomized from 32 hospitals. The most important finding was a significant (P < 0.05) relationship between the level of education attainments and training in BMW management. Twenty-nine (19.9%) members of government hospital staff and 37 (32.2%) members of staff from the private sector agreed that BMW management is not just the government's responsibility, but one that every member of personnel should share. This finding will help to address the issue more appropriately, and plan for better training programs and monitoring of BMW management systems in hospitals.

  5. Bridging the semantic gap in sports

    NASA Astrophysics Data System (ADS)

    Li, Baoxin; Errico, James; Pan, Hao; Sezan, M. Ibrahim

    2003-01-01

    One of the major challenges facing current media management systems and the related applications is the so-called "semantic gap" between the rich meaning that a user desires and the shallowness of the content descriptions that are automatically extracted from the media. In this paper, we address the problem of bridging this gap in the sports domain. We propose a general framework for indexing and summarizing sports broadcast programs. The framework is based on a high-level model of sports broadcast video using the concept of an event, defined according to domain-specific knowledge for different types of sports. Within this general framework, we develop automatic event detection algorithms that are based on automatic analysis of the visual and aural signals in the media. We have successfully applied the event detection algorithms to different types of sports including American football, baseball, Japanese sumo wrestling, and soccer. Event modeling and detection contribute to the reduction of the semantic gap by providing rudimentary semantic information obtained through media analysis. We further propose a novel approach, which makes use of independently generated rich textual metadata, to fill the gap completely through synchronization of the information-laden textual data with the basic event segments. An MPEG-7 compliant prototype browsing system has been implemented to demonstrate semantic retrieval and summarization of sports video.

  6. Taekwondo coaches knowledge about prevention and management of dental trauma.

    PubMed

    Vidović, Dina; Gorseta, Kristina; Bursac, Danijel; Glavina, Domagoj; Skrinjarić, Tomislav

    2014-06-01

    The aim of this study was to assess level of knowledge about prevention and dental trauma management among taekwondo coaches in Croatia. The questionnaire submitted to the taekwondo coaches contained 16 items about dental trauma prevention and management. The questionnaires were filled in by 131 taekwondo coaches; 28 females and 103 males. Descriptive statistics was used to describe and analyze the obtained data. The coaches were familiar with dental injuries in high percentage: 41 (31.3%) have observed dental injury and 36 (27.5%) have experienced a dental injury themselves. Eight of them had tooth avulsion, fourteen crown fracture, and eight had tooth luxation. About half of all interviewed coaches 68 (52.7%) were aware of the possibility of replanting avulsed teeth. Twenty six (19.8%) were familiar with the tooth rescue kit. Only 99 out of 131 coaches (75.6%) have used a mouthguard. The obtained results show low knowledge about possibilities for prevention of dental trauma. Insufficient use of mouthguards in this contact sport requires more attention of dentists and coaches education about dental trauma prevention.

  7. Knowledge communication: a key to successful crisis management.

    PubMed

    Johansson, Anders; Härenstam, Malin

    2013-09-01

    A winning concept of crisis management can be summarized in 2 words: knowledge communication. If decision makers, communicators, experts, and the public understand what the crisis is about and share their knowledge, the process of handling it will be optimized. Effective crisis communication implies the necessity of an unhindered but purposeful exchange of information within and between authorities, organizations, media, involved individuals, and groups before, during, and after a crisis. This article focuses on the importance of the before, or prevention, part of a crisis since it holds a rich possibility to enhance the chances for successful crisis management of a bioterrorism incident. An extended perspective on crisis communication efficiently links to a more thorough understanding of risk perception with various stakeholders and the public, which also will be helpful for situational awareness. Furthermore, the grounded baseline for the dialogue type of crisis communication suitable in modern society and to modern social media is achieved by linking to those risk communication efforts that are made. The link between risk and crisis should be afforded more attention since, especially in biosecurity, there would be no crisis without risk negligence and poor or malfunctioning preventive efforts.

  8. Human-centered design of a distributed knowledge management system.

    PubMed

    Rinkus, Susan; Walji, Muhammad; Johnson-Throop, Kathy A; Malin, Jane T; Turley, James P; Smith, Jack W; Zhang, Jiajie

    2005-02-01

    Many healthcare technology projects fail due to the lack of consideration of human issues, such as workflow, organizational change, and usability, during the design and implementation stages of a project's development process. Even when human issues are considered, the consideration is typically on designing better user interfaces. We argue that human-centered computing goes beyond a better user interface: it should include considerations of users, functions and tasks that are fundamental to human-centered computing. From this perspective, we integrated a previously developed human-centered methodology with a Project Design Lifecycle, and we applied this integration in the design of a complex distributed knowledge management system for the Biomedical Engineer (BME) domain in the Mission Control Center at NASA Johnson Space Center. We analyzed this complex system, identified its problems, generated systems requirements, and provided specifications of a replacement prototype for effective organizational memory and knowledge management. We demonstrated the value provided by our human-centered approach and described the unique properties, structures, and processes discovered using this methodology and how they contributed in the design of the prototype.

  9. Knowledge, attitudes and management skills of medical practitioners regarding weight management

    PubMed Central

    2016-01-01

    Background Overweight and obesity have become a global problem. Health professionals are poorly prepared in weight management, which has an effect on their attitudes and management skills with regard to overweight and obese patients. Aim and setting To assess the knowledge, attitudes and management skills of medical practitioners regarding weight management at Odi District Hospital, Gauteng Province, South Africa. Methods We conducted a cross-sectional study on 48 medical practitioners at Odi Hospital between 01 October and 31 October 2013. A self-administered questionnaire was used to assess their knowledge, attitudes and management skills in weight management. The SPSS® statistical software (Version 22) was used for data analysis. A p < 0.05 was considered significant. Results Fifty medical practitioners were recruited, 48 consented to participate and 28 (58.3%) were male. Their categories were community service doctors (3), medical officers (21), registrars (22) and others (2). Thirty-seven (77.1%) never received training in weight management (p < 0.001). Thirty-two (66.7%) regarded weight management as not confined to a dietician (p < 0.001) and 27 (56.2%) regarded weight management as usually unsuccessful (p = 0.004). Forty-seven (97.9%) provided lifestyle modifications and 43 (89.6%) involved the patient’s family in weight management (p < 0.001). More non-registrars [14 (77.8%)] than registrars [8 (38.1%)] measured the body mass index (BMI) routinely (p = 0.013). Conclusion Few medical practitioners received training in weight management. They regarded weight management as usually unsuccessful and lacked confidence in the same owing to lack of training. They provided lifestyle modifications and involved the patient’s family in weight management. Non-registrars measured the BMI routinely. There is a need for training in weight management at undergraduate and post-graduate levels. PMID:28155319

  10. Water management simulation games and the construction of knowledge

    NASA Astrophysics Data System (ADS)

    Rusca, M.; Heun, J.; Schwartz, K.

    2012-03-01

    In recent years simulations have become an important part of teaching activities. The reasons behind the popularity of simulation games are twofold. On the one hand, emerging theories on how people learn have called for an experienced-based learning approach. On the other hand, the demand for water management professionals has changed. Three important developments are having considerable consequences for water management programmes, which educate and train these professionals. These developments are the increasing emphasis on integration in water management, the characteristics and speed of reforms in the public sector and the shifting state-society relations in many countries. In response to these developments, demand from the labour market is oriented toward water professionals who need to have both a specialist in-depth knowledge in their own field, as well as the ability to understand and interact with other disciplines and interests. In this context, skills in negotiating, consensus building and working in teams are considered essential for all professionals. In this paper we argue that simulation games have an important role to play in (actively) educating students and training the new generation of water professionals to respond to the above-mentioned challenges. At the same time, simulations are not a panacea for learners and teachers. Challenges of using simulations games include the demands it places on the teacher. Setting up the simulation game, facilitating the delivery and ensuring that learning objectives are achieved requires considerable knowledge and experience as well as considerable time-inputs of the teacher. Moreover, simulation games usually incorporate a case-based learning model, which may neglect or underemphasize theories and conceptualization. For simulations to be effective they have to be embedded in this larger theoretical and conceptual framework. Simulations, therefore, complement rather than substitute traditional teaching methods.

  11. Water management simulation games and the construction of knowledge

    NASA Astrophysics Data System (ADS)

    Rusca, M.; Heun, J.; Schwartz, K.

    2012-08-01

    In recent years, simulations have become an important part of teaching activities. The reasons behind the popularity of simulation games are twofold. On the one hand, emerging theories on how people learn have called for an experienced-based learning approach. On the other hand, the demand for water management professionals has changed. Three important developments are having considerable consequences for water management programmes, which educate and train these professionals. These developments are the increasing emphasis on integration in water management, the characteristics and speed of reforms in the public sector and the shifting state-society relations in many countries. In response to these developments, demand from the labour market is oriented toward water professionals who need to have both a specialist in-depth knowledge in their own field, as well as the ability to understand and interact with other disciplines and interests. In this context, skills in negotiating, consensus building and working in teams are considered essential for all professionals. In this paper, we argue that simulation games have an important role to play in (actively) educating students and training the new generation of water professionals to respond to the above-mentioned challenges. At the same time, simulations are not a panacea for learners and teachers. Challenges of using simulation games include the demands it places on the teacher. Setting up the simulation game, facilitating the delivery and ensuring that learning objectives are achieved require considerable knowledge and experience as well as considerable time-inputs of the teacher. Moreover, simulation games usually incorporate a case-based learning model, which may neglect or underemphasize theories and conceptualizations. For simulations to be effective, they have to be embedded in this larger theoretical and conceptual framework. Simulations, therefore, complement rather than substitute traditional teaching

  12. Educating for tomorrow: enhancing nurses' pain management knowledge.

    PubMed

    Linkewich, Barbara; Sevean, Patricia; Habjan, Sonja; Poling, Margaret; Bailey, Susan; Kortes-Miller, Kathy

    2007-04-01

    The Centre for Education and Research on Aging and Health at Lakehead University, Thunder Bay, Ontario, was the lead agency in developing a pain management continuing education program for front-line nurses in a variety of settings in northwestern Ontario. A committee of experts from the centre as well as from the Thunder Bay Regional Health Sciences Centre; Regional Cancer Care; the Pain and Symptom Management Team, North West Community Care Access Centre; the Victorian Order of Nurses and Lakehead University school of nursing developed the program. The program included a pre-test of knowledge and attitudes; four two-hour educational sessions focusing on total pain, acute pain, chronic pain and cancer pain; and a post self-test at the end of each session. The educational sessions were evaluated through a survey to participants. Overall, the nurses expressed high satisfaction with the workshops, and the post self-tests indicated a better understanding of patients' pain management experiences. As a result of the evaluation, the education planning committee refined the program, which is currently being delivered to nurses in rural and remote communities via telehealth.

  13. Knowledge management impact of information technology Web 2.0/3.0. The case study of agent software technology usability in knowledge management system

    NASA Astrophysics Data System (ADS)

    Sołtysik-Piorunkiewicz, Anna

    2015-02-01

    How we can measure the impact of internet technology Web 2.0/3.0 for knowledge management? How we can use the Web 2.0/3.0 technologies for generating, evaluating, sharing, organizing knowledge in knowledge-based organization? How we can evaluate it from user-centered perspective? Article aims to provide a method for evaluate the usability of web technologies to support knowledge management in knowledge-based organizations of the various stages of the cycle knowledge management, taking into account: generating knowledge, evaluating knowledge, sharing knowledge, etc. for the modern Internet technologies based on the example of agent technologies. The method focuses on five areas of evaluation: GUI, functional structure, the way of content publication, organizational aspect, technological aspect. The method is based on the proposed indicators relating respectively to assess specific areas of evaluation, taking into account the individual characteristics of the scoring. Each of the features identified in the evaluation is judged first point wise, then this score is subject to verification and clarification by means of appropriate indicators of a given feature. The article proposes appropriate indicators to measure the impact of Web 2.0/3.0 technologies for knowledge management and verification them in an example of agent technology usability in knowledge management system.

  14. A DNA-based semantic fusion model for remote sensing data.

    PubMed

    Sun, Heng; Weng, Jian; Yu, Guangchuang; Massawe, Richard H

    2013-01-01

    Semantic technology plays a key role in various domains, from conversation understanding to algorithm analysis. As the most efficient semantic tool, ontology can represent, process and manage the widespread knowledge. Nowadays, many researchers use ontology to collect and organize data's semantic information in order to maximize research productivity. In this paper, we firstly describe our work on the development of a remote sensing data ontology, with a primary focus on semantic fusion-driven research for big data. Our ontology is made up of 1,264 concepts and 2,030 semantic relationships. However, the growth of big data is straining the capacities of current semantic fusion and reasoning practices. Considering the massive parallelism of DNA strands, we propose a novel DNA-based semantic fusion model. In this model, a parallel strategy is developed to encode the semantic information in DNA for a large volume of remote sensing data. The semantic information is read in a parallel and bit-wise manner and an individual bit is converted to a base. By doing so, a considerable amount of conversion time can be saved, i.e., the cluster-based multi-processes program can reduce the conversion time from 81,536 seconds to 4,937 seconds for 4.34 GB source data files. Moreover, the size of result file recording DNA sequences is 54.51 GB for parallel C program compared with 57.89 GB for sequential Perl. This shows that our parallel method can also reduce the DNA synthesis cost. In addition, data types are encoded in our model, which is a basis for building type system in our future DNA computer. Finally, we describe theoretically an algorithm for DNA-based semantic fusion. This algorithm enables the process of integration of the knowledge from disparate remote sensing data sources into a consistent, accurate, and complete representation. This process depends solely on ligation reaction and screening operations instead of the ontology.

  15. X-Informatics: Practical Semantic Science

    NASA Astrophysics Data System (ADS)

    Borne, K. D.

    2009-12-01

    The discipline of data science is merging with multiple science disciplines to form new X-informatics research disciplines. They are almost too numerous to name, but they include geoinformatics, bioinformatics, cheminformatics, biodiversity informatics, ecoinformatics, materials informatics, and the emerging discipline of astroinformatics. Within any X-informatics discipline, the information granules are unique to that discipline -- e.g., gene sequences in bio, the sky object in astro, and the spatial object in geo (such as points, lines, and polygons in the vector model, and pixels in the raster model). Nevertheless the goals are similar: transparent data re-use across subdisciplines and within education settings, information and data integration and fusion, personalization of user interactions with the data collection, semantic search and retrieval, and knowledge discovery. The implementation of an X-informatics framework enables these semantic e-science research goals. We describe the concepts, challenges, and new developments associated with the new discipline of astroinformatics, and how geoinformatics provides valuable lessons learned and a model for practical semantic science within a traditional science discipline through the accretion of data science methodologies (such as formal metadata creation, data models, data mining, information retrieval, knowledge engineering, provenance, taxonomies, and ontologies). The emerging concept of data-as-a-service (DaaS) builds upon the concept of smart data (or data DNA) for intelligent data management, automated workflows, and intelligent processing. Smart data, defined through X-informatics, enables several practical semantic science use cases, including self-discovery, data intelligence, automatic recommendations, relevance analysis, dimension reduction, feature selection, constraint-based mining, interdisciplinary data re-use, knowledge-sharing, data use in education, and more. We describe these concepts within the

  16. Knowledge Management Capabilities and Organizational Performance: An Investigation into the Effects of Knowledge Infrastructure and Processes on Organizational Performance

    ERIC Educational Resources Information Center

    Cho, Taejun

    2011-01-01

    Knowledge is one of the most important assets for surviving in the modern business environment. The effective management of that asset mandates continuous adaptation by organizations, and requires employees to strive to improve the company's work processes. Organizations attempt to coordinate their unique knowledge with traditional means as well…

  17. Knowledge Management at the Fast Flux Test Facility

    SciTech Connect

    Wootan, David W.; Omberg, Ronald P.

    2013-06-01

    One of the goals of the Department of Energy’s Office of Nuclear Energy, initiated under the Fuel Cycle Research and Development Program (FCRD) and continued under the Advanced Reactor Concepts Program (ARC) is to preserve the knowledge that has been gained in the United States on Liquid Metal Reactors (LMRs) that could support the development of an environmentally and economically sound nuclear fuel cycle. The Fast Flux Test Facility (FFTF) is the most recent LMR to operate in the United States, from 1982 to 1992, and was designed as a fully instrumented test reactor with on-line, real time test control and performance monitoring of components and tests installed in the reactor. The 10 years of operation of the FFTF provided a very useful framework for testing the advances in LMR safety technology based on passive safety features that may be of increased importance to new designs after the events at Fukushima. Knowledge preservation at the FFTF is focused on the areas of design, construction, and startup of the reactor, as well as on preserving information obtained from 10 years of successful operating history and extensive irradiation testing of fuels and materials. In order to ensure protection of information at risk, the program to date has sequestered reports, files, tapes, and drawings to allow for secure retrieval. The FFTF knowledge management program includes a disciplined and orderly approach to respond to client’s requests for documents and data in order to minimize the search effort and ensure that future requests for this information can be readily accommodated.

  18. Key success factors for clinical knowledge management systems: Comparing physician and hospital manager viewpoints.

    PubMed

    Chang, Sho-Fang; Hsieh, Ping-Jung; Chen, Hui-Fang

    2015-01-01

    The study explores the perceptions of physicians and hospital managers regarding the key success factors (KSFs) of a clinical knowledge management system (CKMS). It aims to eliminate the perception gap and gain more insights for a successful CKMS.A survey was conducted in four medical centers in Taiwan. A total of 340 questionnaires, including 15 for hospital managers and 70 for physicians in each hospital, were administered. The effective response rates are 78.3% and 56.1% respectively. Partial least square (PLS) were used to analyze the data.The results identified six KSFs of CKMS including system software and hardware, knowledge quality, system quality, organizational factors, user satisfaction, and policy factors. User satisfaction and policy factors have direct effects on perceived CKMS performance. Knowledge quality is regarded as an antecedent to user satisfaction, while system quality is the antecedent to both user satisfaction and policy factors. System software and hardware was supported only by managers, and organizational factors were supported only by physicians.Among the factors, this study highlighted the policy factor. Besides, the study provides hospital managers additional insights into physician requirements for organizational support. Third, more physician participation and involvement are recommended when introducing and developing a CKMS.

  19. Knowledge Management as an Indication of Organizational Maturity in Project Management: An Enhancement of the OPM3(c) Model

    ERIC Educational Resources Information Center

    Smith, Dedrick A.

    2010-01-01

    This dissertation reviews the knowledge management's role in organizational maturity in project management. It draws a direct linked between organizational maturity knowledge channels both informal and then formal and organizational project management maturity. The study uses a mixed method approach through online and telephone surveys that draws…

  20. A Framework for Integrating Knowledge Management with Risk Management for Information Technology Projects (RiskManiT)

    ERIC Educational Resources Information Center

    Karadsheh, Louay A.

    2010-01-01

    This research focused on the challenges experienced when executing risk management activities for information technology projects. The lack of adequate knowledge management support of risk management activities has caused many project failures in the past. The research objective was to propose a conceptual framework of the Knowledge-Based Risk…

  1. Semantic Categorization: A Comparison between Deaf and Hearing Children

    ERIC Educational Resources Information Center

    Ormel, Ellen A.; Gijsel, Martine A. R.; Hermans, Daan; Bosman, Anna M. T.; Knoors, Harry; Verhoeven, Ludo

    2010-01-01

    Learning to read is a major obstacle for children who are deaf. The otherwise significant role of phonology is often limited as a result of hearing loss. However, semantic knowledge may facilitate reading comprehension. One important aspect of semantic knowledge concerns semantic categorization. In the present study, the quality of the semantic…

  2. A Mode of Combined ERP and KMS Knowledge Management System Construction

    NASA Astrophysics Data System (ADS)

    Yuena, Kang; Yangeng, Wen; Qun, Zhou

    The core of ERP and knowledge management is quite similar; both will send appropriate knowledge (goods, funds) to the right people (position) at the right time. It is reasonable to believe that increase the knowledge management system in ERP will help companies achieve their goals better. This paper compares the concept of logical point of hall three-dimensional structure of the knowledge management system and the ERP in methodology level. And found they are very similar in the time dimension, logic dimension and knowledge dimension. This laid the basis of methodology in the simultaneous planning, implementation and applications. And then proposed a knowledge-based ERP Multi-Agent Management System Model. Finally, the paper described the process from planning to implementation of knowledge management ERP system with multi-Agent interaction and impact from three concepts, management thinking, software and system.

  3. A Collaborative Extensible User Environment for Simulation and Knowledge Management

    SciTech Connect

    Freedman, Vicky L.; Lansing, Carina S.; Porter, Ellen A.; Schuchardt, Karen L.; Guillen, Zoe C.; Sivaramakrishnan, Chandrika; Gorton, Ian

    2015-06-01

    In scientific simulation, scientists use measured data to create numerical models, execute simulations and analyze results from advanced simulators executing on high performance computing platforms. This process usually requires a team of scientists collaborating on data collection, model creation and analysis, and on authorship of publications and data. This paper shows that scientific teams can benefit from a user environment called Akuna that permits subsurface scientists in disparate locations to collaborate on numerical modeling and analysis projects. The Akuna user environment is built on the Velo framework that provides both a rich client environment for conducting and analyzing simulations and a Web environment for data sharing and annotation. Akuna is an extensible toolset that integrates with Velo, and is designed to support any type of simulator. This is achieved through data-driven user interface generation, use of a customizable knowledge management platform, and an extensible framework for simulation execution, monitoring and analysis. This paper describes how the customized Velo content management system and the Akuna toolset are used to integrate and enhance an effective collaborative research and application environment. The extensible architecture of Akuna is also described and demonstrates its usage for creation and execution of a 3D subsurface simulation.

  4. Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research

    PubMed Central

    de la Iglesia, D; Cachau, R E; García-Remesal, M; Maojo, V

    2014-01-01

    Nanotechnology represents an area of particular promise and significant opportunity across multiple scientific disciplines. Ongoing nanotechnology research ranges from the characterization of nanoparticles and nanomaterials to the analysis and processing of experimental data seeking correlations between nanoparticles and their functionalities and side effects. Due to their special properties, nanoparticles are suitable for cellular-level diagnostics and therapy, offering numerous applications in medicine, e.g. development of biomedical devices, tissue repair, drug delivery systems and biosensors. In nanomedicine, recent studies are producing large amounts of structural and property data, highlighting the role for computational approaches in information management. While in vitro and in vivo assays are expensive, the cost of computing is falling. Furthermore, improvements in the accuracy of computational methods (e.g. data mining, knowledge discovery, modeling and simulation) have enabled effective tools to automate the extraction, management and storage of these vast data volumes. Since this information is widely distributed, one major issue is how to locate and access data where it resides (which also poses data-sharing limitations). The novel discipline of nanoinformatics addresses the information challenges related to nanotechnology research. In this paper, we summarize the needs and challenges in the field and present an overview of extant initiatives and efforts. PMID:24932210

  5. Multiple sclerosis: basic knowledge and new insights in perioperative management.

    PubMed

    Makris, Alexandros; Piperopoulos, Alexandros; Karmaniolou, Iosifina

    2014-04-01

    Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system affecting young adults that may lead to significant disability. The clinical course varies among the types of the disease as well as among individuals. Herein we provide a brief review of the recent data concerning the clinical presentation, diagnosis, causes, and pathogenesis of MS as well as medication used, followed by the anesthetic considerations of patients diagnosed with the disease. To accomplish this, we conducted a systematic PubMed literature search for articles, using the terms multiple sclerosis, anesthesia, general, regional, perioperative, and preoperative, and we then manually reviewed the references from each pertinent article. Because randomized controlled trials on the field are rare, most information is derived by case reports and case series. We concluded that the disease itself as well as the treatment modalities may have several implications in the conduct of anesthesia and perioperative management of MS patients. General and regional anesthetic techniques have been successfully used. With thorough preoperative evaluation and in depth knowledge of the disease and its complications, the MS patients can be managed safely.

  6. Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research.

    PubMed

    de la Iglesia, D; Cachau, R E; García-Remesal, M; Maojo, V

    2013-11-27

    Nanotechnology represents an area of particular promise and significant opportunity across multiple scientific disciplines. Ongoing nanotechnology research ranges from the characterization of nanoparticles and nanomaterials to the analysis and processing of experimental data seeking correlations between nanoparticles and their functionalities and side effects. Due to their special properties, nanoparticles are suitable for cellular-level diagnostics and therapy, offering numerous applications in medicine, e.g. development of biomedical devices, tissue repair, drug delivery systems and biosensors. In nanomedicine, recent studies are producing large amounts of structural and property data, highlighting the role for computational approaches in information management. While in vitro and in vivo assays are expensive, the cost of computing is falling. Furthermore, improvements in the accuracy of computational methods (e.g. data mining, knowledge discovery, modeling and simulation) have enabled effective tools to automate the extraction, management and storage of these vast data volumes. Since this information is widely distributed, one major issue is how to locate and access data where it resides (which also poses data-sharing limitations). The novel discipline of nanoinformatics addresses the information challenges related to nanotechnology research. In this paper, we summarize the needs and challenges in the field and present an overview of extant initiatives and efforts.

  7. Institutional Researchers as Knowledge Managers in Universities: Envisioning New Roles for the IR Profession

    ERIC Educational Resources Information Center

    Teodorescu, Daniel

    2006-01-01

    Using concepts from Davenport and Prusak's "Working Knowledge" and other recent research on knowledge management, this article discusses the processes through which institutional knowledge is created, managed and transferred throughout the university and ways in which institutional researchers can improve these processes. A special emphasis is…

  8. Knowledge Assessment on Sustainable Water Resources Management for Irrigation - KASWARMI

    NASA Astrophysics Data System (ADS)

    Bardowicks, K.; Billib, M.; Holzapfel, E.; Lorite, I.; Farkas, I.; Fernández Cirelli, A.; Del Callejo, I.; Paz, V.; Montaña, E.; Gheyi, H.

    2009-04-01

    The EU funded KASWARMI project was performed from March 2007 until August 2008 by focusing on society key issues to contribute to a better use and management of the water resources in arid and semi-arid ecosystems. In that way, the project has aimed to deliver fundamentals for future research activities to improve the sustainability of irrigated agriculture in Latin America. The world's food production depends on the availability of water, a precious but limited resource. Irrigated agriculture is responsible for approximately 70 percent of all the freshwater withdrawn in the world and more water will be used for irrigation in the future, as world food production continuously increases in order to meet rising demand. The challenge for irrigated agriculture today is to contribute to the world's food production and improvement of food security through a more efficient, cleaner and integrated use of water (FAO). The main objective of KASWARMI was to build up a comprehensive knowledge base, including the evaluation of current state of the art, assembling international experience in an interdisciplinary scientific network on sustainable water resources management for irrigation. In six selected irrigated areas in Latin America a basic analysis of the major socio-economical, environmental, institutional and agrotechnical aspects was carried out. The approach of KASWARMI was to learn from the past and ongoing research activities to identify gaps and the scope for the collaboration of potential stakeholders (farmers, researchers, other water users, policy makers). The direct communication between the researchers and the stakeholders in the field study areas was used to identify their main needs, finding strategies for future activities to solve open questions of sustainable water resources management for irrigation in Latin America. More information is available at site www.kaswarmi.eu.

  9. Supporting academic health centers with knowledge management: learning from the Web.

    PubMed

    Littleton, Dawn

    2009-01-01

    In a 2003 publication, the Association of Academic Health Sciences Libraries (AAHSL) made explicit the many ways in which a library might contribute to an academic health center's success through knowledge management (KM). Building on Success: Charting the Future of Knowledge Management within the Academic Health Center elucidated the ways in which a library can serve as the center of an organization's KM initiatives. The study and application of knowledge management tools is formidable; unlike information management (IM), the field of knowledge management has roots in a seemingly infinite and wide-ranging number of professional and academic disciplines. The planning of institutional KM initiatives is not commonly discussed, and history shows knowledge management projects often fail to thrive. This column introduces the topic of knowledge management and includes suggested Web-based resources for further understanding and project planning.

  10. Knowledge Management in Taxonomy and Biostratigraphy using TaxonConcept Software

    NASA Astrophysics Data System (ADS)

    Klump, J.; Huber, R.; Goetz, S.

    2005-12-01

    The use of fossils to constrain age models for geological samples is not as straightforward as it might seem. Even though index fossils have been defined as biostratigraphic time markers ambiguity arises from the synonymous use of taxonomic names. Progress in our understanding of the origin of certain species have sometimes lead to substantial changes in the taxonomic classification of these organisms. TaxonConcept was created as part of the Stratigraphy.net initiative as a tool to manage taxonomic information and complex knowledge networks to help resolve taxonomic ambiguities in biostratigraphy. Its workflow is based on the principles of open nomenclature. Open nomenclature allows researchers to comment on the identification of a specimen which cannot exactly be determined and is frequently used in synonymy lists. The use of such synonymy lists in TaxonConcept allows to work with taxonomic classifications that are uncertain, or where several versions exist. Every single taxonomic entity in TaxonConcept is recorded with its relevant citations in the literature. This allows to manage information on taxonomy. The members of working groups using TaxonConcept can record their opinion on the taxonomic classification of each taxon in the framework of open nomenclature and annotate it in free text. This managed and structured collection of taxonomic opinions is an example of knowledge management. Taxonomic opinions are otherwise dispersed throughout the literature, if recorded at all, and are only available to the specialist. Assembled as a collection, they represent our knowledge on the taxonomy of a certain group of organisms. In the terminology of computer science, the semantic relationships between taxonomic terms are an ontology. Open nomenclature offers a formal framework that lends itself very well to describe the nature of the relations between taxonomic terms. The use of such synonymy lists in a taxonomic information system allows interesting search options

  11. How do we Remain Us in a Time of Change: Culture and Knowledge Management at NASA

    NASA Technical Reports Server (NTRS)

    Linde, Charlotte

    2003-01-01

    This viewgraph representation presents an overview of findings of a NASA agency-wide Knowledge Management Team considering culture and knowledge management issues at the agency. Specific issues identified by the team include: (1) NASA must move from being a knowledge hoarding culture to a knowledge sharing culture; (2) NASA must move from being center focused to being Agency focused; (3) NASA must capture the knowledge of a departing workforce. Topics considered include: what must NASA know to remain NASA, what were previous forms of knowledge reproduction and how has technological innovations changed these systems, and what changes in funding and relationships between contractors and NASA affected knowledge reproduction.

  12. Higher Education System and the "Open" Knowledge Transfer: A View from Perception of Senior Managers at University Knowledge Transfer Offices

    ERIC Educational Resources Information Center

    Sharifi, Hossein; Liu, Weisheng; Ismail, Hossam S.

    2014-01-01

    Higher education institutions (HEIs) have become increasingly entrepreneurial. Such a shift is highly dependent on the managers of university knowledge transfer offices whose perceptions can be critical in this transformation. This study examines such senior managers' perceptions concerning the "open" paradigm in relation with the…

  13. Knowledge Management Officers: Necessary or Redundant within Army Tactical Units

    DTIC Science & Technology

    2008-06-13

    7-2 24 Dr. Michael Prevou, during a discussion, Schofield Hall Ft Leavenworth, KS, October 9, 2007 25 The battle command officer initiative...knowledge, tacit knowledge made explicit (presumably through articulation), was coined implicit knowledge by Polanyi .54 In practice knowledge transfers

  14. Tools for Assembling and Managing Scalable Knowledge Bases

    DTIC Science & Technology

    2003-02-01

    1 1.1 Knowledge Translation .......................................................................................................................... 1...areas of the knowledge base and ontology construction process and are outlined in more detail below. 1.1 Knowledge Translation As mentioned above...during KB merging operations. 2.2 The Translation Problem Figure 2: The knowledge translation problem. The general problem we set out to solve is

  15. An informatics system to support knowledge management in the health sector--the South African National Health Knowledge Network.

    PubMed

    Louw, J A; Seebregts, C J; Makgoba, W M; Fouché, B

    2001-01-01

    This paper discusses the planning and development of a South African national health knowledge network. The methodology is in essence based on the principles of knowledge management and the drivers of a system of innovation. The knowledge network, SA HealthInfo, aims to provide a one-stop interactive forum/resource, for quality-controlled and evidence-based health research information, to a wide spectrum of users, at various levels of aggregation, with the necessary security arrangements and facilities for interaction among users to promote explicit (codified) and tacit knowledge flow. It will therefore stimulate the process of innovation within the South African health system.

  16. Knowledge Management Formal and Informal Mentoring: An Empirical Investigation in Lebanese Banks

    ERIC Educational Resources Information Center

    Karkoulian, Silva; Halawi, Leila A.; McCarthy, Richard V.

    2008-01-01

    Purpose: As businesses continue to forge ahead in the twenty-first century, knowledge management (KM) has materialized as a significant differentiator. The process of creating new knowledge, sharing, and preserving such knowledge, is crucial for achieving competitive advantage. To gain maximum benefit from new knowledge, it must be efficiently…

  17. Knowledge Management ERP Curriculum Design/Mapping (Theory and Development Tools)

    ERIC Educational Resources Information Center

    Swanson, Zane; Hepner, Michelle

    2011-01-01

    This study proposes a knowledge management framework for developing and managing enterprise resource planning (ERP) curriculum within business schools. Both theory and a practical implementation are addressed. The knowledge management (KM) framework has two components which utilize ERP from a big picture curriculum overview and a ground level…

  18. Towards the Reconciliation of Knowledge Management and e-Collaboration Systems

    ERIC Educational Resources Information Center

    Le Dinh, Thang; Rinfret, Louis; Raymond, Louis; Dong Thi, Bich-Thuy

    2013-01-01

    Purpose: The purpose of this paper is to propose an intelligent infrastructure for the reconciliation of knowledge management and e-collaboration systems. Design/Methodology/Approach:Literature on e-collaboration, information management, knowledge management, learning process, and intellectual capital is mobilised in order to build the conceptual…

  19. A Case Study: Leadership Style and Practice Leveraging Knowledge Management in Multigenerational Professional Learning Communities

    ERIC Educational Resources Information Center

    Giles-Weeks, Veda

    2014-01-01

    Age related demographic changes, within public school organizations are resulting in leadership challenges in leveraging organizational knowledge across four unique generational cohorts. Competitive success within schools has linkages to organizational cohesiveness and knowledge management (KM). Generational cohorts maintain values affecting…

  20. 'All hazards approach' to disaster management: the role of information and knowledge management, Boyd's OODA Loop, and network-centricity.

    PubMed

    von Lubitz, Dag K J E; Beakley, James E; Patricelli, Frédéric

    2008-12-01

    The ever-increasing complexity of disasters demands utilisation of knowledge that exists outside domains traditionally drawn upon in disaster management. To be operationally useful, such knowledge must he extracted, combined with information generated by the disaster itself, and transformed into actionable knowledge. The process, though, is hampered by existing, business-oriented approaches to knowledge management, by technical issues related to access to relevant, multi-domain information/knowledge, and by executive decision-making processes based predominantly on historical knowledge. Consequently, as shown by many recent incidents, the management of large-scale (mega) disasters is often inefficient and exceedingly costly. This paper demonstrates that the integration of modified information and knowledge management into the concepts of network-centric operations and network-enabled capabilities, and the employment of Boyd's OODA (Observe, Orient, Decide, and Act) Loop-based decision-making in unpredictable and dynamically changing environments, may address some of these problems.