2005
DOI: 10.1108/13673270510622465
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Next generation knowledge access

Abstract: Purpose-The paper shows how access to knowledge can be enhanced by using a set of innovative approaches and technologies based on the semantic web. Design/methodology/approach-Emerging trends in knowledge access are considered followed by a description of how ontologies and semantics can contribute. A set of tools is then presented which is based on semantic web technology. For each of these tools a detailed description of the approach is given together with an analysis of related and future work as appropriat… Show more

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Cited by 19 publications
(7 citation statements)
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“…Alternative is, like with domain ontologies, to apply ontology mapping techniques in order to map between two different user model ontologies [35]. Furthermore, it is also possible to learn user profiles and automatically construct user model ontologies for a specific system or a class of systems [12].…”
Section: User Modelmentioning
confidence: 99%
“…Alternative is, like with domain ontologies, to apply ontology mapping techniques in order to map between two different user model ontologies [35]. Furthermore, it is also possible to learn user profiles and automatically construct user model ontologies for a specific system or a class of systems [12].…”
Section: User Modelmentioning
confidence: 99%
“…Specifically, users can access knowledge through searching, browsing, personalization, accessibility options, multimedia and multilingual support. The mechanism highlights the importance of tools that are able to integrate capabilities for searching information with greater precision and tools that are able to personalize the content and presentation of the interface (Davies et al, 2005).…”
Section: Knowledge Access (Ka) Mechanismmentioning
confidence: 99%
“…In this approach, explicit knowledge of the KMS is annotated in a form that is machineprocessable metadata based on the domain or topic-specific ontology (Davies et al, 2005;Mentzas et al, 2001). Using the ontology, one KMS can communicate with others in spite of the underlying system, syntax, and structure heterogeneities, thus allowing the involved systems to understand incoming requests and return the required knowledge as they are using the same set of vocabularies.…”
Section: Ontology Knowledge Managementmentioning
confidence: 99%