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Details

Autor(en) / Beteiligte
Titel
Towards the semantic web : ontology-driven knowledge management [electronic resource]
Link zum Volltext
Beschreibungen/Notizen
  • Description based upon print version of record.
  • Includes bibliographical references (p. [267]-279) and index.
  • TOWARDS THE SEMANTIC WEB; Contents; Foreword; Biographies; List of Contributors; Acknowledgments; 1 Introduction; 2 OIL and DAML+OIL: Ontology Languages for the Semantic Web; 3 A Methodology for Ontology-based Knowledge Management; 4 Ontology Management: Storing, Aligning and Maintaining Ontologies; 5 Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema; 6 Generating Ontologies for the Semantic Web: OntoBuilder; 7 OntoEdit: Collaborative Engineering of Ontologies; 8 QuizRDF: Search Technology for the Semantic Web; 9 Spectacle
  • 10 OntoShare: Evolving Ontologies in a Knowledge Sharing System11 Ontology Middleware and Reasoning; 12 Ontology-based Knowledge Management at Work: The Swiss Life Case Studies; 13 Field Experimenting with Semantic Web Tools in a Virtual Organization; 14 A Future Perspective: Exploiting Peer-to-Peer and the Semantic Web for Knowledge Management; 15 Conclusions: Ontology-driven Knowledge Management - Towards the Semantic Web?; References; Index
  • With the current changes driven by the expansion of the World Wide Web, this book uses a different approach from other books on the market: it applies ontologies to electronically available information to improve the quality of knowledge management in large and distributed organizations. Ontologies are formal theories supporting knowledge sharing and reuse. They can be used to explicitly represent semantics of semi-structured information. These enable sophisticated automatic support for acquiring, maintaining and accessing information. Methodology and tools are developed for intelligent access
  • English
Sprache
Englisch
Identifikatoren
ISBN: 1-280-27090-X, 9786610270903, 0-470-29947-9, 0-470-85807-9, 0-470-85806-0
OCLC-Nummer: 52094617
Titel-ID: 9925036273306463
Format
1 online resource (312 p.)
Schlagworte
Semantic Web, Ontology, Knowledge acquisition (Expert systems)