Semantic knowledge management : integrating ontology management, knowledge discovery, and human language technologies
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Bibliographic Information
Semantic knowledge management : integrating ontology management, knowledge discovery, and human language technologies
Springer, c2009
Available at / 6 libraries
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University of Tsukuba Library, Library on Library and Information Science
007.58-D4610009007901
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Note
Contributors: Krasimir Angelov ... [et al.]
Includes bibliographical references and index
Description and Table of Contents
Description
Despite its explosive growth over the last decade, the Web remains essentially a tool to allow humans to access information. Semantic Web technologies like RDF, OWL and other W3C standards aim to extend the Web's capability through increased availability of machine-processable information.
Davies, Grobelnik and Mladenic have grouped contributions from renowned researchers into four parts: technology; integration aspects of knowledge management; knowledge discovery and human language technologies; and case studies. Together, they offer a concise vision of semantic knowledge management, ranging from knowledge acquisition to ontology management to knowledge integration, and their applications in domains such as telecommunications, social networks and legal information processing.
This book is an excellent combination of fundamental research, tools and applications in Semantic Web technologies. It serves the fundamental interests of researchers and developers in this field in both academia and industry who need to track Web technology developments and to understand their business implications.
Table of Contents
to Semantic Knowledge Management.- Ontology Management.- Knowledge Discovery for Semantic Web.- Human Language Technologies.- OntoSTUDIO (R) as a Ontology Engineering Environment.- Shared Ontology for Knowledge Management.- Semantically Enhanced Search and Browse.- Semantic Web for Knowledge Sharing.- Natural Language Generation from Ontologies.- Ontology Generation from Social Networks.- Capturing Document Semantics for Ontology Generation and Document Summarization.- Visualization of Temporal Semantic Spaces.- Semantic MediaWiki.- Deploying and Evaluating Semantic Technologies in a Digital Library.- Semantic Technology for Professional Judicial Knowledge.- Semantic Web for Knowledge Reuse in Business Processes.- User Quality and Business Benefit of Semantic Knowledge Management Applications.- Challenges of Semantic Knowledge Management.
by "Nielsen BookData"