Semantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, And Human Language Technologies: Integrating by John Francis DaviesSemantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, And Human Language Technologies: Integrating by John Francis Davies

Semantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, And Human…

byJohn Francis Davies

Paperback | November 10, 2010

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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.

Dr John Davies leads the Next Generation Web research division at BT. Current interests centre around the application of semantic web and Web 2.0 technology to knowledge management, business intelligence, information integration and service-oriented environments. He is chairman of the European Semantic Technology Conference series (www...
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Title:Semantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, And Human…Format:PaperbackDimensions:252 pagesPublished:November 10, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642100287

ISBN - 13:9783642100284

Reviews

Table of Contents

to Semantic Knowledge Management.- Ontology Management.- Knowledge Discovery for Semantic Web.- Human Language Technologies.- OntoSTUDIO® 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.

Editorial Reviews

From the reviews:"This book consists of a collection of papers on different aspects of semantic Web technology: ontology management, knowledge discovery, and human language technologies. . This book is a good resource for those who wish to learn about the different problems that semantic knowledge management techniques address, including how to apply the techniques. . the interested reader may use the lists of references provided in each chapter to learn more." (J. Hodges, ACM Computing Reviews, July, 2009)"Semantic Knowledge Management edited by John Davies, Marko Grobelnik and Dunja Mladenic, provides an overview of the results of the Semantic Knowledge Technologies (SEKT) project . . this book presents the design, implementation, and evaluation of several semantically-enhanced information retrieval applications. . I would . recommend this book to anyone who wants to get a good grasp on how semantic technologies can be applied to enhance traditional information retrieval systems." (David Vallet, Information Retrieval, February, 2010)