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Semantic Knowledge Management

Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-x
  2. Introduction to Semantic Knowledge Management

    • John Davies, Marko Grobelnik, Dunja Mladenić
    Pages 1-2
  3. Ontology Management

    • Stephan Bloehdorn, Peter Haase, Zhisheng Huang, York Sure, Johanna Völker, Frank van Harmelen et al.
    Pages 3-20
  4. Knowledge Discovery for Semantic Web

    • Dunja Mladenić, Marko Grobelnik, Blaž Fortuna, Miha Grćar
    Pages 21-36
  5. Human Language Technologies

    • Kalina Bontcheva, Brian Davis, Adam Funk, Yaoyong Li, Ting Wang
    Pages 37-49
  6. Shared Ontology for Knowledge Management

    • Atanas Kiryakov, Borislav Popov, Ilian Kitchukov, Krasimir Angelov
    Pages 61-83
  7. Semantically Enhanced Search and Browse

    • Alistair Duke, Jôrg Heizmann
    Pages 85-102
  8. Semantic Web for Knowledge Sharing

    • Nicholas J. Kings, John Davies
    Pages 103-111
  9. Natural Language Generation from Ontologies

    • Kalina Bontcheva, Brian Davis
    Pages 113-127
  10. Ontology Generation from Social Networks

    • Marko Grobelnik, Dunja Mladenić, Blaž Fortuna
    Pages 129-139
  11. Capturing Document Semantics for Ontology Generation and Document Summarization

    • David Baxter, Bryan Klimt, Marko Grobelnik, David Schneider, Michael Witbrock, Dunja Mladenić
    Pages 141-154
  12. Visualization of Temporal Semantic Spaces

    • Blaž Fortuna, Dunja Mladenić, Marko Grobelnik
    Pages 155-169
  13. Semantic MediaWiki

    • Denny Vrandečić, Markus Krötzsch
    Pages 171-179
  14. Semantic Technology for Professional Judicial Knowledge

    • Pompeu Casanovas, Núria Casellas, Joan-Josep Vallbé, Marta Poblet, Jesús Contreras, Mercedes Blázquez et al.
    Pages 199-214
  15. Semantic Web for Knowledge Reuse in Business Processes

    • Jasmin Franz, Ralph Traphöner
    Pages 215-229
  16. User Quality and Business Benefit of Semantic Knowledge Management Applications

    • Tom Bösser, Nuria Casellas, Elke-Maria Melchior, Ian Thurlow, Joan-Josep Vallbé
    Pages 231-244
  17. Challenges of Semantic Knowledge Management

    • John Davies, Marko Grobelnik, Dunja Mladenić
    Pages 245-247
  18. Back Matter

    Pages 249-251

About this book

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.

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)

Editors and Affiliations

  • BTexact Technologies, Ipswich, United Kingdom

    John Davies

  • Jožef Stefan Institute, SI-1000, Slovenia

    Marko Grobelnik, Dunja Mladenić

About the editors

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.estc2007.org) and co-organiser of the ESWC conference series and has written and edited many papers and books in the area of semantic technology and its business applications, web-based information management and knowledge management. He also received the BT Technology Award for Technology Entrepreneurship for his contribution to the creation of Infonic.

Dr. Dunja Mladenic works as a researcher at the Department of Knowledge Technologies of the J. Stefan Institute, Ljubljana, Slovenia since 1992 and is an expert in Machine Learning, Data Mining and Text Mining techniques and their application to real-world problems in different areas such as publishing, medicine, pharmacology, manufacturing, economy. Her current research focuses on data analysis, with particular interest in learning from Text and the Web including personal intelligent agents. She has edited many books and papers in refereed conferences and journals.

Marko Grobelnik is an expert in analysis of large amounts of complex data with the purpose to extract useful knowledge. In particular, his areas of expertise comprise: Data Mining, Text Mining, Information Extraction, Link Analysis, and Data Visualization as well as more integrative areas such as Semantic Web, Knowledge Management and Artificial Intelligence. Apart from research on theoretical aspects of unconventional data analysis techniques, he has valuable experience in the field of practical applications and development of business solutions based on the innovative technologies. He has published many papers in refereed conferences and journals.

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access