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Semantic Knowledge Management

Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies

Editors: Davies, John Francis, Grobelnik, Marko, Mladenic, Dunja (Eds.)

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eBook $89.00
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  • ISBN 978-3-540-88845-1
  • Digitally watermarked, DRM-free
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  • Immediate eBook download after purchase
Hardcover $119.00
price for USA
  • ISBN 978-3-540-88844-4
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  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
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  • ISBN 978-3-642-10028-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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.

About the authors

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.

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)

Table of contents (18 chapters)

  • Introduction to Semantic Knowledge Management

    Davies, John (et al.)

    Pages 1-2

  • Ontology Management

    Bloehdorn, Stephan (et al.)

    Pages 3-20

  • Knowledge Discovery for Semantic Web

    Mladenić, Dunja (et al.)

    Pages 21-36

  • Human Language Technologies

    Bontcheva, Kalina (et al.)

    Pages 37-49

  • OntoSTUDIO® as a Ontology Engineering Environment

    Weiten, Moritz

    Pages 51-60

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-3-540-88845-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.00
price for USA
  • ISBN 978-3-540-88844-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA
  • ISBN 978-3-642-10028-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Semantic Knowledge Management
Book Subtitle
Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies
Editors
  • John Francis Davies
  • Marko Grobelnik
  • Dunja Mladenic
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-88845-1
DOI
10.1007/978-3-540-88845-1
Hardcover ISBN
978-3-540-88844-4
Softcover ISBN
978-3-642-10028-4
Edition Number
1
Number of Pages
X, 252
Topics