Studies in Computational Intelligence

Knowledge Discovery Enhanced with Semantic and Social Information

Editors: Berendt, B., Mladenic, D., de Gemmis, M., Semeraro, G., Spiliopoulou, M., Stumme, G., Svatek, V., #elezný, F. (Eds.)

  • Presents latest results on knowledge discovery enhanced with semantic and social information

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eBook $159.00
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  • ISBN 978-3-642-01891-6
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Hardcover $209.00
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  • ISBN 978-3-642-01890-9
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Softcover $209.00
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  • ISBN 978-3-642-42609-4
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About this book

This book is a showcase of recent advances in knowledge discovery enhanced with semantic and social information. It includes eight contributed chapters that grew out of two joint workshops at ECML/PKDD 2007.
There is general agreement that the effectiveness of Machine Learning and Knowledge Discovery output strongly depends not only on the quality of source data and the sophistication of learning algorithms, but also on additional input provided by domain experts. There is less agreement on whether, when and how such input can and should be formalized as explicit prior knowledge.
The six chapters in the first part of the book aim to investigate this aspect by addressing four different topics: inductive logic programming; the role of human users; investigations of fully automated methods for integrating background knowledge; the use of background knowledge for Web mining. The two chapters in the second part are motivated by the Web 2.0 (r)evolution and the increasingly strong role of user-generated content. The contributions emphasize the vision of the Web as a social medium for content and knowledge sharing.

Table of contents (8 chapters)

  • On Ontologies as Prior Conceptual Knowledge in Inductive Logic Programming

    Lisi, Francesca A. (et al.)

    Pages 3-17

  • A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery

    Atzmueller, Martin (et al.)

    Pages 19-36

  • A Study of the SEMINTEC Approach to Frequent Pattern Mining

    Józefowska, Joanna (et al.)

    Pages 37-51

  • Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages

    Esposito, Floriana (et al.)

    Pages 53-70

  • The Ex Project: Web Information Extraction Using Extraction Ontologies

    Labský, Martin (et al.)

    Pages 71-88

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-3-642-01891-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-3-642-01890-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-3-642-42609-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Knowledge Discovery Enhanced with Semantic and Social Information
Editors
  • Bettina Berendt
  • Dunja Mladenic
  • Marco de Gemmis
  • Giovanni Semeraro
  • Myra Spiliopoulou
  • Gerd Stumme
  • Vojtech Svatek
  • Filip #elezný
Series Title
Studies in Computational Intelligence
Series Volume
220
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-01891-6
DOI
10.1007/978-3-642-01891-6
Hardcover ISBN
978-3-642-01890-9
Softcover ISBN
978-3-642-42609-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 143
Topics