Lecture Notes in Artificial Intelligence

Semantics, Web and Mining

Joint International Workshop, EWMF 2005 and KDO 2005, Porto, Portugal, October 3-7, 2005, Revised Selected Papers

Editors: Ackermann, M., Berendt, B., Grobelnik, M., Hotho, A., Mladenic, D., Semeraro, G., Spiliopoulou, M., Stumme, G., Svatek, V., Someren, M. van (Eds.)

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About this book

Finding knowledge – or meaning – in data is the goal of every knowledge d- covery e?ort. Subsequent goals and questions regarding this knowledge di?er amongknowledgediscovery(KD) projectsandapproaches. Onecentralquestion is whether and to what extent the meaning extracted from the data is expressed in a formal way that allows not only humans but also machines to understand and re-use it, i. e. , whether the semantics are formal semantics. Conversely, the input to KD processes di?ers between KD projects and approaches. One central questioniswhetherthebackgroundknowledge,businessunderstanding,etc. that the analyst employs to improve the results of KD is a set of natural-language statements, a theory in a formal language, or somewhere in between. Also, the data that are being mined can be more or less structured and/or accompanied by formal semantics. These questions must be asked in every KD e?ort. Nowhere may they be more pertinent, however, than in KD from Web data (“Web mining”). This is due especially to the vast amounts and heterogeneity of data and ba- ground knowledge available for Web mining (content, link structure, and - age), and to the re-use of background knowledge and KD results over the Web as a global knowledge repository and activity space. In addition, the (Sem- tic) Web can serve as a publishing space for the results of knowledge discovery from other resources, especially if the whole process is underpinned by common ontologies.

Table of contents (12 chapters)

  • A Website Mining Model Centered on User Queries

    Baeza-Yates, Ricardo (et al.)

    Pages 1-17

  • WordNet-Based Word Sense Disambiguation for Learning User Profiles

    Degemmis, M. (et al.)

    Pages 18-33

  • Visibility Analysis on the Web Using Co-visibilities and Semantic Networks

    Kiefer, Peter (et al.)

    Pages 34-50

  • Link-Local Features for Hypertext Classification

    Utard, Hervé (et al.)

    Pages 51-64

  • Information Retrieval in Trust-Enhanced Document Networks

    Stein, Klaus (et al.)

    Pages 65-81

Buy this book

eBook $74.99
price for USA in USD (gross)
  • ISBN 978-3-540-47698-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA in USD
  • ISBN 978-3-540-47697-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Semantics, Web and Mining
Book Subtitle
Joint International Workshop, EWMF 2005 and KDO 2005, Porto, Portugal, October 3-7, 2005, Revised Selected Papers
Editors
  • Markus Ackermann
  • Bettina Berendt
  • Marko Grobelnik
  • Andreas Hotho
  • Dunja Mladenic
  • Giovanni Semeraro
  • Myra Spiliopoulou
  • Gerd Stumme
  • Vojtech Svatek
  • Maarten van Someren
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
4289
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-47698-6
DOI
10.1007/11908678
Softcover ISBN
978-3-540-47697-9
Edition Number
1
Number of Pages
X, 196
Topics