Semantics, Web and Mining (eBook, PDF)

Joint International Workshop, EWMF 2005 and KDO 2005, Porto, Portugal, October 3-7, 2005, Revised Selected Papers
Redaktion: Ackermann, Markus; Svatek, Vojtech; Stumme, Gerd; Spiliopoulou, Myra; Semeraro, Giovanni; Mladenic, Dunja; Hotho, Andreas; Grobelnik, Marko; Berendt, Bettina; Someren, Maarten van

• Format: PDF

Produktbeschreibung

This book constitutes the thoroughly refereed and extended post-proceedings of the joint European Web Mining Forum, EWMF 2005, and the International Workshop on Knowledge Discovery and Ontologies, KDO 2005, held in association with ECML/PKDD in Porto, Portugal in October 2005. The 10 revised full papers presented together with one invited paper and one particularly fitting contribution from KDO 2004 were carefully selected for inclusion in the book.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 196
• Erscheinungstermin: 28. November 2006
• Englisch
• ISBN-13: 9783540476986
• Artikelnr.: 44130627

Autorenporträt

Markus Ackermann, University of Leipzig, Germany / Bettina Berendt, Humboldt-Universität zu Berlin, Germany / Marko Grobelnik, J. Stefan Institute, Ljubliana, Slovenia / Andreas Hotho, University of Kassel, Germany / Dunja Mladenic, J. Stefan Institute, Ljubliana, Slovenia / Giovanni Semeraro, University of Bari, Italy / Myra Spiliopoulou, University of Magdeburg, Germany / Gerd Stumme, Universität Kassel, Germany / Vojtech Svatek, University of Economics, Prague, Czech Republic / Maarten van Someren, University of Amsterdam, Netherlands

Inhaltsangabe

EWMF Papers.- A Website Mining Model Centered on User Queries.- WordNet-Based Word Sense Disambiguation for Learning User Profiles.- Visibility Analysis on the Web Using Co-visibilities and Semantic Networks.- Link-Local Features for Hypertext Classification.- Information Retrieval in Trust-Enhanced Document Networks.- Semi-automatic Creation and Maintenance of Web Resources with webTopic.- KDO Papers on KDD for Ontology.- Discovering a Term Taxonomy from Term Similarities Using Principal Component Analysis.- Semi-automatic Construction of Topic Ontologies.- Evaluation of Ontology Enhancement Tools.- KDO Papers on Ontology for KDD.- Introducing Semantics in Web Personalization: The Role of Ontologies.- Ontology-Enhanced Association Mining.- Ontology-Based Rummaging Mechanisms for the Interpretation of Web Usage Patterns.