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From Web to Social Web: Discovering and Deploying User and Content Profiles

Workshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006. Revised Selected and Invited Papers

  • Editors
  • Bettina Berendt
  • Andreas Hotho
  • Dunja Mladenic
  • Giovanni Semeraro
Conference proceedings WebMine 2006

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4737)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4737)

Table of contents

  1. Front Matter
  2. Conor Hayes, Paolo Avesani, Uldis Bojars
    Pages 1-20
  3. Katharina Probst, Rayid Ghani, Marko Krema, Andy Fano, Yan Liu
    Pages 41-60
  4. Giovanni Semeraro, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops
    Pages 61-81
  5. Oliver Flasch, Andreas Kaspari, Katharina Morik, Michael Wurst
    Pages 122-141
  6. Sarabjot Singh Anand, Bamshad Mobasher
    Pages 142-160
  7. Back Matter

About these proceedings

Introduction

The World Wide Web is a rich source of information about human behavior. It containslarge amount of data organizedvia interconnected Web pages,traces of information search, user feedback on items of interest, etc. In addition to large data volumes, one of the important characteristics of the Web is its dynamics, where content,structure and usagearechanging over time. This showsup in the rise of related research areas like communities of practice, knowledge mana- ment, Web communities, and peer-to-peer. In particular the notion of colla- rative work and thus the need of its systematic analysis become more and more important. For instance, to develop e?ective Web applications, it is essential to analyze patterns hidden in the usage of Web resources, their contents and their interconnections. Machine learning and data mining methods have been used extensively to ?nd patterns in usage of the network by exploiting both contents and link structures. We have investigated these topics in a series of workshops on Semantic Web Mining (2001, 2002) at the European Conference on Machine Learning / Pr- ciples and Practice of Knowledge Discovery from Databases (ECML/PKDD) conference series, in the selection of papers for the post-proceedings of the - ropean Web Mining Forum 2003 Workshop, published as the Springer LNAI volume 3209 “Web Mining: From Web to Semantic Web” in 2004, as well as in the Knowledge Discovery and Ontologies workshop in 2004 and in the selection ofpapersfor thepost-proceedingsofthe ECML/PKDD2005jointworkshopson Web Mining (European Web Mining Forum) and on Knowledge Discovery and

Keywords

Extensible Markup Language (XML) Web 2.0 Web Mining Web usage mining aspect-based tagging attribute-value pair extraction blog analysis data mining knowledge discovery organization recommender system www mining

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-74951-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-74950-9
  • Online ISBN 978-3-540-74951-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site