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Web Mining: From Web to Semantic Web

First European Web Mining Forum, EWMF 2003, Cavtat-Dubrovnik, Croatia, September 22, 2003, Invited and Selected Revised Papers

  • Bettina Berendt
  • Andreas Hotho
  • Dunja Mladenič
  • Maarten van Someren
  • Myra Spiliopoulou
  • Gerd Stumme
Conference proceedings EWMF 2003

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3209)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3209)

Table of contents

  1. Front Matter
  2. Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou, Gerd Stumme
    Pages 1-22
  3. Sarabjot Singh Anand, Maurice Mulvenna, Karine Chevalier
    Pages 23-42
  4. Bamshad Mobasher, Xin Jin, Yanzan Zhou
    Pages 57-76
  5. Dunja Mladenić, Marko Grobelnik
    Pages 77-96
  6. Georgios Sigletos, Georgios Paliouras, Constantine D. Spyropoulos, Michalis Hatzopoulos
    Pages 97-112
  7. Dimitrios Pierrakos, Georgios Paliouras, Christos Papatheodorou, Vangelis Karkaletsis, Marios Dikaiakos
    Pages 113-129
  8. F. Esposito, G. Semeraro, S. Ferilli, M. Degemmis, N. Di Mauro, T. M. A. Basile et al.
    Pages 130-147
  9. Maarten van Someren, Vera Hollink, Stephan ten Hagen
    Pages 148-163
  10. E. Menasalvas, S. Millán, M. S. Pérez, E. Hochsztain, A. Tasistro
    Pages 164-180
  11. Steffan Baron, Myra Spiliopoulou
    Pages 181-200
  12. Back Matter

About these proceedings

Introduction

In the last years, research on Web mining has reached maturity and has broadened in scope. Two different but interrelated research threads have emerged, based on the dual nature of the Web: – The Web is a practically in?nite collection of documents: The acquisition and - ploitation of information from these documents asks for intelligent techniques for information categorization, extraction and search, as well as for adaptivity to the interests and background of the organization or person that looks for information. – The Web is a venue for doing business electronically: It is a venue for interaction, information acquisition and service exploitation used by public authorities, n- governmental organizations, communities of interest and private persons. When observed as a venue for the achievement of business goals, a Web presence should be aligned to the objectives of its owner and the requirements of its users. This raises the demand for understandingWeb usage, combining it with other sources of knowledge inside an organization, and deriving lines of action. ThebirthoftheSemanticWebatthebeginningofthedecadeledtoacoercionofthetwo threadsintwoaspects:(i)theextractionofsemanticsfromtheWebtobuildtheSemantic Web;and(ii)theexploitationofthesesemanticstobettersupportinformationacquisition and to enhance the interaction for business and non-business purposes. Semantic Web mining encompasses both aspects from the viewpoint of knowledge discovery.

Keywords

Web Mining association rule mining collaborati data mining e-commerce knowledge discovery knowledge representation ontology recommender systems semantic web semantic web mining semantics user profiling web personalization web usage mining

Editors and affiliations

  • Bettina Berendt
    • 1
  • Andreas Hotho
    • 2
  • Dunja Mladenič
    • 3
  • Maarten van Someren
    • 4
  • Myra Spiliopoulou
    • 5
  • Gerd Stumme
    • 6
  1. 1.Department of Computer ScienceK.U. LeuvenHeverleeBelgium
  2. 2.Knowledge & Data Engineering GroupUniversity of KasselKasselGermany
  3. 3.Jožef Stefan InstituteLjubljanaSlovenia
  4. 4.Human Computer Studies LabUniversity of AmsterdamAmsterdamThe Netherlands
  5. 5.Faculty of Computer ScienceOtto-von-Guericke-University MagdeburgGermany
  6. 6.Research Center L3SHannoverGermany

Bibliographic information

  • DOI https://doi.org/10.1007/b100615
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-23258-2
  • Online ISBN 978-3-540-30123-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site