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Web Mining: From Web to Semantic Web

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

  • Conference proceedings
  • © 2004

Overview

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: EWMF 2003.

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Table of contents (11 papers)

Other volumes

  1. Web Mining: From Web to Semantic Web

Keywords

About this book

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.

Editors and Affiliations

  • Department of Computer Science, K.U. Leuven, Heverlee, Belgium

    Bettina Berendt

  • Knowledge & Data Engineering Group, University of Kassel, Kassel, Germany

    Andreas Hotho

  • Jožef Stefan Institute, Ljubljana, Slovenia

    Dunja Mladenič

  • Human Computer Studies Lab, University of Amsterdam, Amsterdam, The Netherlands

    Maarten Someren

  • Faculty of Computer Science, Otto-von-Guericke-University Magdeburg, Germany

    Myra Spiliopoulou

  • Research Center L3S, Hannover, Germany

    Gerd Stumme

Bibliographic Information

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