Web Mining: From Web to Semantic Web

1. Front Matter

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2. A Roadmap for Web Mining: From Web to Semantic Web

   • Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou, Gerd Stumme

   Pages 1-22

3. On the Deployment of Web Usage Mining

   • Sarabjot Singh Anand, Maurice Mulvenna, Karine Chevalier

   Pages 23-42

4. Mining the Web to Add Semantics to Retail Data Mining

   • Rayid Ghani

   Pages 43-56

5. Semantically Enhanced Collaborative Filtering on the Web

   • Bamshad Mobasher, Xin Jin, Yanzan Zhou

   Pages 57-76

6. Mapping Documents onto Web Page Ontology

   • Dunja Mladenić, Marko Grobelnik

   Pages 77-96

7. Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing

   • Georgios Sigletos, Georgios Paliouras, Constantine D. Spyropoulos, Michalis Hatzopoulos

   Pages 97-112

8. Web Community Directories: A New Approach to Web Personalization

   • Dimitrios Pierrakos, Georgios Paliouras, Christos Papatheodorou, Vangelis Karkaletsis, Marios Dikaiakos

   Pages 113-129

9. Evaluation and Validation of Two Approaches to User Profiling

   • F. Esposito, G. Semeraro, S. Ferilli, M. Degemmis, N. Di Mauro, T. M. A. Basile et al.

   Pages 130-147

10. Greedy Recommending Is Not Always Optimal

    • Maarten van Someren, Vera Hollink, Stephan ten Hagen

    Pages 148-163

11. An Approach to Estimate the Value of User Sessions Using Multiple Viewpoints and Goals

    • E. Menasalvas, S. Millán, M. S. Pérez, E. Hochsztain, A. Tasistro

    Pages 164-180

12. Monitoring the Evolution of Web Usage Patterns

    • Steffan Baron, Myra Spiliopoulou

    Pages 181-200

13. Back Matter

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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.

• 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

• 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

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