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

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Edition: 1

Series: Lecture Notes in Computer Science 3209 : Lecture Notes in Artificial Intelligence

ISBN: 3540232583, 9783540232582, 9783540301233

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Pages: 206/209

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Bettina Berendt, Andreas Hotho, Dunja Mladenic (auth.), Bettina Berendt, Andreas Hotho, Dunja Mladenič, Maarten van Someren, Myra Spiliopoulou, Gerd Stumme (eds.)3540232583, 9783540232582, 9783540301233

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.

Table of contents :
Front Matter….Pages –
A Roadmap for Web Mining: From Web to Semantic Web….Pages 1-22
On the Deployment of Web Usage Mining….Pages 23-42
Mining the Web to Add Semantics to Retail Data Mining….Pages 43-56
Semantically Enhanced Collaborative Filtering on the Web….Pages 57-76
Mapping Documents onto Web Page Ontology….Pages 77-96
Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing….Pages 97-112
Web Community Directories: A New Approach to Web Personalization….Pages 113-129
Evaluation and Validation of Two Approaches to User Profiling….Pages 130-147
Greedy Recommending Is Not Always Optimal….Pages 148-163
An Approach to Estimate the Value of User Sessions Using Multiple Viewpoints and Goals….Pages 164-180
Monitoring the Evolution of Web Usage Patterns….Pages 181-200
Back Matter….Pages –

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