Semantics, Web and Mining Joint International Workshops, EWMF 2005 and KDO 2005, Porto, Portugal, October 3-7, 2005, Revised Selected Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ackermann, Markus (Editor), Berendt, Bettina (Editor), Grobelnik, Marko (Editor), Hotho, Andreas (Editor), Mladenič, Dunja (Editor), Semeraro, Giovanni (Editor), Spiliopoulou, Myra (Editor), Stumme, Gerd (Editor), Svátek, Vojtěch (Editor), Someren, Maarten van (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Series: Lecture Notes in Computer Science, 4289
• Subjects: Computer science.; Computer communication systems.; Database management.; Information storage and retrieval.; Artificial intelligence.; Computers and civilization.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computer Communication Networks.; Database Management.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Computers and Society.

Finding knowledge – or meaning – in data is the goal of every knowledge d- covery e?ort. Subsequent goals and questions regarding this knowledge di?er amongknowledgediscovery(KD) projectsandapproaches. Onecentralquestion is whether and to what extent the meaning extracted from the data is expressed...

Table of Contents:

• EWMF Papers
• A Website Mining Model Centered on User Queries
• WordNet-Based Word Sense Disambiguation for Learning User Profiles
• Visibility Analysis on the Web Using Co-visibilities and Semantic Networks
• Link-Local Features for Hypertext Classification
• Information Retrieval in Trust-Enhanced Document Networks
• Semi-automatic Creation and Maintenance of Web Resources with webTopic
• KDO Papers on KDD for Ontology
• Discovering a Term Taxonomy from Term Similarities Using Principal Component Analysis
• Semi-automatic Construction of Topic Ontologies
• Evaluation of Ontology Enhancement Tools
• KDO Papers on Ontology for KDD
• Introducing Semantics in Web Personalization: The Role of Ontologies
• Ontology-Enhanced Association Mining
• Ontology-Based Rummaging Mechanisms for the Interpretation of Web Usage Patterns.