Knowledge Discovery Enhanced with Semantic and Social Information

• Corporate Author: SpringerLink (Online service)
• Other Authors: Berendt, Bettina (Editor), Mladenič, Dunja (Editor), Gemmis, Marco de (Editor), Semeraro, Giovanni (Editor), Spiliopoulou, Myra (Editor), Stumme, Gerd (Editor), Svátek, Vojtěch (Editor), Železný, Filip (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 220
• Subjects: Engineering.; Artificial intelligence.; Semantics.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

This book is a showcase of recent advances in knowledge discovery enhanced with semantic and social information. It includes eight contributed chapters that grew out of two joint workshops at ECML/PKDD 2007. There is general agreement that the effectiveness of Machine Learning and Knowledge Discover...

Table of Contents:

• Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery
• On Ontologies as Prior Conceptual Knowledge in Inductive Logic Programming
• A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery
• A Study of the SEMINTEC Approach to Frequent Pattern Mining
• Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages
• The Ex Project: Web Information Extraction Using Extraction Ontologies
• Dealing with Background Knowledge in the SEWEBAR Project
• Web Mining 2.0
• Item Weighting Techniques for Collaborative Filtering
• Using Term-Matching Algorithms for the Annotation of Geo-services.