Foundations of Fuzzy Logic and Semantic Web Languages

Managing vagueness/fuzziness is starting to play an important role in Semantic Web research, with a large number of research efforts underway. Foundations of Fuzzy Logic and Semantic Web Languages provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within Semantic

Umberto Straccia is a researcher at the Istituto di Scienze e di Tecnologie dell'Informazione (ISTI) of the Italian National Council of Research (CNR). He received a Ph.D. in computer science from the University of Dortmund. His research interests include fuzzy logic, knowledge representation and reasoning, semantic web languages, machine learning, and decision making.

The Quest for Fuzzy Logic in Semantic Web Languages. SEMANTIC WEB LANGUAGES BASICS: Introduction. Resource Description Language RDF and RDF Schema. Web Ontology Language OWL. Rule Languages. Query Languages for SWL-Based Knowledge Bases. FUZZY LOGICS AND SEMANTIC WEB LANGUAGES: Introduction. Fuzzy Sets and Mathematical Fuzzy Logic Basics. Fuzzy RDF and RDFS. Fuzzy OWL. Fuzzy Rule Languages. Appendices. Bibliography.