Foundations of Fuzzy Logic and Semantic Web Languages: Chapman & Hall/CRC Studies in Informatics Series
Autor Umberto Stracciaen Limba Engleză Hardback – 27 aug 2013
- Triple languages RDF and RDFS
- Conceptual languages OWL and OWL 2, and their profiles OWL EL, OWL QL, and OWL RL
- Rule-based languages, such as SWRL and RIF
With an extensive bibliography, this book provides in-depth insight into fuzzy Semantic Web languages for non-fuzzy set theory and fuzzy logic experts. It also helps researchers of non-Semantic Web languages get a better understanding of the theoretical fundamentals of Semantic Web languages.
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Specificații
ISBN-13: 9781439853474
ISBN-10: 1439853479
Pagini: 386
Ilustrații: 36 b/w images and 75 tables
Dimensiuni: 156 x 234 x 23 mm
Greutate: 0.68 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Studies in Informatics Series
Locul publicării:Boca Raton, United States
ISBN-10: 1439853479
Pagini: 386
Ilustrații: 36 b/w images and 75 tables
Dimensiuni: 156 x 234 x 23 mm
Greutate: 0.68 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Studies in Informatics Series
Locul publicării:Boca Raton, United States
Public țintă
Semantic Web researchers; graduate students and researchers in fuzzy logic.Cuprins
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.
Notă biografică
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.
Descriere
This book is the first to combine coverage of fuzzy logic and Semantic Web languages. It provides in-depth insight into fuzzy Semantic Web languages for non-fuzzy set theory and fuzzy logic experts. It also helps researchers of non-Semantic Web languages get a better understanding of the theoretical fundamentals of Semantic Web languages. The first part of the book covers all the theoretical and logical aspects of classical (two-valued) Semantic Web languages. The second part explains how to generalize these languages to cope with fuzzy set theory and fuzzy logic.