Soft Computing in Ontologies and Semantic Web, Softcover reprint of hardcover 1st ed. 2006 Studies in Fuzziness and Soft Computing Series, Vol. 204
Coordonnateur : Ma Zongmin
This book covers in a great depth the fast growing topic of tools, techniques and applications of soft computing (e.g., fuzzy logic, genetic algorithms, neural networks, rough sets, Bayesian networks, and other probabilistic techniques) in the ontologies and Semantic Web. How components of the Semantic Web (like the RDF, Description Logics, ontologies) can be covered with a soft computing focus is shown. The book aims to provide a single account of current studies in soft computing approaches to the ontologies and the Semantic Web. The objective of the book is to provide the state of the art information to researchers, practitioners, and graduate students of the Web intelligence, and at the same time serving the information technology professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.
Date de parution : 11-2010
Ouvrage de 269 p.
15.5x23.5 cm
Date de parution : 06-2006
Ouvrage de 269 p.
15.6x23.4 cm
Mots-clés :
Alignment; Bayesian network; Web Intelligence; algorithms; fuzzy; fuzzy logic; genetic algorithms; intelligence; logic; model; modeling; multimedia; ontology; semantic web; uncertainty