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.
Soft Computing in Ontologies and Semantic Web by Zongmin Ma, (Studies in Fuzziness and Soft Computing) Springer ISBN-10: 3540334726 Year:2006 488 Pages Pdf 3 MB
