Soft Computing in Ontologies and Semantic Web: 204 (Studies in Fuzziness and Soft Computing, 204) - Softcover

Softcover

ISBN 10: 3642070108 ISBN 13: 9783642070105

Publisher: Springer, 2010

Synopsis

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 the Semantic Web. The author shows how components of the Semantic Web (like the RDF, Description Logics, ontologies) can be covered with a soft computing methodology.

About this title

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2010
• ISBN 10: 3642070108
• ISBN 13: 9783642070105
• Binding: Paperback
• Language: English
• Number of pages: 280
• Editor: Ma Zongmin