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Soft Computing in Ontologies and Semantic Web

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Soft Computing in Ontologies and Semantic Web 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 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.

About This Edition

ISBN: 9783540334729
Publication date: 16th June 2006
Author: Zongmin Ma
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Hardback
Pagination: 274 pages
Series: Studies in Fuzziness and Soft Computing
Genres: Maths for engineers
Applied mathematics
Artificial intelligence
Applied computing