Soft Computing in Ontologies and Semantic Web

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 Seman...

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Bibliographic Details
Main Author: Ma, Zongmin
Format: Livre numérique
Language:Anglais
Published: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edition:1st ed. 2006.
Series:Studies in Fuzziness and Soft Computing 204
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Note: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Soft computing in ontologies and semantic web, Zongmin Ma (ed.), New York, Springer-Verlag, 2006, 1 vol. (274 p.), Studies in fuzziness and soft computing, 3-540-33472-6
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Summary: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
Item Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540334736
ISSN:1860-0808
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017