Soft Computing in Ontologies and Semantic Web

Zongmin Ma

ISBN 10: 3642070108 / ISBN 13: 9783642070105

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010, 2010

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch.

Seller Inventory # 9783642070105

Bibliographic Details

• Title: Soft Computing in Ontologies and Semantic Web
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 3642070108
• ISBN 13: 9783642070105
• Binding: Taschenbuch
• Condition: Neu

About this title

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.

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.