Soft Computing in Ontologies and Semantic Web
Zongmin Ma
Venduto da buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Venditore AbeBooks dal 23 gennaio 2017
Nuovi - Brossura
Condizione: Nuovo
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Aggiungere al carrelloVenduto da buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Venditore AbeBooks dal 23 gennaio 2017
Condizione: Nuovo
Quantità: 1 disponibili
Aggiungere al carrelloThis 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.
Codice articolo 9783642070105
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.
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