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Soft Computing in Ontologies and Semantic Web: Studies in Fuzziness and Soft Computing, cartea 204

Editat de Zongmin Ma
en Limba Engleză Hardback – 16 iun 2006
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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Specificații

ISBN-13: 9783540334729
ISBN-10: 3540334726
Pagini: 288
Ilustrații: XI, 269 p.
Dimensiuni: 156 x 234 x 21 mm
Greutate: 0.58 kg
Ediția:2006
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Probability in Ontologies and Semantic Web.- BayesOWL: Uncertainty Modeling in Semantic Web Ontologies.- Modeling Uncertainty in Semantic Web Taxonomies.- A Probabilistic, Logic-Based Framework for Automated Web Directory Alignment.- The SP Theory and the Representation and Processing of Knowledge.- Fuzzy Logic in Ontologies and Semantic Web.- Dynamic Services for Open Ambient Intelligence Systems.- Development of Ontologies by the Lowest Common Abstraction of Terms Using Fuzzy Hypernym Chains.- Beyond the Semantic Web: Fuzzy Logic-Based Web Intelligence.- An Ontology-Based Method for User Model Acquisition.- On Some Problems of Decision-Making Under Uncertainty in the Semantic Web.- Automatic Thematic Categorization of Multimedia Documents using Ontological Information and Fuzzy Algebra.

Textul de pe ultima copertă

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.

Caracteristici

Useful guide for researchers, practitioners, and graduate students in all aspects of Web intelligence Integrate soft computing technologies and ontologies and Semantic Web together