Soft computing in ontologies and semantic web
Author(s)
Bibliographic Information
Soft computing in ontologies and semantic web
（Studies in fuzziness and soft computing, vol. 204）
Springer, 2006
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Description and Table of Contents
Description
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.
Table of Contents
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.
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