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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
Other Authors: Ma, Zongmin (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2006, 2006
Edition:1st ed. 2006
Series:Studies in Fuzziness and Soft Computing
Subjects:
Engineering Mathematics
Artificial Intelligence
Application Software
Engineering / Data Processing
Applications Of Mathematics
Computer And Information Systems Applications
Mathematics
Mathematical And Computational Engineering Applications
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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