Soft Computing in Ontologies and Semantic Web

1. Auflage. Softcover version of original hardcover Auflage 2006
ISBN: 978-3-642-07010-5
Verlag: Springer

Buch, Englisch, Band 204, 269 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g

Reihe: Studies in Fuzziness and Soft Computing

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.

Zielgruppe

Research

Autoren/Hrsg.

Ma, Zongmin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Social Media, Semantic Web, Web 2.0
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme

Inhaltsverzeichnis

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.