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Soft Computing in Ontologies and Semantic Web

  • Book
  • © 2006

Overview

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

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 204)

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Table of contents (10 chapters)

  1. Probability in Ontologies and Semantic Web

  2. Fuzzy Logic in Ontologies and Semantic Web

Keywords

About this book

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.

Editors and Affiliations

  • College of Information Science and Engineering, Northeastern University Shenyang, Liaoning, China

    Zongmin Ma

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