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Fuzzy Knowledge Management for the Semantic Web

  • Book
  • © 2014

Overview

  • Written by leading experts in this field
  • State-of-the-Art book
  • Great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the Semantic Web
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 306)

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Table of contents (9 chapters)

Keywords

About this book

This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the Semantic Web. The topics of this book include fuzzy description logics and fuzzy ontologies, queries of fuzzy description logics and fuzzy ontology knowledge bases, extraction of fuzzy description logics and ontologies from fuzzy data models, storage of fuzzy ontology knowledge bases in fuzzy databases, fuzzy Semantic Web ontology mapping, and fuzzy rules and their interchange in the Semantic Web. The book aims to provide a single record of current research in the fuzzy knowledge representation and reasoning for 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 serve the knowledge and data engineering professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.

Authors and Affiliations

  • Northeastern University, Shenyang, People's Republic of China

    Zongmin Ma, Fu Zhang, Li Yan, Jingwei Cheng

Bibliographic Information

  • Book Title: Fuzzy Knowledge Management for the Semantic Web

  • Authors: Zongmin Ma, Fu Zhang, Li Yan, Jingwei Cheng

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-642-39283-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-39282-5Published: 08 October 2013

  • Softcover ISBN: 978-3-662-50767-4Published: 27 August 2016

  • eBook ISBN: 978-3-642-39283-2Published: 28 September 2013

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XI, 275

  • Number of Illustrations: 67 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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