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Engineering - Computational Intelligence and Complexity | Fuzzy Knowledge Management for the Semantic Web

Fuzzy Knowledge Management for the Semantic Web

Ma, Z., Zhang, F., Yan, L., Cheng, J.

2014, XI, 275 p. 67 illus.

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  • 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
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.

Content Level » Research

Keywords » Fuzzy Knowledge Management - Fuzzy Systems - Semantic Web

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity

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