Fuzzy Computational Ontologies in Contexts

Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications

Authors: Cai, Yi, Au Yeung, Ching-man, Leung, Ho-fung

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  • First attempt to incorporate object membership and typicality in computational ontologies
  • Application in recommender systems
  • Multiple illustrating examples
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eBook 82,38 €
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About this book

Knowledge Representation plays an essential role in Semantic Web, in particular in automated information processing and communications among software agents.  This book, entitled "Fuzzy Computational Ontologies in Contexts: Formal Models of Knowledge Representation with Membership Degree and Typicality, and Their Applications", discusses knowledge representation in Semantic Web.  It introduces the relevant background knowledge, models of fuzzy ontologies, importance and priority of properties in concepts, and object typicality in fuzzy ontologies and context-aware ontologies.

The book is intended for graduate students, engineers, and researchers in the field of artificial intelligence and computer science.

Yi Cai is an Assistant Professor in School of Software Engineering, South China University of Technology, Guangzhou, China. Ching-man Au Yeung is a Senior Engineer in Hong Kong Applied Science and Technology Research Institute, Hong Kong, China. Ho-fung Leung is a Professor and the Chairman of Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China.

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook 82,38 €
price for Spain (gross)
  • ISBN 978-3-642-25456-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
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Bibliographic Information

Bibliographic Information
Book Title
Fuzzy Computational Ontologies in Contexts
Book Subtitle
Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications
Authors
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Higher Education Press, Beijing and Springer Berlin Heidelberg
eBook ISBN
978-3-642-25456-7
DOI
10.1007/978-3-642-25456-7
Edition Number
1
Number of Pages
XV, 202
Additional Information
Jointly published with Higher Education Press.
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