Overview
- First attempt to incorporate object membership and typicality in computational ontologies
- Application in recommender systems
- Multiple illustrating examples
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
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.
Authors and Affiliations
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: Yi Cai, Ching-man Au Yeung, Ho-fung Leung
DOI: https://doi.org/10.1007/978-3-642-25456-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Higher Education Press, Beijing and Springer Berlin Heidelberg 2012
eBook ISBN: 978-3-642-25456-7Published: 07 April 2012
Edition Number: 1
Number of Pages: XV, 202
Additional Information: Jointly published with Higher Education Press.
Topics: Artificial Intelligence, Symbolic and Algebraic Manipulation, Information Systems Applications (incl. Internet)