TIENE EN SU CESTA DE LA COMPRA
en total 0,00 €
en total 0,00 €
First attempt to incorporate object membership and typicality in computational ontologies
Application in recommender systems
Multiple illustrating examples
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.
Content Level » Research
Keywords » Computational Ontology - Knowledge Representation - Semantic Web - Symbolic Computation
Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Theoretical Computer Science
Table of contents Background Study.- Fuzzy Ontology: A First Formal Model.- Importance and Priority of Properties in Concepts.- Object Typicality in Fuzzy Ontologies.- Object Typicality in Context-Aware Ontologies.- Applications.- Concluding Remarks.