Fuzzy Ontology Model for Knowledge Management

DOI

10.2991/iske.2007.60How to use a DOI?

Keywords

Ontology, Fuzzy ontology, Fuzzy system, Knowledge management

Abstract

Ontology is the basis of sharing and reusing knowledge on the semantic web. The fuzzy ontology is an extension of the domain ontology for solving the uncertainty problems. Current fuzzy ontology models do not focus on essential semantic relationships between fuzzy concepts, which lead difficulty in ontology integrating. To represent formally the fuzzy knowledge, this paper proposes a series of fuzzy ontology models that consists of fuzzy domain ontology and fuzzy linguistic variable ontologies, considering semantic relationships of concepts, including set relation, order relation and equivalence relation. Application of the fuzzy ontology to transportation knowledge modeling shows that this research facilitates the knowledge share and reuse for fuzzy systems on the semantic web.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jun Zhai
PY  - 2007/10
DA  - 2007/10
TI  - Fuzzy Ontology Model for Knowledge Management
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 359
EP  - 363
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.60
DO  - 10.2991/iske.2007.60
ID  - Zhai2007/10
ER  -