Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Towards a general fuzzy ontology and its construction

Authors
Huamao Gu1, Hexin Lv, Ji Gao, Jinqin Shi
1College of Computer Science, Zhejiang University
Corresponding Author
Huamao Gu
Available Online October 2007.
DOI
10.2991/iske.2007.167How to use a DOI?
Keywords
Fuzzy ontology, Fuzzy description logic
Abstract

Most of the current fuzzy ontologies are too domain-specific and don’t support reasoning on fuzzy descriptions. By investigating the uncertainty information in the real world, we discover three widely existing general fuzzy relations. Based on such investigation and motivated by the desire to support reasoning and guide fuzzy ontology construction, we propose a reasoning-enabled general fuzzy ontology including these general fuzzy relations. To support such ontology in theory, we introduce a fuzzy description logic ef-SHIN, and define its syntax and semantics. Besides, a reference process for guiding the construction of fuzzy concept base relations in fuzzy ontology is also presented.

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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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
10.2991/iske.2007.167How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Huamao Gu
AU  - Hexin Lv
AU  - Ji Gao
AU  - Jinqin Shi
PY  - 2007/10
DA  - 2007/10
TI  - Towards a general fuzzy ontology and its construction
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 984
EP  - 989
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.167
DO  - 10.2991/iske.2007.167
ID  - Gu2007/10
ER  -