DocumentCode :
693236
Title :
Fuzzy ontology respresentation with fuzzy owl
Author :
Fa-Gui Liu ; Yong-Xue Huang ; Yue-Dong Lin
Author_Institution :
Dept. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Volume :
04
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
1752
Lastpage :
1757
Abstract :
Ontology is a research for machine understandable semantic information, which is the foundation for semantic web service description. Efforts are being made to research fuzzy ontology for expressing inherent fuzzy/imprecise information. But the description language for fuzzy ontology is still under discussion and there is no widely agreed standard yet. In this context, a fuzzy description language - fuzzy owl for Fuzzy SROIQ(D) with self-defined fuzzy data type and fuzzy modifier is proposed. Fuzzy owl is equipped with independent terminologies and grammars, that it´s able to express fuzzy concepts, extended fuzzy data types, variables and fuzzy modifiers. A parser and an editor are developed to edit fuzzy ontology visibly and generate fuzzy owl files automatically, which eases the trouble of creating fuzzy ontology manually.
Keywords :
Web services; fuzzy set theory; grammars; knowledge representation languages; ontologies (artificial intelligence); editor; fuzzy OWL; fuzzy SROIQ(D); fuzzy data types; fuzzy description language; fuzzy modifiers; fuzzy ontology respresentation; grammars; machine understandable semantic information; parser; self-defined fuzzy data type; semantic Web service description; Abstracts; OWL; Ontologies; Fuzzy description logic; Fuzzy ontology; Fuzzy owl;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890881
Filename :
6890881
Link To Document :
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