DocumentCode :
477672
Title :
A Unified Formalism for Fuzzy Data Types Representation
Author :
Wang, Hailong ; Ma, Z.M. ; Yan, Li ; Cheng, Jingwei
Volume :
1
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
167
Lastpage :
171
Abstract :
This paper mainly discusses the fuzzy extension to the data type representation mechanism of the existing XML schema and OWL. In accordance with the needs of practical application, we prompt a kind of fuzzy extension form to XML schema data typing and point out the limitations of OWL data typing. Furthermore, we mainly investigate the description logic playing as the underlining theory counterpart of the corresponding Web ontology language, and make the following contributions: (i) define the fuzzy data type group and the general formalism to represent fuzzy data type information; (ii) define the fuzzy data type query questions based on the fuzzy data type group and discuss the decidability of these query questions.
Keywords :
XML; data handling; fuzzy set theory; knowledge representation languages; ontologies (artificial intelligence); OWL; Web ontology language; XML schema; fuzzy data type representation; Best practices; Educational institutions; Fuzzy logic; Fuzzy sets; Fuzzy systems; Information science; OWL; Ontologies; Semantic Web; XML; customized fuzzy data type; fuzzy data type representation; fuzzy description logic; unified formalism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Shandong
Print_ISBN :
978-0-7695-3305-6
Type :
conf
DOI :
10.1109/FSKD.2008.487
Filename :
4665961
Link To Document :
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