DocumentCode :
2413379
Title :
Imprecise Semantic Web Ontology Model
Author :
Huang, Yinghui ; Li, Guanyu
Author_Institution :
Inf. Sci. & Technol. Coll., Dalian Maritime Univ., Dalian, China
fYear :
2010
fDate :
7-9 May 2010
Firstpage :
1426
Lastpage :
1429
Abstract :
The Semantic Web ontology is a partial ordering set of concept used to make information have semantic markedness. The enclosing type and the educing type are the ways of forming a concept in human brain. They are related to the fuzziness and the roughness respectively. The imprecise concept is actually the fuzzy rough concept, but there is no existence of the imprecise partial ordering relation. The Semantic Web ontology is a fuzzy rough concept partial ordering set, namely, a binary pair composed of a fuzzy rough concept set and a kind of partial ordering relation. It could be represented as two types of practical forms: the fuzzy rough concept list and the fuzzy rough concept lattice, the latter has good properties with compactness and exclusiveness, so could be as a base to code a compact and normative OWL document which helps the Semantic Web to come true.
Keywords :
fuzzy set theory; knowledge representation languages; ontologies (artificial intelligence); rough set theory; semantic Web; compact OWL document; fuzzy rough concept; normative OWL document; partial ordering relation; partial ordering set; semantic Web ontology model; semantic markedness; Approximation methods; Humans; Lattices; OWL; Ontologies; XML; Semantic Web ontology; concept lattice; fuzziness; imprecision; roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
Type :
conf
DOI :
10.1109/ICEE.2010.362
Filename :
5591531
Link To Document :
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