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