Imprecise Semantic Web Ontology Model
E-Business and E-Government（2010）
摘要
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.
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关键词
rough set theory,fuzzy set theory,semantic markedness,fuzzy rough concept lattice,partial ordering relation,concept lattice,partial ordering set,semantic web ontology,educing type,good property,fuzziness,imprecise semantic web ontology,roughness,imprecise concept,binary pair,normative owl document,knowledge representation languages,semantic web,ontologies (artificial intelligence),compact owl document,fuzzy rough concept list,semantic web ontology model,imprecision,fuzzy rough concept,fuzzy rough concept set,partial order,ontologies,lattices,xml,owl,partially ordered set
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