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In the real world, human knowledge and natural language have a big deal of imprecision and uncertainty. Imprecision and uncertainty play in the semantic Web context, as well as to many applications that use description logics (DLs) to capture, represent and perform reasoning with domain knowledge. In this paper, a fuzzy extension of description logic language SI is presented, which combines vague...
The Semantic Web is expected to process concept knowledge and data information in an intelligent and automatic way. Recent research has shown that OWL has a serious limitation on data types; i.e., it does not support customized data types and customized data type predicates. Furthermore, it canpsilat process imprecise and uncertain information which widely exists in the Semantic Web and Ontology....
In this paper, we apply a class of fuzzy modifiers based on fuzzy relations in description logics (DLs) to represent complex imprecise and incomplete knowledge. We investigate how to introduce the fuzzy modifiers into a fuzzy description logic ALC. The fuzzy description logic ALC with the fuzzy modifiers, called FALCM in the paper, has a more expressive capacity to represent imprecise and incomplete...
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