Development of Fuzzy Rough Features in Ontology Knowledge Representation
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چکیده
Knowledge about a system contains ambiguity and vagueness. Fuzzy ontologies using rough concepts are able to deal with imprecise and vague knowledge. Several important amount of work has been carried out in the field of fuzzy ontologies during the last years and they have been successfully used in several applications, but appropriate methodology to represent fuzzy rough concepts using annotation properties have not yet been considered in fuzzy ontologies. In this article, we extend the current standard language OWL2, to deal with uncertainty features and also propose an appropriate methodology to represent fuzzy rough ontologies using OWL2 annotation properties. We also provide an plug-in, used to edit fuzzy rough ontologies using OWL2 annotation properties and some parsers that translate the fuzzy rough ontologies into the languages supported by reasoners. Mainly, this paper attempts to represent the fuzzy rough ontologies using OWL2. We also conduct a large user study to prove the effectiveness of the Fuzzy rough ontology representation using OWL2 annotation properties with the help of the OntoSri plug-in named by FuzzyRough.
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تاریخ انتشار 2015