Path: Top -> Journal -> Jurnal Internasional -> Fuzzy Information and Engineering -> 2015 -> Volume 7, Issue 1, March

Knowledge Representation Using Type-2 Fuzzy Rough Ontologies in Ontology Web Language

Journal from gdlhub / 2017-08-21 10:55:26
Oleh : D. Nilavu, R. Sivakumar, Fuzzy Information and Engineering
Dibuat : 2015-03-21, dengan 1 file

Keyword : Type-2 fuzzy rough description logicsKnowledge representationOntology languagesOntology reasonersUncertain informationOntology plug-ins
Url : http://www.sciencedirect.com/science/article/pii/S1616865815000266
Sumber pengambilan dokumen : web

Nowadays semantic web languages play a vital role in representing ontologies. In order to deal with uncertainty in the semantic web languages, we need a concrete procedure to represent such information. We may tackle this problem by extending the current semantic web languages with uncertainty. In this article, we extend the current standard language OWL2 (version 2 of the Web Ontology Language), to deal with uncertainty features and also propose an appropriate methodology to represent type-2 fuzzy rough ontologies by the aid of OWL2 annotation properties. We also provide a plug-in, used to edit type-2 fuzzy rough ontologies using OWL2 annotation properties and parsers that translate the type-2 fuzzy rough ontologies into the languages supported by current description logic (DL) reasoners. Moreover, we conduct a large user group study to prove the effectiveness of the proposed work.

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OrganisasiFuzzy Information and Engineering
Nama KontakHerti Yani, S.Kom
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