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

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 t...

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Main Authors: D. Nilavu, R. Sivakumar
Format: Article
Language:English
Published: Tsinghua University Press 2015-03-01
Series:Fuzzy Information and Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1616865815000266
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author D. Nilavu
R. Sivakumar
author_facet D. Nilavu
R. Sivakumar
author_sort D. Nilavu
collection DOAJ
description 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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spelling doaj.art-95c8181021a64485976a766ccb0c0faf2023-09-02T20:20:59ZengTsinghua University PressFuzzy Information and Engineering1616-86582015-03-0171739910.1016/j.fiae.2015.03.006Knowledge Representation Using Type-2 Fuzzy Rough Ontologies in Ontology Web LanguageD. NilavuR. SivakumarNowadays 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.http://www.sciencedirect.com/science/article/pii/S1616865815000266Type-2 fuzzy rough description logicsKnowledge representationOntology languagesOntology reasonersUncertain informationOntology plug-ins
spellingShingle D. Nilavu
R. Sivakumar
Knowledge Representation Using Type-2 Fuzzy Rough Ontologies in Ontology Web Language
Fuzzy Information and Engineering
Type-2 fuzzy rough description logics
Knowledge representation
Ontology languages
Ontology reasoners
Uncertain information
Ontology plug-ins
title Knowledge Representation Using Type-2 Fuzzy Rough Ontologies in Ontology Web Language
title_full Knowledge Representation Using Type-2 Fuzzy Rough Ontologies in Ontology Web Language
title_fullStr Knowledge Representation Using Type-2 Fuzzy Rough Ontologies in Ontology Web Language
title_full_unstemmed Knowledge Representation Using Type-2 Fuzzy Rough Ontologies in Ontology Web Language
title_short Knowledge Representation Using Type-2 Fuzzy Rough Ontologies in Ontology Web Language
title_sort knowledge representation using type 2 fuzzy rough ontologies in ontology web language
topic Type-2 fuzzy rough description logics
Knowledge representation
Ontology languages
Ontology reasoners
Uncertain information
Ontology plug-ins
url http://www.sciencedirect.com/science/article/pii/S1616865815000266
work_keys_str_mv AT dnilavu knowledgerepresentationusingtype2fuzzyroughontologiesinontologyweblanguage
AT rsivakumar knowledgerepresentationusingtype2fuzzyroughontologiesinontologyweblanguage