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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Format: | Article |
Language: | English |
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Tsinghua University Press
2015-03-01
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Series: | Fuzzy Information and Engineering |
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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. |
first_indexed | 2024-03-12T07:55:05Z |
format | Article |
id | doaj.art-95c8181021a64485976a766ccb0c0faf |
institution | Directory Open Access Journal |
issn | 1616-8658 |
language | English |
last_indexed | 2024-03-12T07:55:05Z |
publishDate | 2015-03-01 |
publisher | Tsinghua University Press |
record_format | Article |
series | Fuzzy Information and Engineering |
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 |