COMPARABILITY BETWEEN FUZZY SETS AND CRISP SETS: A SEMANTIC WEB APPROACH
Fuzzy set theories facilitate the extensions of today’s Web structure, especially in the context of Web data. Currently, the increase or sharing of data from different sources: individuals, industries, academia, etc are not knowing/ considering the origin of Semantic Web transition. As the extensi...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/8118/1/Comparability_between_Fuzzy_Sets_and_Crisp_Sets-A_Semantic_Web_Approach.pdf http://eprints.utp.edu.my/8118/ |
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| Institution: | Universiti Teknologi Petronas |
| Summary: | Fuzzy set theories facilitate the extensions of today’s Web structure, especially in the context of Web data.
Currently, the increase or sharing of data from different sources: individuals, industries, academia, etc are not
knowing/ considering the origin of Semantic Web transition. As the extension of Web grows, the thorny problem of
data heterogeneity is also increasing. However, the review/comparability of the fuzzy sets, crisp sets and Semantic
Web technologies were given based on their extensions. The authors provided the approaches that will help in
knowing the uncertainty within the Semantic Web environment |
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