A Fuzzy Integrated Ontology Model to Manage Uncertainty in Semantic Web: The FIOM
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 3
Abstract
Semantic web, also known as next generation web, aims to provide context based information and services to the user. Although, ontologies play key role in implementation and exploitation of semantic web, however these fail to handle imprecision and uncertainty involved in user requests. Fuzzy logic provides a means to overcome the mentioned hortcoming and hence handles imprecise and vague knowledge quite decorously. This work proposes Fuzzy Integrated Ontology Model (FIOM) which aims to integrate fuzzy logic in design structure of ontology, so that it can handle vague and imprecise information.
Authors and Affiliations
Aarti Singh , Dimple Juneja , A. K. Sharma
Keywords
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