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Author Ghorbel, H. ♦ Bahri, A. ♦ Bouaziz, R.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Ontologies ♦ Resource description framework ♦ Laboratories ♦ Semantic Web ♦ Uncertainty ♦ Fuzzy logic ♦ Fuzzy set theory ♦ Fuzzy systems ♦ Information systems ♦ Birds ♦ Fuzzy OntoMethodology ♦ component ♦ Fuzzy Ontologies ♦ Fuzzy Ontologies Model ♦ Fuzzy Ontologies Building Method
Abstract Building ontologies is very important for diverse domains and especially for semantic Web. We find in the literature many methods and tools for this building. However, the fuzzy aspect is not enough studied in these methods and tools, whereas information systems can include uncertainties and imperfections. The goal of the definition of fuzzy ontologies is to integrate these characteristics. So, we must be able to modulate uncertainties, on the one hand, and to product representations accessible and understandable by machines, on the other hand. If we find actually many building methods and editors for classic ontologies (i.e., crisp or exact), we do not find such methods for fuzzy ontologies. Then, this paper defines our work for fuzzy ontologies building. It presents our fuzzy ontologies building method “Fuzzy OntoMethodology”.
Description Author affiliation: Miracl Laboratory, FSEGS, Route de l'Aéroport, B.P. 1088, 3018 Sfax - Tunisie (Ghorbel, H.; Bahri, A.; Bouaziz, R.)
ISBN 9781424478590
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-07-12
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424478583
Size (in Bytes) 738.01 kB
Page Count 8
Starting Page 1
Ending Page 8

Source: IEEE Xplore Digital Library