Abstract
In this paper, we propose a fuzzy ontology model by using fuzzy set and description fuzzy logic in order to support fuzzy inference model and fuzzy ontology integration. As in previous studies, elements of a fuzzy ontology are fuzzed by using a class member function based on the fuzzy set theory. The significant contribution of this work is to supplement the fuzzification of concepts with respect to the corresponding ontology. Besides, we clarify the set Z by using fuzzy description logic representing for constrains among ontology elements which have never been mentioned before. In this paper, we also execute the proposed fuzzy ontology implemented in OWL2 language. We employ Protégé to present the fuzzy ontology design in weather domain for demonstration.
The original version of this chapter was revised: Reference has been removed. The erratum to this chapter is available at https://doi.org/10.1007/978-3-319-76081-0_46
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Quach, X.H., Hoang, T.L.G. (2018). Fuzzy Ontology Modeling by Utilizing Fuzzy Set and Fuzzy Description Logic. In: Sieminski, A., Kozierkiewicz, A., Nunez, M., Ha, Q. (eds) Modern Approaches for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-76081-0_2
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