Abstract: Ontology has proved to be very useful in sharing concepts across applications in an unambiguous way. Nowadays, in ontology-based applications information is often vague and imprecise. This paper introduces a system that exploits the semantics of ontology, to improve the accuracy of machine-learning methods. In computer-aided reasoning, the predominant paradigm to manage vague knowledge is fuzzy set theory. This paper presents the proposed work. In proposed work, automate the Ontology Creation Process used along with the Databases. Our motive is to develop the efficient technique for ontology based on Fuzzy Logics along with the ontology mapping.
Keywords: Ontology, Methodology, Knowledge Analysis, Domain Analysis, Fuzzy Logic, Machine Learning Algorithm.