Constructing Fuzzy Ontology by Using Method of Concept Distance Clustering

With the wide application of ontology in the field of computer, ontology aroused people´s concern. In order to conduct nubilous object, Fuzzy ontology is introduced. How to construct the fuzzy ontology becomes a meaningful work. It is known that the inaccuracy of information is high, which leads to inefficiency in the manual construction of fuzzy ontology. To solve this problem, conceptual distance clustering method based fuzzy ontology construction is proposed to meet the user need to the maximum extent, which is combined with fuzzy set theory and fuzzy concept lattice. Firstly, fuzzy concept lattice is constructed by gradual mode method. Secondly, fuzzy parameters are used to process conceptual distance clustering, and fuzzy concept hierarchy is obtained. Finally, a fuzzy ontology is mapped and gotten. The experimental results show that both usability and effectiveness of the proposed method are better than the former methods.