The Ontology Model Based on Fuzzy Description Logic

Ontology is a conceptualization of a domain into a human understandable, machine-readable format consisting of entities, attributes, relationships, and axioms. OWL is the standard Web ontology language proposed by W3C recently that is on the basis of the description logic. But there are so much uncertain and incomplete knowledge in real world. So it is necessary to import the fuzzy ability to extend the OWL. The paper proposed the ontology model based on fuzzy description logics (FDLs).It extended the OWL by importing the conditional probability on the basis of FDLs. And then the model extracts fuzzy formal concept and proposes a method to compute the similarity of the concepts. In addition it comes up with a method of fuzzy conceptual clustering and then generates the fuzzy ontology. Finally the paper gives the analysis of the model.