Research on Automatic Fuzzy Ontology Generation from Fuzzy Context
In this paper, we have integrated fuzzy logic in the formal context, developing fuzzy formal concept analysis to support the automatic generation of primitive fuzzy ontology that can deal with uncertain information. The proposed automatic fuzzy ontology generation approach consists of the following steps: first, fuzzy formal concepts are created through fuzzy formal context; then, the decision rules from the generated formal concept are obtained using the implicative relations between two fuzzy concept lattices; and next, Fuzzy clustering is adopted to promote the fuzzy concept hierarchy of fuzzy concept lattice; finally, a primitive fuzzy ontology is constructed according to the concept hierarchy structure. A complete fuzzy ontology can be generated through the expanding of primitive ontology. Since the fuzzy concept lattice should be from specific fuzzy formal context, the proposed automatic generation approach is basis on the concept hierarchy structure which supporting concept learning, thus, for each different application, it is suitable to pursue the own fuzzy domain ontology model automatically.