Construction Method of Knowledge Base Based on Fuzzy and Modular Ontology

Ontology construction is a time consuming and labor intensive task and it is difficult to reuse existed ontology, so the conventional knowledge base based ontology building methods are in a low efficiency. From the view of facilitating knowledge sharing and reusing, modularization is introduced into ontology. But most current methods of ontology modularization are restricted to man-made factors to a large extent. Thus, a novel approach for semi-automatic decomposition of ontology into modules, which takes fuzzily computing concept semantic similarity based ontology as the base, is proposed in this paper. Meanwhile, knowledge base based fuzzy and modular ontology is established. Finally, through a experiment on Grab Ontology the method´s validity is proved.