A Large Knowledge Base Partitioning and Reasoning Study Based on Graph Theory

In this paper, we present a method for solving the partitioning problem of complex knowledge bases. This proposed method utilizes the feature of fuzzy cognitive map (FCM) to construct partitioning rules, the partition algorithm based on strongly connected of directed graph helps to partition a fuzzy cognitive map into a series of sub-FCM. Further, we discuss the inference among sub-FCM. Finally, an illustrative example is provided, and its results suggest that the method is capable of partitioning and reasoning large knowledge bases.