Knowledge Interconnection Based on Binary Semantic Relation Analysis

Knowledge interconnection, which is a method from the point of knowledge discovery, plays an important role in many knowledge systems such as natural language query system and intelligence tutor system. The paper firstly discussed some kinds of interconnectivities of two closed-semantic statements with the form <C,R,C´> by analyzing the properties of binary semantic relations and the implications among semantic relations. These implications can be acquired by using the attribute exploration algorithm in formal concept analysis (FCA). And then the paper proposed an interactive interconnection algorithm, which is used to judge whether there exist meaningful interconnection factor between two statements.