Conceptual graph matching algorithm based on E-A-V structure
Xiong Li-ya · Jisuanji yingyong yanjiu · 2014
In Chinese semantic computation,the conceptual graph matching had the inaccurate result,so this paper proposed the algorithm of conceptual graph matching based on entity-attribute-value structure. Based on the conceptual graph theory,the intensional logic model of Chinese concept connotation and natural language processing techonlogy,using recursive conceptual graph as knowledge representation method and combining with the computation method of E-A-V structure similarity,the algorithm computed the similarity of conceptual graphs. The experimental results show that the algorithm is more effective on conceptual graph matching. And the algorithm improves the inaccurate matching problem of conceptual graphs.