Abstract:

ords similarity has a role which cannot be ignored in the semantic web adaptive learning system. We propose and implement words similarity algorithm based on Tongyici Cilin, in which we fully analyze and use the coding and structural characteristics of Tongyici Cilin. We consider both the words resemblance and the words relevance. After manual test, replacement test and comparison test in which we compared our algorithm with the current popular words similarity algorithm based on Hownet, we found that the algorithm achieved the good results.

Key words: word similarity, tongyici cilin, adaptive learning system