Abstract:

As the basis of the semantic heterogeneity, the calculation of semantic similarity between concepts has become a hot topic. A calculation method based on the comprehensive concept of the semantic similarity of WordNet is presented. The method integrates traditional semantic distance-based algorithm, content-based algorithm, introduces the depth, density factor and semantic coincidence degree to conduct a comprehensive analysis. In order to determine the right weights in the synthesis algorithm, a principal component analysis is proposed to improve the weight allocation. Experiments show that the similarity of the proposed method has good correlation with similarity to the artificial one, thus the accuracy of the concept of semantic similarity calculation is improved effectively.

Key words: conceptual semantic similarity, WordNet, principal component analysis