Abstract
The research about concept similarity is very important in knowledge representation and information retrieval. After studying the current classic distance-based semantic similarity algorithm,a more standardized similarity algorithm was proposed by analyzing the other key factors of semantic concept and increasing the impact of the node density and attributes of the concept for the semantic similarity. Through the experimental analysis,the similarity value of the improved algorithm is more reasonable; and compared with human subjective judgements under certain condition of the mediation parameter,the compatibility of the improved algorithm increases about 15% than that of the original algorithm.
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