一种基于本体的语义相似度算法研究

Study on semantic similarity algorithm based on ontology

在研究目前比较经典的基于语义距离的相似度算法的基础上,通过分析语义概念的其他关键因子,增加了节点密度以及概念属性对语义相似度的影响,提出了一个更为规范的相似度算法。通过实验分析证明,改进后算法所得相似度值更加合理,在一定的调节参数下,与人类主观判断的兼容度比原始算法提高了约15%。

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.