领域本体的语义相似度算法研究

Research on the Semantic Similarity Algorithm of Domain Ontology

语义相似度计算在信息检索、文本聚类、语义消歧等方面有着广泛的应用。为提高信息检索的查全率与查准率,提出一种本体概念综合语义相似度计算方法。该方法在本体概念语义距离的计算中引入了多种权重因子,并且综合考虑了本体概念语义重合度、本体概念属性对相似度的影响。实验分析发现,该方法比传统计算方法更加准确、有效,具有一定的理论及实用价值。

The semantic similarity computation is widely used in information retrieval, text clustering, word sense disambiguation, etc, to enhance information retrieval recall and precision, this paper proposes a semantic similarity computation method for ontology concept, this method adds multiple weight factors in the calculation of semantic distance. In addition, it also considers the influence of semantic contact ratio and attributes of the concept. Experimental results show that the method is more accurate and efficient than the traditional calculation method, this study has some theoretical and practical value. Key Words： Ontology; Information Retrieval; Semantic Similarity; Weight Factor