Abstract: This paper proposes a different ontology concept semantic similarity algorithm, which uses entities similarity to get the initial concept semantic similarity, and integrates two coefficients which influence concept semantic similarity to get the final concept semantic similarity. Comparing with probability statistic, experiments prove that this method is valid. The research can be applied in the field of knowledge searching.

Key words: Semantic Web, Ontology, Semantic similarity, Subjective judgment

摘要： 提出了一种计算不同本体中概念间语义相似度的方法，该方法通过比较实例间的相似度获得初始概念间语义相似度，结合影响概念间语义相似度的两个系数，计算出最终的概念间语义相似度。与概率统计方法进行比较，验证了该方法的有效性。该研究工作可以应用于面向Web的知识检索领域。

关键词: 语义网, 本体, 语义相似度, 主观判断

CLC Number: 

• TP391