Abstract: Concept similarity computation is a hot issue in information retrieval. With the wide applications of ontology in the fields of information retrieval and artificial intelligence, it brings new methods for concept similarity computation. Using ontology, a new method for computing concept similarity is proposed. This method combines the semantic distance and statistical properties of the ontology. The assistant influences of the depth and semantic superposition and intensity between concepts are taken into account. Experimental result shows this method is feasible for computing the concept similarity, it can be applied in the field of Web information retrieval.

Key words: ontology, concept similarity, semantic distance, statistical property

摘要： 概念相似度的计算是信息检索领域的研究热点。本体在信息检索和人工智能领域的广泛应用，为概念相似度计算带来新的方法。该文提出一种利用本体来计算概念间相似度的方法，综合考虑语义距离和本体库统计特征。加入概念的深度、语义重合度和概念间强度的辅助影响。实验结果表明，该方法对概念相似度的计算有效，可应用于面向Web的信息检索。

关键词: 本体, 概念相似度, 语义距离, 统计特征

CLC Number: 

• TP301