一种综合加权的本体概念语义相似度计算方法  

Comprehensive weighting method for calculation of ontologybased semantic similarity

作　　者：甘明鑫[1] 窦雪[1] 王道平[1] 江瑞[2] 

机构地区：[1]北京科技大学经济管理学院,北京100083 [2]清华大学自动化系,北京100084

出　　处：《计算机工程与应用》2012年第17期148-153,160,共7页Computer Engineering and Applications

基　　金：国家自然科学基金(No.70872010;No.60805010;No.71101010;No.71172169;No.61175002);中央高校基本科研业务费专项基金资助(No.FRF-BR-11-019A)

摘　　要：基于本体的概念语义相似度近年来在信息科学的多个领域获得了广泛的应用,其计算方法也为诸多学者所关注。分析现有基于本体的概念语义相似度计算方法的工作原理和优缺点,提出一种对概念共享路径的重合度和概念最低共同祖先节点的深度进行综合加权的概念语义相似度算法。该算法灵活简便、可扩展性强,能够应用于不同类型的本体。使用基因本体和植物本体的部分数据进行了实验并与两种现有算法进行了比较,实验结果证明了提出的计算方法的正确性和有效性。Over the past few years, ontology-based semantic similarity has been widely used in many fields of infor- mation science. As such, methods for the calculation of semantic similarities from ontology have been receiving more and more attention. This paper analyzes principles, advantages, and disadvantages of existing methods for cal- culating semantic similarities, and it proposes a new method that assesses semantic similarity based on two proper- ties of the Directed Acyclic Graph（DAG） structure of an ontology： the degree of overlap in paths from the root to the nodes corresponding to the given concepts and the depth of the Lowest Common Ancestor （LCA） node of these nodes. The proposed method is flexible and can be applied to ontologies of a wide variety of domains. It applies the proposed method to Gene Ontology （GO） and Plant Ontology （PO）, and it compares the results with those of two leading methods. Results show the correctness and effectiveness of the proposed method.

关 键 词：语义相似度 本体 有向无环图 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]