基于领域本体的语义相似度计算研究

本文介绍了有关本体的知识以及在领域本体参照下三种语义相似度的计算模型,并针对这三种计算模型的优缺点和领域本体所特有的性质提出了一种改进的基于领域本体的语义相似度计算模型.该计算模型的基本思想是：以基于距离的计算模型为基础,把概念的信息内容和概念的属性作为两个决策因子.实验结果表明,该方法能够比较准确地反映概
念之间的语义关系,为概念之间的语义关系提供一种有效的量化.

Research on the Domain-Ontology-Based Semantic Similarity Computing

The paper presents some related knowledge on ontology and three kinds of computing models based on domain ontology.Aimed at the advantages and disadvantages of these models,as well as the characteristics of domain ontology,we put forward an improved domain-ontology-based semantic similarity computing model,which makes the information content and attribute of concept as two decision factors based on the distance-based computing model.It is proved that this model can reflect the semantic relationships among the concepts more precisely,and provide an effective quantification for them.