语义Web本体匹配算法研究

随着语义Web不断发展，本体数量不断增加。由于不同领域专家构建的本体存在不匹配的问题，需要对本体进行匹配、合并和比较。本体匹配作为其他工作的基础，具有十分重要的意义。本文提出了一种基于实例的本体相似度计算方法，该方法为每个概念结点增加虚拟实例，并综合考虑了本体的结构特点，使用Word．Net调整相似度。我们把该方法运用到PROMPT本体匹配算法中，通过实验得到了较好的准确率和查全率。

Research on Semantic Web Ontology Matching Algorithm

With the development of Semantic Web,the number of ontology is increasing greatly.In order to use those ontology effectively,we need to match,merge and compare with ontology.As the basis of other work,ontology matching has the important influence.This paper proposes an ontology similarity assessment method,this method constructs virtual instances for every concept node and takes the structure of ontology into consideration,then we adjust the similarity with WordNet.We apply this method to PROMPT algorithm for ontology matching and get a higher accuracy and recall through experiment.