Research on Similarity of Semantic Web
With the rapid increasing of information on Internet and the emergence of the Semantic Web technology, information retrieval based on the Semantic Web has become a researching focus. In the semantic retrieval, the calculating method of semantic similarity is very important to information recall and precision ratio, this paper presents a new calculating method of semantic similarity by improving the flaw of traditional calculating method. The method adopts a directed graph to establish the Semantic Web and calculating the similarity of semantic nodes and semantic relations, then combine them to form the unified semantic similarity values. The analysis of the semantic retrieval and the statistics of the results indicate that this method can get higher recall and precision ratio than traditional method.
semantic web semantic similarity information retrieval
Hongsheng Wang Xiaoguang Han
Shenyang University of Technology School of Information Science and Engineering Shenyang, China
国际会议
太原
英文
166-169
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）