Research on Literature Retrieval Based on Concepts Similarity

摘要：

Ontology-based concepts similarity calculation is the focus of Semantic Web. A comprehensive ontology-based concepts similarity calculation model is proposed in this paper. It considers four factors: property similarity, semantic distance, hierarchy depth and regulatory factors. This paper created a science and technology Paper Ontology, and computed papers similarity based on this method, and expanded OWL documents. Experimental results show this method of computing concepts similarity can improve the quality of the search, and would effectively guarantee the relevance of search results to improve the retrieval precision and recall.

作者: Yang Xiquan Guo Dina Yan Liping Chen Xin

作者单位: School of Computer Science Northeast Normal University, Changchun,Jilin,China,130117 The Library of Changchun University of Science and Technology, Changchun Jilin,China,130022

会议类型: 国际会议

会议名称: Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)

会议地点: 珠海

会议语种:英文

页码: 334-337

在线出版日期: 2009-10-12（万方平台首次上网日期，不代表论文的发表时间）