Using Ontology Evidences to Extend Belief Network IR Model

摘要：

The retrieval performance of an information system usually increases when it uses the relationships among the terms. Belief network IR model provides a framework to combine deferent types of query evidences. In this paper we present an extended belief network model that combines user query terms and its ontology related terms. Then we evaluate the extended model using a reference collection of 1359 documents. The results show that the new model has improved retrieval performance.

关键词： bayesian network ontology information retrieval

作者: Jian Min Xu Jin Kun Tian Yan Chun Zhang Jin Hua Wang

作者单位: School of Mathematic and Computer,Hebei University Baoding, China Center for Applied Informatics Reserch, Victoria University Vic, Australia School of management Hebei University Baoding, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 31-35

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）