期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2012
卷号：5
期号：2
出版社：SERSC
摘要：This paper proposes a hybrid query expansion method named GAO, which derives from the fact that more and more documents have been annotated with one or several ontology concepts based on their semantic. The GAO method employs a combination of global analysis and ontology technology to improve query expansion performance. The global analysis technology is used to obtain term-concept association, and ontology technology is used to carry out semantic reasoning. Experimental results of query expansion on two different corpuses show that, compared with traditional query expansion methods, the GAO method can improve the precision effectively.
关键词：Query Expansion; Global Analysis; Ontology; Term-concept Association
