%0 Journal Article
%T Computing Term-Concept Association in Semantic-Based Query Expansion<br>语义查询扩展中词语-概念相关度的计算
%A TIAN Xuan
%A DU Xiao-Yong
%A LI Hai-Hua
%A <br>田 萱
%A 杜小勇
%A 李海华
%J 软件学报
%D 2008
%I 
%X In semantic-based query expansion,computing term-concept association is a key step in finding associated concepts to describe the needed query.A method called K2CM (keyword to concept method) is proposed to compute the term-concept association.In K2CM,the attaching relationship among term,document and concept together with term-concept co-occurrence relationship are introduced to compute term-concept association.The attaching relationship derives fi'om the fact that a term is attached to some concepts in annotated corpus,where a term is in some documents and the documents are labeled with some concepts.For term-concept co-occurrence relationship,it is enhanced by the text distance and the distribution feature of term-concept pair in corpus. Experimental results of semantic-based search on three different corpuses show that compared with classical methods,semantic-based query expansion on the basis of K2CM can improve search effectiveness.
%K semantic-based query expansion
%K concept
%K ontology
%K term-concept association<br>语义查询扩展
%K 概念
%K 本体
%K 词语-概念相关度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=A28BF55D7BCE9D51B0AD04E6C54C50BE&yid=67289AFF6305E306&vid=2A8D03AD8076A2E3&iid=5D311CA918CA9A03&sid=CD65D483B6C24C75&eid=84307FA918B9F395&journal_id=1000-9825&journal_name=软件学报&referenced_num=12&reference_num=29