Computing Term-Concept Association in Semantic-Based Query Expansion
语义查询扩展中词语-概念相关度的计算

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.