The Study of Semantic Query Expansion Based on Improved Vector Space Model
Semantic-based query expansion is one of the hottest researches in the field of current information retrieval, but it still lacks a better recognized solution. The traditional vector space model succeed in solving the problem of relevance-match between two documents, but it ignores the semantics relevance between the basic language units which constitute the vector. This paper proposes an improved vector space model, which applies in the field of query expansion combined with the Semantic Knowledge Base and gets a good result by testing in the implementation system.
Semantic Retrieval Query Expansion Vector Space Model Semantic Knowledge Base
Qili Tao Ling Gao Zhe Zhang
Dept. of Computer Science and Technology Northwest University Xian, P.R.China
国际会议
西安
英文
342-344
2011-05-27（万方平台首次上网日期，不代表论文的发表时间）