关键词: 本体, 查询扩展, 用户日志, 语义相似度, 共现度

Abstract: In order to solve the word ambiguity problem in information retrieval, a new query expansion method based on ontology and user log is proposed. This paper expands user queries using domain ontology from the semantic level to the formation of the initial expanded concept of set, combined with user query logs set for secondary screening of the initial set by use of co-occurrence analysis. The experimental results show that, compared to the traditional expansion method based on the local co-occurrence and ontology-based extension method, this method not only ensures good robustness, but also effectively improves the retrieval accuracy.

Key words: ontology, query expansion, user log, semantic similarity, co-occurrence degree