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

摘要： 为了解决信息检索中存在的用词歧义性问题，提出一种基于本体和用户日志的查询扩展方法。利用领域本体从语义层面扩展用户查询形成初始扩展概念集，结合用户查询日志利用共现度分析对初始扩展概念集进行二次筛选。实验结果表明，与传统的基于局部共现的扩展方法和基于本体的扩展方法相比较，该方法在保障良好鲁棒性的同时，有效地提高了检索准确率。

关键词: 本体, 查询扩展, 用户日志, 语义相似度, 共现度