Abstract: A novel method for Query Expansion (QE) was presented in this paper. The proposed method was a hybrid QE technology that combined user relevance feedback and ontology. The proposed method had two significant novelties: it combined user relevance feedback with ontology and used FirteX as the experimental platform. The proposed method was compared with cosine similarity-based QE that was a widely used query expansion technique. The experimental results show that the proposed method outperforms cosine similarity-based QE 15% and 13% in terms of average precision and average recall and has an improvement of 16% in F-measure.

Key words: information retrieval, Query Expansion (QE), user relevance feedback, ontology

摘要： 描述了一种扩展查询(QE)的新方法，这是一种连接用户相关反馈和本体的混合扩展查询技术，有两大贡献：一是连接了用户相关反馈和本体技术，二是采用FirteX作为实验平台。与目前广泛应用的基于余弦相似性的扩展查询技术相比，实验结果表明方法平均精度达到15%，高于基于余弦相似性的扩展查询技术的13%，并且将平均反馈率提高到了16%。

关键词: 信息检索, 扩展查询, 用户相关反馈, 本体