摘要： 针对传统语义查询扩展方法存在返回结果多以及准确率不高的问题，以旅游领域为背景，提出一种语义加权查询扩展方法。利用本体推理能力与本体中的实体相关度进行查询扩展，结合TF-IDF算法的词频加权与语义相关度加权改善检索结果的排序。实验结果表明，相比其他2种方法，该方法能使更多符合要求的查询结果靠前排列，提高了旅游信息检索的正确率。

关键词: 语义查询扩展, 领域本体, 信息检索

Abstract: Aiming at the problem of returning much results has low currency in traditional semantic query expansion method, this paper presents a semantic weighted query expansion which takes the tourism domain as a background. Query expansion is realized by combining reasoning abilities and the entity relatedness. Frequency weighted which includes TF-IDF algorithm and semantic relevancy weighted is combined to improve the ranking of search results. Experimental results show that this method can make more accord with the requirement of the search results in front, and improve the precision of tourism information query compared with the other two methods.

Key words: semantic query expansion, domain ontology, information retrieval

中图分类号: 

• TP393