摘要
针对当前查询扩展方法存在的语义偏差和检索主题偏移问题,提出了基于本体和用户查询意图的查询扩展方法。该方法利用本体提供语义知识解决查询扩展过程中的语义偏差和歧义问题,结合用户查询意图进行初始查询扩展概念集的二次筛选,避免查询扩展过程中的检索主题偏移问题。实验结果表明,该方法取得了理想的预期效果,不仅能够有效地改善检索性能,还能够避免查询主题偏移问题。
This paper proposes an query expansion memocl baseo on ontology ano user query lIlteHuolt to solve the problems of semantic deviation and retrieval topic drift in the current query expansion. This method uses ontology to provide semantic knowledge to solve the problems of semantic deviation and am- biguity in the query expansion, combines with user query intent for the second screening of initial query expansion concept set to solve the problem of retrieval topic drift. The experimental results show that this method has achieved the desired effect, not only can improve the retrieval performance effectively, but al- so can avoid the problem of topic drift.
出处
《情报科学》
CSSCI
北大核心
2015年第5期68-71,共4页
Information Science
关键词
查询扩展方法
用户查询意图
本体
query expansion method
user query intention
ontology
