摘要
将语义扩展与统计扩展相结合,提出了一种基于本体和局部共现的查询扩展方法,该方法利用本体和局部共现分别得到语义候选扩展概念集和统计候选扩展概念集,对这两个扩展集进行二次筛选以得到最终的查询扩展概念;并给出了一种计算扩展词权重的方法。实验结果表明,扩展后的查询更能反映用户的查询请求,在设计的语义检索系统中,该方法能有效提高查全率和查准率。
Combining the semantic expansion and the statistics expansion, a method of query expansion based on ontology and local co-occurrence was proposed. The set of semantics candidate expansion concepts and the set of statistics candi- date expansion concepts are respectively obtained by ontology and local co-occurrence. Then the final query expansion concepts are got by secondary filter. The method was presented to calculate the weight of expansion words. The results show that the query after expanding can reflect the user＇s query better. In the design of semantic retrieval system, the method can effectively improve recall and precision.
作者
王旭阳
尉醒醒
WANG Xu-yang WEI Xing-xing(College of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050,Chin)
出处
《计算机科学》
CSCD
北大核心
2017年第1期214-218,共5页
Computer Science
关键词
本体
局部共现
查询扩展
语义检索
Ontology, Local co-occurrence, Query expansion, Semantic retrieval
