摘要
认为利用关键词对结构化数据进行查询,实现信息检索和数据库查询的融合的技术已成为热点研究问题。基于模式图的检索算法是目前数据库关键词检索研究的技术之一。现有的模式图算法仍然存在着检索效率低下、查询准确率不高等问题。在对现有算法进行改进的基础上,设计并实现一个基于改进算法的系统,实验表明,使用改进算法的系统具有更高的检索性能和检索效率。
Using keywords for selecting structural data aim at how to integrate DB(Database) and IR( Information Retrieval) technologies. It is a good solution based schema graph. But there are still exist low effectiveness and efficiency of retrieval in current schema graph algorithm. In order to solve these problems, an improved algorithm is designed. The improved algorithm consists of four parts: pre - execution of database, construction of limited query patterns, generation of candidate network, and execution of candidate network. A prototype system is developed based on the improved algorithm. The experiment shows has a better effectiveness and efficiency of retrieval.
出处
《图书情报工作》
CSSCI
北大核心
2010年第23期115-119,共5页
Library and Information Service
基金
南京农业大学人文社会科学基金资助(项目编号:SK09026)研究成果之一
关键词
信息检索
数据库检索
模式图
候选网络
查询优化
information retrieval database select schema graph candidate network query optimizing