STUDY ON THE QUERY OPTIMIZATION FOR THE DEEP WEB DATA INTEGRATION SYSTEM

摘要：

In order to query and retrieve the rich and useful information hidden in the Deep Web efficiently, Deep Web Data Integration Systems (DWDIS) are in active research.To build a practical and useful DWDIS, one of the key problems is to raise the query efficiency. In this paper, by mining the user query logs, adopting the idea of high-speed cache, adding a welldesigned local index database in the DWDIS and other steps, a novel optimal query model NDWDIS is presented.Besides, a corresponding strategy for updating the content of the local index database is given and a theoretical qualitative analysis is made of the proposed method.

关键词： Deep Web Deep Web Data Integration System (DWDIS) Query Local index database

作者: LI YANNI JIAO CHANGZHE

作者单位: School of Software,Xidian University,China School of Electronic & Mechanical Engineering,Xidian University,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 1180-1184

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）