Study on the Query based on Deep Web Database

摘要：

In order to quickly and accurately using mass information in the Deep Web database. According to the characteristics of the Deep Web: large-scale, dynamic and heterogeneity, One new query method was put forward based on the document divergence for the first time. The experiment adopted testing data of TREC show the method can avoid the repeat of query document in effect, especially for a great deal of documents returned from the deep web database. The method improves the effectiveness of query.

关键词： deep web database divergence feature selection function query cluster

作者: Rong.Luo Chunguang.Li Yuxi.Gong

会议类型: 国际会议

会议名称: 2009 6th International Conference on Service Systems and Service Management( 2009 第六届服务系统与服务管理国际会议)

会议地点: 厦门

会议语种:英文

页码: 575-577

在线出版日期: 2009-06-08（万方平台首次上网日期，不代表论文的发表时间）