DocumentCode
2688832
Title
Study on the query based on Deep Web database
Author
Luo, Rong ; Li, Chunguang ; Gong, Yuxi
fYear
2009
fDate
8-10 June 2009
Firstpage
575
Lastpage
577
Abstract
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.
Keywords
Internet; database management systems; query processing; TREC data; deep Web database; query document; Information analysis; Information retrieval; Large-scale systems; Robustness; Spatial databases; Statistical analysis; Statistics; Testing; Web pages; Web sites; cluster; deep web database; divergence; feature selection function; query;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Systems and Service Management, 2009. ICSSSM '09. 6th International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-3661-3
Electronic_ISBN
978-1-4244-3662-0
Type
conf
DOI
10.1109/ICSSSM.2009.5174949
Filename
5174949
Link To Document