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 :
بازگشت