DocumentCode :
3232101
Title :
A Collaborative Retrieval System--Full Text Base and Database
Author :
Yang, Chuanyao ; Li, Yuqin ; Wang, Zhenghua ; Zhang, Chenghong ; Hu, Yunfa
Author_Institution :
Fudan Univ., Shanghai
Volume :
3
fYear :
2007
fDate :
July 30 2007-Aug. 1 2007
Firstpage :
1089
Lastpage :
1094
Abstract :
In the past two decades, database systems have been developed rapidly. Much research has been done about the techniques of index and retrieval. In relational database, B tree or B+ tree is used to index the structured data; in full text database, inverted list or sorted duality inter-relevant Successive Trees Model is used to index the full text. But in an integrated database, the efficiency of using traditional way to do retrieving is far from practical in the scenario of mass data and high responsive requirement. In this paper we propose a new collaborative retrieving approach to solve this problem. And the experiment shows this approach helps to improve the efficiency of retrieving.
Keywords :
database indexing; full-text databases; groupware; information retrieval; relational databases; tree data structures; B+ tree data structure; collaborative retrieval system; full text database system; relational database; Artificial intelligence; Collaboration; Collaborative software; Costs; Database systems; Distributed computing; Indexes; Information retrieval; Relational databases; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
Type :
conf
DOI :
10.1109/SNPD.2007.479
Filename :
4288012
Link To Document :
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