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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
A Collaborative Retrieval System--Full Text Base and Database
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Chuanyao Yang, Yuqin Li, Zhenghua Wang, Chenghong Zhang, Yunfa Hu, "A Collaborative Retrieval System--Full Text Base and Database," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 3, pp. 1089-1094, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
x
 
@article{ 10.1109/SNPD.2007.479,
author = {Chuanyao Yang and Yuqin Li and Zhenghua Wang and Chenghong Zhang and Yunfa Hu},
title = {A Collaborative Retrieval System--Full Text Base and Database},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {3},
year = {2007},
isbn = {0-7695-2909-7},
pages = {1089-1094},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.479},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - A Collaborative Retrieval System--Full Text Base and Database
SN - 0-7695-2909-7
SP1089
EP1094
A1 - Chuanyao Yang,
A1 - Yuqin Li,
A1 - Zhenghua Wang,
A1 - Chenghong Zhang,
A1 - Yunfa Hu,
PY - 2007
KW - null
VL - 3
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Chuanyao Yang, Fudan University, China
Yuqin Li, Fudan University, China
Zhenghua Wang, Fudan University, China
Chenghong Zhang, Fudan University, China
Yunfa Hu, Fudan University, China
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.
Citation:
Chuanyao Yang, Yuqin Li, Zhenghua Wang, Chenghong Zhang, Yunfa Hu, "A Collaborative Retrieval System--Full Text Base and Database," snpd, vol. 3, pp.1089-1094, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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