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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
A Yellow Page Information Retrieval System Based on Sorted Duality Interrelevant Successive Tree and Industry Ontology
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 Yellow Page Information Retrieval System Based on Sorted Duality Interrelevant Successive Tree and Industry Ontology," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 3, pp. 1147-1152, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.480,
author = {Chuanyao Yang and Yuqin Li and Zhenghua Wang and Chenghong Zhang and Yunfa Hu},
title = {A Yellow Page Information Retrieval System Based on Sorted Duality Interrelevant Successive Tree and Industry Ontology},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {3},
year = {2007},
isbn = {0-7695-2909-7},
pages = {1147-1152},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.480},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - A Yellow Page Information Retrieval System Based on Sorted Duality Interrelevant Successive Tree and Industry Ontology
SN - 0-7695-2909-7
SP1147
EP1152
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
This paper analyses the theory of information retrieval relativity and proposes establishing a content-based industry information retrieval system based on ontology. The system can accomplish the mapping between retrieval results and pragmatics relativity in some degree and bring more convenience to users when querying, which embodies the user-oriented principle. This retrieval system uses a novel retrieval model called sorted duality inter-relevant successive tree to index the contents of yellow page data to improve the retrieval efficiency. The experiment shows that this system is successful and has a better precision and recall of retrieval.
Citation:
Chuanyao Yang, Yuqin Li, Zhenghua Wang, Chenghong Zhang, Yunfa Hu, "A Yellow Page Information Retrieval System Based on Sorted Duality Interrelevant Successive Tree and Industry Ontology," snpd, vol. 3, pp.1147-1152, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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