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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)
Design and Compressed Storage of Inverted Index Based on Mixed Word Segmentation
Adelaide, Australia
January 23-January 24
ISBN: 0-7695-3090-7
ASCII Text
x 
 
Jin Luo, Xiao-Fang Zu, Shu-Liang Liu, Fa-Yong Zhang, Xin-Cai Wu, "Design and Compressed Storage of Inverted Index Based on Mixed Word Segmentation," International Workshop on Knowledge Discovery and Data Mining, pp. 334-338, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008.
 
 
BibTex
x
 
@article{ 10.1109/WKDD.2008.137,
author = {Jin Luo and Xiao-Fang Zu and Shu-Liang Liu and Fa-Yong Zhang and Xin-Cai Wu},
title = {Design and Compressed Storage of Inverted Index Based on Mixed Word Segmentation},
journal ={International Workshop on Knowledge Discovery and Data Mining},
volume = {0},
year = {2008},
isbn = {0-7695-3090-7},
pages = {334-338},
doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.137},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Workshop on Knowledge Discovery and Data Mining
TI - Design and Compressed Storage of Inverted Index Based on Mixed Word Segmentation
SN - 0-7695-3090-7
SP334
EP338
A1 - Jin Luo,
A1 - Xiao-Fang Zu,
A1 - Shu-Liang Liu,
A1 - Fa-Yong Zhang,
A1 - Xin-Cai Wu,
PY - 2008
VL - 0
JA - International Workshop on Knowledge Discovery and Data Mining
ER -
 
Speed and accuracy are the two key factors for the public-oriented integrated information service platform. This paper discusses a mixed segmentation based on the inverted index and compression algorithm. By combining database and file storage, we achieved index storage, which can support multi-table & multi-field simultaneous inquiry effectively. The design think of search engine interface based on such index storage mode has been introduced in detail at last in the paper. According to the above, search engine we designed inquiries faster than commonly used SQL statements several times faster. I am sure that will make more practical value for those who are interested in it.
Citation:
Jin Luo, Xiao-Fang Zu, Shu-Liang Liu, Fa-Yong Zhang, Xin-Cai Wu, "Design and Compressed Storage of Inverted Index Based on Mixed Word Segmentation," wkdd, pp.334-338, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
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