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Query optimization for vector space problems
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
New Orleans, Louisiana, United States
Pages: 416 - 417  
Year of Publication: 2001
ISBN:1-58113-331-6
Authors
K. Goda  Univ. of Tokyo, Tokyo, Japan
T. Tamura  Mitsubishi Electric Corp.
M. Kitsuregawa  Univ. of Tokyo, Tokyo, Japan
A. Chowdhury  Illinois Institute of Technology
O. Frieder  Illinois Institute of Technology
Sponsor
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 35,   Citation Count: 1
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ABSTRACT

We present performance measurement results for a parallel SQL based information retrieval system implemented on a PC cluster system. We used the Web-TREC dataset under a left-deep query execution plan. We achieved satisfactory speed up.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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O. Frieder,A.Chowdhury,D.Grossman,and M.C. McCabe.On the integration of structured data and text:A review of the SIRE architecture.In DELOS Workshop on Information Seeking, Searching, and Querying in Digital Libraries December 2000.
 
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T. Grabs,K.Boehm,and H.-J.Schek.A parallel document engine built on top of a cluster of databases - design,implementation,and experiences.In IEEE Data Engineering Conference April 2001.
 
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Collaborative Colleagues:
K. Goda: colleagues
T. Tamura: colleagues
M. Kitsuregawa: colleagues
A. Chowdhury: colleagues
O. Frieder: colleagues