Presentation 2001/7/11
Classifier-based Focused Retrieval for Text Databases
Said Mirza Pahlevi, Hiroyuki Kitagawa, Yoshiharu Ishikawa,
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Abstract(in English) Most of the casual users always use very short queries in information retrieval, and cannot be expected to take the trouble to formulated longer and more elaborate queries that can further improve the accuracy of their retrieval results. The well-known method to deal with this issue is automatic query expansion. In this paper, we propose a method to increase the accuracy of the retrieval results by not only using keywords from the queries but also a taxonomy. A user gives keywords as a query to the system, and at the same time he/she selects from the taxonomy a context node of the query. After retrieving initial results, system then uses the taxonomy to classify the results. Documents classified to the context node and its descendants are considered relevant to the query, while the others are considered non-relevant. Based on the relevancy of the documents, the system constructs a rule-based classifier and used the rules from the classifier to expand the query.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) classifier-based information retrieval / automatic query expansion / rule-based classifier
Paper # DE2001-56
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Conference Information
Committee DE
Conference Date 2001/7/11(1days)
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Registration To Data Engineering (DE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Classifier-based Focused Retrieval for Text Databases
Sub Title (in English)
Keyword(1) classifier-based information retrieval
Keyword(2) automatic query expansion
Keyword(3) rule-based classifier
1st Author's Name Said Mirza Pahlevi
1st Author's Affiliation Doctoral Program in Engineering, University of Tsukuba()
2nd Author's Name Hiroyuki Kitagawa
2nd Author's Affiliation Institute of Information Sciences and Electronics, University of Tsukuba
3rd Author's Name Yoshiharu Ishikawa
3rd Author's Affiliation Institute of Information Sciences and Electronics, University of Tsukuba
Date 2001/7/11
Paper # DE2001-56
Volume (vol) vol.101
Number (no) 192
Page pp.pp.-
#Pages 6
Date of Issue