Presentation 2002/7/12
An Adaptive Taxonomy-based Query Modification Method for the Web Retrieval
Mirza Pahievi SAID, Hiroyuki KITAGAWA,
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Abstract(in English) We consider using the information provided by the existing taxonomy-based search engines for facilitating searches in other information resources in the web. For doing this, we send a user query to a taxonomy-based search engine, modify the query using a decision tree built from the retrieval results and send the modified query to other search interfaces available in the Web space. The query modification is adaptive in that it depends on the user query and a context selected from the taxonomy by the user. Furthermore, to give flexibility to users to control the retrieval performance and to deal with the variety of the search interface abilities, we propose a decision tree construction, algorithm adapted for the web retrieval tasks. We conduct some experiments showing the usefulness and effectiveness of the proposed method and the algorithm.
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Keyword(in English) Web Retrieval / Taxonomy / Adaptive Query Modification / Decision Tree
Paper # DE2002-76
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Committee DE
Conference Date 2002/7/12(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) An Adaptive Taxonomy-based Query Modification Method for the Web Retrieval
Sub Title (in English)
Keyword(1) Web Retrieval
Keyword(2) Taxonomy
Keyword(3) Adaptive Query Modification
Keyword(4) Decision Tree
1st Author's Name Mirza Pahievi SAID
1st Author's Affiliation Doctoral Program in Engineering, University()
2nd Author's Name Hiroyuki KITAGAWA
2nd Author's Affiliation Institute of Information Sciences and Electronics, University
Date 2002/7/12
Paper # DE2002-76
Volume (vol) vol.102
Number (no) 209
Page pp.pp.-
#Pages 6
Date of Issue