Presentation 2004-10-19
Analyzing the Properties of Answers in Keyword-based Document Fragment Retrieval
Kenji HATANO, Hiroko KINUTANI, Masatoshi YOSHIKAWA, Shunsuke UEMURA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we analyze the properties of answers in keyword-based XML document fragment retrieval and report their analyses. The most important point in keyword-based XML document fragment retrieval is removing the fragments which are not answers to any query from indices of information retrieval system. Currently, the removing process does not work well enough thus, it has a negative influence on the retrieval accuracy of the information retrieval system. However, our analyses can contribute to improving the retrieval accuracy in keyword-based XML fragment retrieval.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Keyword-based XML document retrieval / Determining the unit of answer fragment
Paper # DE2004-119,DC2004-34
Date of Issue

Conference Information
Committee DC
Conference Date 2004/10/12(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Dependable Computing (DC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analyzing the Properties of Answers in Keyword-based Document Fragment Retrieval
Sub Title (in English)
Keyword(1) Keyword-based XML document retrieval
Keyword(2) Determining the unit of answer fragment
1st Author's Name Kenji HATANO
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Hiroko KINUTANI
2nd Author's Affiliation Information Media and Education Square, Ochariornizu University
3rd Author's Name Masatoshi YOSHIKAWA
3rd Author's Affiliation Information Technology Center, Nagoya University
4th Author's Name Shunsuke UEMURA
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2004-10-19
Paper # DE2004-119,DC2004-34
Volume (vol) vol.104
Number (no) 347
Page pp.pp.-
#Pages 6
Date of Issue