Presentation 2002/7/10
A System for Learning XQuery Queries based on Example Operations
Akira MATSUMOTO, Atsuyuki MORISHIMA, Hiroyuki KITAGAWA,
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Abstract(in English) Existing XML query languages are textual or graphical languages in which we can specify queries for XML manipulation. This paper explains XLearner, a different kind of manipulation framework for XML. XLearner infers XQuery queries based on operations of sample XML elements. Inferring queries for XML is a non-trivial task, because XML is a kind of semistructured data, in contrast to relational databases whose data structure is completely regular. XLearner gives a systematic way to infer XQuery queries. The algorithm requires interactions between the system and the users. The paper reports an overview of its inference mechanism and experimental results on the number of required interactions.
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Keyword(in English) XML / Learning System / Query Language
Paper # DE2002-23
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Committee DE
Conference Date 2002/7/10(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A System for Learning XQuery Queries based on Example Operations
Sub Title (in English)
Keyword(1) XML
Keyword(2) Learning System
Keyword(3) Query Language
1st Author's Name Akira MATSUMOTO
1st Author's Affiliation Doctoral Program in Sys. and Info. Eng., Univ. of Tsukuba Tennohdai()
2nd Author's Name Atsuyuki MORISHIMA
2nd Author's Affiliation Dept. of Info. Sci. and Eng., Shibaura Inst. of Tech.
3rd Author's Name Hiroyuki KITAGAWA
3rd Author's Affiliation Institute of Info. Sci. and Elec., Univ. of Tsukuba
Date 2002/7/10
Paper # DE2002-23
Volume (vol) vol.102
Number (no) 207
Page pp.pp.-
#Pages 6
Date of Issue