Presentation 2008-09-21
Evaluating Algorithms for TOPOLOGICAL ROLLUP in XML-OLAP
Chantola KIT, Toshiyuki AMAGASA, Hiroyuki KITAGAWA,
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Abstract(in English) The essence of XML data is the interchange of electronic data between data sources on the web. Therefore, XML is playing an important role in data storage and transmission. Whereas wide spectrum of data is represented in XML format, complex analysis on XML data becomes progressively important. To respond to the demand, we have proposed a system for XML data analysis adopting the features of OLAP system which we call XML-OLAP. Recently, we migrate our research to structure-based grouping for our XML-OLAP system that is TOPOLOGICAL ROLLUP. Based on the well-known algorithms of Structural Join, we proposed some algorithms for TOPOLOGICAL ROLLUP, namely Top-Down, Bottom-UP, and Single Scan by Preorder/Postorder number. In this paper, we will describe the algorithms, evaluation on the proposed algorithms, and show their performance with synthesized data varying by some features which enable us to make proper assessment.
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Keyword(in English) XML / XML-OLAP / Structural Join / TOPOLOGICAL ROLLUP
Paper # DE2008-38
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Committee DE
Conference Date 2008/9/14(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluating Algorithms for TOPOLOGICAL ROLLUP in XML-OLAP
Sub Title (in English)
Keyword(1) XML
Keyword(2) XML-OLAP
Keyword(3) Structural Join
Keyword(4) TOPOLOGICAL ROLLUP
1st Author's Name Chantola KIT
1st Author's Affiliation Graduate School of Systems and Information Engineering University of Tsukuba()
2nd Author's Name Toshiyuki AMAGASA
2nd Author's Affiliation Center for Computational Science University of Tsukuba
3rd Author's Name Hiroyuki KITAGAWA
3rd Author's Affiliation Center for Computational Science University of Tsukuba
Date 2008-09-21
Paper # DE2008-38
Volume (vol) vol.108
Number (no) 211
Page pp.pp.-
#Pages 2
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