Presentation 2004/5/31
A Scheme for Processing Large-Scale XML Data using Partial Compression
Nobuaki NAKAO, Toshiyuki AMAGASA, Shunsuke UEMURA,
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Abstract(in English) In this paper, we present a scheme for processing large-scale XML data using partial compression. In order to process large-scale XML data efficiently, XML processors require large amount of memory, as well as high speed CPUs, from the nature of XML data. However, in general, there exists locality in XML data access, that is, we can find some portions that are accessed more frequently than elsewhere. In our proposed scheme, for XML data being processed, we assume that typical queries and their frequencies are known in advance. Based on the information, we can decide portions that are accessed less frequently. We can reduce the data size by compressing such parts. This enables us to process queries without decompression, even if the queries refer to the compressed parts.
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Keyword(in English) XML / Partial compression / XML processing
Paper # DE2004-1
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Committee DE
Conference Date 2004/5/31(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 Scheme for Processing Large-Scale XML Data using Partial Compression
Sub Title (in English)
Keyword(1) XML
Keyword(2) Partial compression
Keyword(3) XML processing
1st Author's Name Nobuaki NAKAO
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Toshiyuki AMAGASA
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Shunsuke UEMURA
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2004/5/31
Paper # DE2004-1
Volume (vol) vol.104
Number (no) 102
Page pp.pp.-
#Pages 6
Date of Issue