An Effective GML Documents Compressor

Jihong GUAN; Shuigeng ZHOU; Yan CHEN

doi:10.1093/ietisy/e91-d.7.1982

An Effective GML Documents Compressor

Jihong GUAN, Shuigeng ZHOU, Yan CHEN

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As GML is becoming the de facto standard for geographic data storage, transmission and exchange, more and more geographic data exists in GML format. In applications, GML documents are usually very large in size because they contain a large number of verbose markup tags and a large amount of spatial coordinate data. In order to speedup data transmission and reduce network cost, it is essential to develop effective and efficient GML compression tools. Although GML is a special case of XML, current XML compressors are not effective if directly applied to GML, because these compressors have been designed for general XML data. In this paper, we propose GPress, a compressor for effectively compressing GML documents. To the best of our knowledge, GPress is the first compressor specifically for GML documents compression. GPress exploits the unique characteristics of GML documents to achieve good performance. Extensive experiments over real-world GML documents show that GPress evidently outperforms XMill (one of the best existing XML compressors) in compression ratio, while its compression efficiency is comparable to the existing XML compressors.

Publication: IEICE TRANSACTIONS on Information Vol.E91-D No.7 pp.1982-1990

Publication Date: 2008/07/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e91-d.7.1982

Type of Manuscript: PAPER

Category: Database

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Jihong GUAN, Shuigeng ZHOU, Yan CHEN, "An Effective GML Documents Compressor" in IEICE TRANSACTIONS on Information, vol. E91-D, no. 7, pp. 1982-1990, July 2008, doi: 10.1093/ietisy/e91-d.7.1982.
Abstract: As GML is becoming the de facto standard for geographic data storage, transmission and exchange, more and more geographic data exists in GML format. In applications, GML documents are usually very large in size because they contain a large number of verbose markup tags and a large amount of spatial coordinate data. In order to speedup data transmission and reduce network cost, it is essential to develop effective and efficient GML compression tools. Although GML is a special case of XML, current XML compressors are not effective if directly applied to GML, because these compressors have been designed for general XML data. In this paper, we propose GPress, a compressor for effectively compressing GML documents. To the best of our knowledge, GPress is the first compressor specifically for GML documents compression. GPress exploits the unique characteristics of GML documents to achieve good performance. Extensive experiments over real-world GML documents show that GPress evidently outperforms XMill (one of the best existing XML compressors) in compression ratio, while its compression efficiency is comparable to the existing XML compressors.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.7.1982/_p

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@ARTICLE{e91-d_7_1982,
author={Jihong GUAN, Shuigeng ZHOU, Yan CHEN, },
journal={IEICE TRANSACTIONS on Information},
title={An Effective GML Documents Compressor},
year={2008},
volume={E91-D},
number={7},
pages={1982-1990},
abstract={As GML is becoming the de facto standard for geographic data storage, transmission and exchange, more and more geographic data exists in GML format. In applications, GML documents are usually very large in size because they contain a large number of verbose markup tags and a large amount of spatial coordinate data. In order to speedup data transmission and reduce network cost, it is essential to develop effective and efficient GML compression tools. Although GML is a special case of XML, current XML compressors are not effective if directly applied to GML, because these compressors have been designed for general XML data. In this paper, we propose GPress, a compressor for effectively compressing GML documents. To the best of our knowledge, GPress is the first compressor specifically for GML documents compression. GPress exploits the unique characteristics of GML documents to achieve good performance. Extensive experiments over real-world GML documents show that GPress evidently outperforms XMill (one of the best existing XML compressors) in compression ratio, while its compression efficiency is comparable to the existing XML compressors.},
keywords={},
doi={10.1093/ietisy/e91-d.7.1982},
ISSN={1745-1361},
month={July},}

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TY - JOUR
TI - An Effective GML Documents Compressor
T2 - IEICE TRANSACTIONS on Information
SP - 1982
EP - 1990
AU - Jihong GUAN
AU - Shuigeng ZHOU
AU - Yan CHEN
PY - 2008
DO - 10.1093/ietisy/e91-d.7.1982
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2008
AB - As GML is becoming the de facto standard for geographic data storage, transmission and exchange, more and more geographic data exists in GML format. In applications, GML documents are usually very large in size because they contain a large number of verbose markup tags and a large amount of spatial coordinate data. In order to speedup data transmission and reduce network cost, it is essential to develop effective and efficient GML compression tools. Although GML is a special case of XML, current XML compressors are not effective if directly applied to GML, because these compressors have been designed for general XML data. In this paper, we propose GPress, a compressor for effectively compressing GML documents. To the best of our knowledge, GPress is the first compressor specifically for GML documents compression. GPress exploits the unique characteristics of GML documents to achieve good performance. Extensive experiments over real-world GML documents show that GPress evidently outperforms XMill (one of the best existing XML compressors) in compression ratio, while its compression efficiency is comparable to the existing XML compressors.
ER -