GHIC: A GML Compressor with Holistic Isomorphic Characteristic

Author

Zhang, Haitao ; Zhang, Shuliang ; Lv, Guonian

Author_Institution

Dept. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing

Volume

1

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

281

Lastpage

284

Abstract

At present, GML data compression is a hotspot in the fields of geographic information sharing, interoperability. Based on the analysis of characteristics of traditional GML data compression methods, the paper proposed a GML compressor with holistic isomorphic characteristics, which achieves semantic isomorphic compression by constructing index encodings of feature elementspsila tags and achieves spatial data isomorphic compression by clustering GML spatial data, establishing local coordinate systems and converting GML spatial data into local coordinate systems. Experimental results show that the compressor is more effective than traditional compressors. The GML compressor proposed in this paper has a certain value for theoretical and technological researches of GML data storage, query and transmission.

Keywords

XML; data compression; geographic information systems; open systems; pattern clustering; GHIC-GML data compressor; GIS; GML spatial data clustering; Geography Markup Language; XML; feature element index encoding; geographic information sharing; holistic isomorphic characteristics; interoperability; spatial data isomorphic compression; Compression algorithms; Data compression; Data engineering; Educational technology; Encoding; Geographic Information Systems; Geoscience and remote sensing; Memory; Object oriented modeling; XML; GML; Holistic isomorphic; local coordinate systems; spatial data clustering;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3563-0

Type

conf

DOI

10.1109/ETTandGRS.2008.17

Filename

5070152