An approach to efficient compression transmission schema of GML

An approach to efficient compression transmission schema of GML
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DOI:
10.1109/ycict.2010.5713147
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发表时间:
2010-11
期刊:
2010 IEEE Youth Conference on Information, Computing and Telecommunications
影响因子:
--
通讯作者:
Ye Shen;Jing Feng;Hao Zhu
Ye Shen;Jing Feng;Hao Zhu
中科院分区:
其他
文献类型:
--
作者:
Ye Shen;Jing Feng;Hao Zhu

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GML是一种地理信息编码标准,广泛应用于WebGIS、异构地理信息系统数据的共享、集成和互操作。然而,其继承自XML文件结构和地理信息系统的大量冗余性的特点严重阻碍了WebGIS的应用。根据GML的特点,提出了一种基于数据流的GML数据流压缩算法GDSC(GML数据流压缩),该算法采用“绘制模式”将GML分解为结构数据和值数据,在分离过程中用字典表替换结构数据,并分别对结构数据和值数据进行压缩以提高压缩比。为了减少压缩时间,GDSC使用两个子线程进行压缩、解压缩和网络传输。
GML, a geographic information coding standard, has been widely used in WebGIS, heterogeneous GIS data sharing, integration, and interoperation. However, its features of large amount of redundancy inherited from XML file structure and geographic information system make a serious obstacle in WebGIS applications. According to the characteristics of GML, a data stream-based compression algorithm GDSC ( GML data stream compression ) was given, which separated the GML into structure data and value data using “Draw Pattern”, replaced the structure data with dictionary table during the separation process, and compressed the structure data and value data respectively to increase compression rate. In order to reduce compression time, GDSC uses two sub-threads for compression, decompression and network transmission.