GSPress:a GML Stream Compressor
Fubao Zhu · Journal of Chinese Computer Systems · 2011
GML has become the standard for geographical data representation and exchange.In real applications,GML data is always transmitted via network in the form of stream.However,GML documents are usually very large in size because of the verbose tags and large amount of text-encoded coordinate data in the documents.Thus,it is necessary to compress GML stream so as to reduce the transmission cost.In this paper,we propose a GML stream compressor GSPress.It separates spatial data from structural information and compresses them individually.It employs an adaptive method to compress the structural information and the delta compression method to compress the spatial coordinate data.Experimental results show that GSPress can achieve satisfactory compression performance and good tradeoff between compression efficiency and compression effectiveness.