Arithmetic coding for data compression
Communications of the ACM
XMill: an efficient compressor for XML data
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
XPRESS: a queriable compression for XML data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Compressing XML with Multiplexed Hierarchical PPM Models
DCC '01 Proceedings of the Data Compression Conference
XGRIND: A Query-Friendly XML Compressor
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Type-Based Compression of XML Data
DCC '07 Proceedings of the 2007 Data Compression Conference
Effective asymmetric XML compression
Software—Practice & Experience
An Effective GML Documents Compressor
IEICE - Transactions on Information and Systems
A GML documents stream compressor
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
A query-friendly compression for GML documents
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
A universal algorithm for sequential data compression
IEEE Transactions on Information Theory
Hi-index | 0.00 |
Geography Markup Language (GML) has become a standard for encoding and exchanging geographic data in various geographic information systems (GIS) applications. Whereas, high-precision spatial data in GML documents often causes high cost in GML storage and transmission as well as parsing. In this paper, we propose a spatial proximity based GML compression method for GML document compression, which transforms spatial data (coordinates in GML documents) into blocks of coordinates and compress coordinates effectively. Concretely, ordered coordinate dictionaries are constructed firstly, and coordinates are encoded as their ordinal numbers in the coordinate dictionaries. Then, delta encoding and LZW encoding are employed to compress the coordinate dictionaries and coordinate ordinal numbers respectively. Finally, the output of the delta encoder and LZW encoder is streamed to a spatial data container. Extensive experiments over real GML documents show that the proposed method outperforms the existing major XML and GML compression methods in compression ratio, while maintaining an acceptable compression efficiency.