XMill: an efficient compressor for XML data
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Millau: an encoding format for efficient representation and exchange of XML over the Web
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
A specification of a spatial query language over GML
Proceedings of the 9th ACM international symposium on Advances in geographic information systems
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
An Effective GML Documents Compressor
IEICE - Transactions on Information and Systems
An Empirical Evaluation of XML Compression Tools
Database Systems for Advanced Applications
A spatial proximity based compression method for GML documents
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
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GML has become the standard format for geographical data transfer, exchange and storage. Usually, in GML documents there are many verbose tags and a large amount of coordinate data, which makes them be of extremely large volume. Thus, it is necessary to compress these documents to reduce storage and transmission cost. GML data is often stored and transferred in the form of multiple documents. Although some GML compressors have been developed recently, all of them can process only a single GML document at a time. In this paper, we propose a stream compressor for GML documents, called GDScomp, which can compress a stream of multiple GML documents effectively. It shares the structural information among multiple GML documents by a common dictionary to employ the dynamic compression method and uses the delta compression method for the coordinate data. Experimental results show that GDScomp can achieve satisfactory compression performance when compressing GML documents streams.