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
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
High-order entropy-compressed text indexes
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
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
XCQ: A queriable XML compression system
Knowledge and Information Systems
Type-Based Compression of XML Data
DCC '07 Proceedings of the 2007 Data Compression Conference
XQueC: pushing queries to compressed XML data
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Effective asymmetric XML compression
Software—Practice & Experience
An Effective GML Documents Compressor
IEICE - Transactions on Information and Systems
The myriad virtues of Wavelet Trees
Information and Computation
GQComp: A Query-Supported Compression Technique for GML
CIT '09 Proceedings of the 2009 Ninth IEEE International Conference on Computer and Information Technology - Volume 02
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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Geography Markup Language (GML) has become a standard encoding format for exchanging geographic data among heterogeneous Geographic Information System (GIS) applications. Whereas, the iteration of document structure and the textual expression of geographic data often cause the huge size of GML documents. In this paper, a query-friendly GML compression method is proposed, where the GML documents in SAX document parsing are transformed to a compact representation encompassing an event dictionary, the events hierarchy in balanced parentheses, a binary event wavelet tree and the document content blocks before compressed using a general compression utility. The proposed compression method supports direct path queries and spatial queries over the compressed files without the requirement of a full decompression. The compression model, the query resolution process and the compression algorithm are detailed in this paper, though the presentation is a preliminary investigation and it remains to carry out experiments to validate the proposed compression method on real GML documents.