Text compression
Elements of information theory
Elements of information theory
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
The implementation and performance of compressed databases
ACM SIGMOD Record
Algorithms and programming models for efficient representation of XML for Internet applications
Proceedings of the 10th international conference on World Wide Web
Data Structures and Algorithm Analysis in C++
Data Structures and Algorithm Analysis in C++
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Covering indexes for branching path queries
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Introduction To Automata Theory, Languages, And Computation
Introduction To Automata Theory, Languages, And Computation
Operating System Concepts
Block-Oriented Compression Techniques for Large Statistical Databases
IEEE Transactions on Knowledge and Data Engineering
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Xanadu: XML- and Active-Database-Unified Approach to Distributed E-Commerce
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Dictionary-based order-preserving string compression
The VLDB Journal — The International Journal on Very Large Data Bases
XPRESS: a queriable compression for XML data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Unbounded length contexts for PPM
DCC '95 Proceedings of the Conference on Data Compression
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
Squeezex: Synthesis and Compression of XML Data
ITCC '02 Proceedings of the International Conference on Information Technology: Coding and Computing
XMark: a benchmark for XML data management
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Path queries on compressed XML
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
XQueC: pushing queries to compressed XML data
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
XQueC: A query-conscious compressed XML database
ACM Transactions on Internet Technology (TOIT)
An analysis of XML compression efficiency
Proceedings of the 2007 workshop on Experimental computer science
The Effects of XML Compression on SOAP Performance
World Wide Web
Effective asymmetric XML compression
Software—Practice & Experience
Usage-driven storage structures for native XML databases
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
An Effective GML Documents Compressor
IEICE - Transactions on Information and Systems
XML Lossy Text Compression: A Preliminary Study
XSym '09 Proceedings of the 6th International XML Database Symposium on Database and XML Technologies
Compression of Probabilistic XML Documents
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
Connecting resource-constrained robots to knowledge-based systems
MIC '08 Proceedings of the 27th IASTED International Conference on Modelling, Identification and Control
Combining efficient XML compression with query processing
ADBIS'07 Proceedings of the 11th East European conference on Advances in databases and information systems
An efficient co-operative framework for multi-query processing over compressed XML data
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Entity Notation: enabling knowledge representations for resource-constrained sensors
Personal and Ubiquitous Computing
A context-dependent XML compression approach to enable business applications on mobile devices
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
Refactoring legacy AJAX applications to improve the efficiency of the data exchange component
Journal of Systems and Software
A new compression algorithm of data provenance based on self-adaptive granularity
International Journal of Computer Applications in Technology
Hi-index | 0.00 |
XML provides flexibility in publishing and exchanging heterogeneous data on the Web. However, the language is by nature verbose and thus XML documents are usually larger in size than other specifications containing the same data content. It is natural to expect that the data size will continue to grow as XML data proliferates on the Web. The size problem of XML documents hinders the applications of XML, since it substantially increases the costs of storing, processing and exchanging the data. The hindrance is more apparent in bandwidth- and memory-limited settings such as those applications related to mobile communication.In this paper, we survey a range of recently proposed XML specific compression technologies and study their efforts and capabilities to overcome the size problem. First, by categorizing XML compression technologies into queriable and unqueriable compressors, we explain the efforts in the representative technologies that aim at utilizing the exposed structure information from the input XML documents. Second, we discuss the importance of queriable XML compressors and assess whether the compressed XML documents generated from these technologies are able to support direct querying on XML data. Finally, we present a comparative analysis of the state-of-the-art XML conscious compression technologies in terms of compression ratio, compression and decompression times, memory consumption, and query performance.