XMill: an efficient compressor for XML data
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
On supporting containment queries in relational database management systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Accelerating XPath location steps
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Storing and querying ordered XML using a relational database system
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Holistic twig joins: optimal XML pattern matching
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
ORDPATHs: insert-friendly XML node labels
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Compressing and searching XML data via two zips
Proceedings of the 15th international conference on World Wide Web
Querying and maintaining a compact XML storage
Proceedings of the 16th international conference on World Wide Web
XMark: a benchmark for XML data management
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Compacting XML Structures Using a Dynamic Labeling Scheme
BNCOD 26 Proceedings of the 26th British National Conference on Databases: Dataspace: The Final Frontier
Twiglist: make twig pattern matching fast
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
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XML is becoming the de facto standard to store, exchange and publish information over the web, the need to develop efficient techniques for storing and querying XML documents has emerged. Two challenges in handling XML are its inherent verbosity and the complexity of its structure. A number of labeling schemes have been proposed to support fast XPath query processing, though they require even more storage cost. Compaction of XML documents has become an increasing important research issue. In this paper, we propose a new XML storage scheme called RRZip. In our approach the structure and content data of an XML document are stored separately: relative region labeling scheme are used for both compacting and querying the structure while the content data can be compressed by general-purpose compressors. Experiments show that proposed storage scheme is space and time efficient.