XTRACT: a system for extracting document type descriptors from XML documents
SIGMOD '00 Proceedings of the 2000 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
Querying XML Views of Relational Data
Proceedings of the 27th International Conference on Very Large Data Bases
From XML Schema to Relations: A Cost-Based Approach to XML Storage
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Triggers over XML Views of Relational Data
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
SQL to XQuery Translation in the AquaLogic Data Services Platform
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Searchable compression of office documents by XML schema subtraction
XSym'10 Proceedings of the 7th international XML database conference on Database and XML technologies
Query transformation of SQL into XQuery within federated environments
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
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SQL/XML allows generating an XML document as the result of a query that is evaluated on relational data. This facilitates companies sharing their relational data in form of XML documents with other companies or with a marketplace, but significantly increases the exchanged data volume. To reduce both the volume of the exchanged data by exchanging compressed XML and the time needed for compression, we propose an approach that allows preparation of a compressed XML document as the answer to an SQL/XML query directly, i.e., without the need to create the XML document first and compress it afterwards. Our evaluation has shown that generating the compressed document directly is in most cases faster than generating the uncompressed XML document and compressing it, and in some cases it is even faster than the generation of the uncompressed XML document alone. As our approach of generating compressed XML requires only SQL support from the underlying database system, a second advantage is that it can be used for the generation of compressed XML even for database systems that do not (yet) support SQL/XML (like MySQL).