Relational Databases for Querying XML Documents: Limitations and Opportunities
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Indexing and Querying XML Data for Regular Path Expressions
Proceedings of the 27th International Conference on Very Large Data Bases
The VLDB Journal — The International Journal on Very Large Data Bases
The XML benchmark project
Managing XML Documents Using RDBMS
SNPD-SAWN '05 Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks
LegoDB: customizing relational storage for XML documents
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
XISS/R: XML indexing and storage system using RDBMS
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
ShreX: managing XML documents in relational databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Functional dependencies for XML
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
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We describe X2R, an XML document management system which supports efficient storage, retrieval and key constraints for XML documents. The system is based on a mapping algorithm that translates a DTD to a relational schema. Based on the mapping, node groups are range indexed and shredded into the database. It has been shown that queries are executed several times faster than using the methods in literature, and space usage is significantly reduced. We have also added key support to the system by propagating key constraints for XML documents to keys in a relational schema. The system was designed for efficient access of the vast amount of environmental data, which are widely available in XML format.