XRel: a path-based approach to storage and retrieval of XML documents using relational databases
ACM Transactions on Internet Technology (TOIT)
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
Tamino - An Internet Database System
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Relational Databases for Querying XML Documents: Limitations and Opportunities
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Querying and Updating the File
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Anatomy of a native XML base management system
The VLDB Journal — The International Journal on Very Large Data Bases
A comprehensive XQuery to SQL translation using dynamic interval encoding
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
TIMBER: a native system for querying XML
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
MASS: a multi-axis storage structure for large XML documents
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Accelerating XPath evaluation in any RDBMS
ACM Transactions on Database Systems (TODS)
Recursive XML Schemas, Recursive XML Queries, and Relational Storage: XML-to-SQL Query Translation
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
ORDPATHs: insert-friendly XML node labels
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
The BEA streaming XQuery processor
The VLDB Journal — The International Journal on Very Large Data Bases
A comprehensive solution to the XML-to-relational mapping problem
Proceedings of the 6th annual ACM international workshop on Web information and data management
Pathfinder: XQuery---the relational way
VLDB '05 Proceedings of the 31st international conference on Very large data bases
XMark: a benchmark for XML data management
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient XML-to-SQL query translation: where to add the intelligence?
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Indexing XML data stored in a relational database
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Xpath on steroids: exploiting relational engines for xpath performance
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Query translation from XPath to SQL in the presence of recursive DTDs
The VLDB Journal — The International Journal on Very Large Data Bases
A bi-labeling based XPath processing system
Information Systems
Efficient physical operators for cost-based XPath execution
Proceedings of the 13th International Conference on Extending Database Technology
On the efficient processing regular path expressions of an enormous volume of XML data
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
Optimizing queries for web generated sensor data
ADC '11 Proceedings of the Twenty-Second Australasian Database Conference - Volume 115
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This work describes a method for processing XPath on a relational back-end that significantly limits the number of SQL joins required, takes advantage of the strengths of modern SQL query processors, exploits XML schema information and has low implementation complexity. The method is based on the splitting of XPath expressions into Primary Path Fragments (PPFs) and their subsequent combination using an efficient structural join method, and is applicable to all XPath axes. A detailed description of the method is followed by an experimental study that shows our technique yields significant efficiency improvements over other XPath processing techniques and systems.