Lore: a database management system for semistructured data
ACM SIGMOD Record
XRel: a path-based approach to storage and retrieval of XML documents using relational databases
ACM Transactions on Internet Technology (TOIT)
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A comparison of labeling schemes for ancestor queries
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Path materialization revisited: an efficient storage model for XML data
ADC '02 Proceedings of the 13th Australasian database conference - Volume 5
Storing and querying ordered XML using a relational database system
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Current Approaches to XML Management
IEEE Internet Computing
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
ORDPATHs: insert-friendly XML node labels
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
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Storing XML documents in relational database systems is still the most affordable and available storage solution. Meanwhile more work is still needed to provide efficient support for dynamic XML data stored in RDBMS. We present an abstract design for an Enabled XML Management System, and also propose a new labeling approach for nodes in XML documents, which we call XMask. XMask is a Dewey based labeling technique where each element is identified by a label consisting of two values (1) node Id (2) and node Mask. XMask can efficiently maintain the document structure and order with a short-length label that can fit in a 32-bit integer. We report the results of experimental evaluation using XML data between our approach and two other approaches, namely Edge and XRel, which use integer values for labeling as well. We show that our approach outperforms the other two approaches for complex queries.