On supporting containment queries in relational database management systems
SIGMOD '01 Proceedings of the 2001 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
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Relational Databases for Querying XML Documents: Limitations and Opportunities
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Quilt: An XML Query Language for Heterogeneous Data Sources
Selected papers from the Third International Workshop WebDB 2000 on The World Wide Web and Databases
ViST: a dynamic index method for querying XML data by tree structures
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Structural Joins: A Primitive for Efficient XML Query Pattern Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
On the Sequencing of Tree Structures for XML Indexing
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
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An XML twig query, represented as a labeled tree, is essentially a complex predicate on both structure and content of an XML document. Twig query matching has been considered as a core operation in querying tree structured XML data. Among all the proposed strategies, the method based on the so-called stack encoding aims at the reduction of intermediate results by compressing matching paths. The idea itself is very interesting. However, the processes for generating compressed paths suffer substantial redundancy and can be greatly improved. In this paper, we analyze this method and show that the time complexities of path generation in its two main procedures: PathStack and TwigStack can be reduced from O(m2n) to O(mn), where m and n are the sizes of the query tree and document tree, respectively.