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
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Structural Joins: A Primitive for Efficient XML Query Pattern Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
TJFast: effective processing of XML twig pattern matching
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
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With the growing importance of semi-structure data in information exchange, effort has been put in providing an effective mechanism to match a twig query in an XML database. Bruno et al. have proposed a novel algorithm TwigStack to deal with the twig query pattern by scanning the tag streams only once. In this paper, we propose a new index called C-Tree and two algorithms named NestTwigStack and ADTwigStack to speed up the processing of twig pattern queries by omitting some elements that can be processed without scanning. Using C-Tree , our algorithms can accelerate both the ancestor-descendant and parent-child edges by skipping the elements with their context in documents. We complement our research with experiments on a set of real and synthetic data, which are intended to show the significant superiority of our algorithms over the previous algorithms.