On supporting containment queries in relational database management systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
APEX: an adaptive path index for XML data
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Covering indexes for branching path queries
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
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
A Fast Index for Semistructured Data
Proceedings of the 27th 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
Exploiting Local Similarity for Indexing Paths in Graph-Structured Data
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Efficient processing of XML twig queries with OR-predicates
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Efficient processing of XML twig patterns with parent child edges: a look-ahead approach
Proceedings of the thirteenth ACM international conference on Information and knowledge management
On boosting holism in XML twig pattern matching using structural indexing techniques
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
From region encoding to extended dewey: on efficient processing of XML twig pattern matching
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Holistic twig joins on indexed XML documents
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Efficient processing of ordered XML twig pattern
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
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In order to find all occurrences of a tree/twig pattern in an XML database, a number of holistic twig join algorithms have been proposed. However, most of these algorithms focus on identifying a larger query class or using a novel label scheme to reduce I/O operations, and ignore the deficiency of the root-to-leaf strategy. In this paper, we propose a novel twig join algorithm called Track, which adopts the opposite leaf-to-root strategy to process queries. It brings us two benefits: (i) avoiding too much time checking the element index to make sure all branches are satisfied before a new element comes, (ii)using the tree structure to encode final tree matches so as to avoid the merging process. Further experiments on diverse data sets show that our algorithm is indeed superior to current algorithms in terms of query processing performance.