Accelerating XPath location steps
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
The Design and Analysis of Computer Algorithms
The Design and Analysis of Computer Algorithms
Index Structures for Path Expressions
ICDT '99 Proceedings of the 7th International Conference on Database Theory
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd 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
A Fast Index for Semistructured Data
Proceedings of the 27th International Conference on Very Large Data Bases
Efficient Complex Query Support for Multiversion XML Documents
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
The complexity of XPath query evaluation
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
ViST: a dynamic index method for querying XML data by tree structures
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
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Inspired by the best querying performance of ViST among the rest of the approaches in the literature, and meanwhile to overcome its shortcomings, in this paper, we present another efficient and novel geometric sequence mechanism, which transforms XML documents and XPath queries into the corresponding geometric data/query sequences. XML querying is thus converted to finding non-contiguous geometric subsequence matches. Our approach ensures correct (i.e., without semantic false) and fast (i.e., without the costly post-processing phase) evaluation of XPath queries, while at the same time guaranteeing the linear space complexity. We demonstrate the significant performance improvement of our approach through a set of experiments on both synthetic and real-life data.