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Classification of index partitions to boost XML query performance

Marks, Gerard and Roantree, Mark (2010) Classification of index partitions to boost XML query performance. In: Conceptual Modeling – ER 2010, 1-4 Nov 2010, Vancouver, Canada. ISBN 978-3-642-16372-2

XML query optimization continues to occupy considerable research effort due to the increasing usage of XML data. Despite many innovations over recent years, XML databases struggle to compete with more traditional database systems. Rather than using node indexes, some efforts have begun to focus on creating partitions of nodes within indexes. The motivation is to quickly eliminate large sections of the XML tree based on the partition they occupy. In this research, we present one such partition index that is unlike current approaches in how it determines size and number of these partitions. Furthermore, we provide a process for compacting the index and reducing the number of node access operations in order to optimize XML queries.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Computer engineering
Computer Science > Information retrieval
Computer Science > Algorithms
DCU Faculties and Centres:UNSPECIFIED
Published in: ER'10 Proceedings of the 29th international conference on Conceptual modeling. Lecture Notes in Computer Sciecne 6412. Springer-Verlag. ISBN 978-3-642-16372-2
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16643
Deposited On:02 Nov 2011 14:12 by Gerard Marks . Last Modified 19 Jul 2018 14:54

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