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AB-Index: An Efficient Adaptive Index for Branching XML Queries

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Advances in Databases: Concepts, Systems and Applications (DASFAA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4443))

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Abstract

Query-adaptive XML indexing has been proposed and shown to be an efficient way to accelerate XML query processing, because it dynamically adapts to the workload. However, existing adaptive index lack of support for branching queries, and also with low efficiency for query processing and adaptation operations. In this paper, we propose a new Adaptive index for Branching queries, which is named as AB-Index. It is designed to support XML path queries with branching predicates. Efficient index construction, query processing, and index adaptation algorithms are proposed for AB-Index. In the experiments, the proposed index is demonstrated to outperform the state-of-the-art approach in the area of adaptive index in terms of query and adaptation efficiencies.

This work is partially supported by Sybase Project, NSFC under grants(No.60673137 and 60403019) and National Hi-Tech program under grant 2006AA01Z103.

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Ramamohanarao Kotagiri P. Radha Krishna Mukesh Mohania Ekawit Nantajeewarawat

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© 2007 Springer-Verlag Berlin Heidelberg

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Zhang, B., Wang, W., Wang, X., Zhou, A. (2007). AB-Index: An Efficient Adaptive Index for Branching XML Queries. In: Kotagiri, R., Krishna, P.R., Mohania, M., Nantajeewarawat, E. (eds) Advances in Databases: Concepts, Systems and Applications. DASFAA 2007. Lecture Notes in Computer Science, vol 4443. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71703-4_90

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  • DOI: https://doi.org/10.1007/978-3-540-71703-4_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71702-7

  • Online ISBN: 978-3-540-71703-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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