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A Statistical Approach for XML Query Size Estimation

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Current Trends in Database Technology - EDBT 2004 Workshops (EDBT 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3268))

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Abstract

The increasing number of XML repositories has intensified research activities in the optimization of XML queries. The success of any optimization approach hinges on an accurate query size estimation. This paper presents a statistical method for estimating the result size of XML queries. Our estimation system extracts two summarized information, namely, node ratio and node factor, from every distinct parent-child path in the XML files. Experiment results indicate that our approach requires small memory footprint, and yet proves to be sufficient in estimating the result size of queries under the data-independent assumption.

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References

  1. http://www.imdb.com

  2. http://www.ibiblio.org/xml/examples/shakespeare

  3. http://www.informatik.uni-trier.de/~ley/db/

  4. http://monetdb.cwi.nl/

  5. Aboulnaga, A., Alameldeen, A.R., Naughton, J.F.: Estimating the Selectivity of XML Path Expressions for internet Scale Applications. In: VLDB (2001)

    Google Scholar 

  6. Chen, Z., Jagadish, H.V., Korn, F., Koudas, N.: Counting Twig Matches in a Tree. In: ICDE (2001)

    Google Scholar 

  7. Lim, L., Wang, M., Padmanabhan, S., Vitter, J.S., Parr, R.: XPathLearner: An OnLine Self-Tuning Markov Histogram for XML Path Selectivity Estimation. In: VLDB 2002 (2002)

    Google Scholar 

  8. Polyzotis, N., Garofalakis, M.: Statistical Synopses for Graph-Structured XML Database. In: SIGMOD (2002)

    Google Scholar 

  9. Wu, Y., Patel, J.M., Jagadish, H.V.: Estimating Answer Sizes for XML Queries. In: Jensen, C.S., Jeffery, K., Pokorný, J., Šaltenis, S., Bertino, E., Böhm, K., Jarke, M. (eds.) EDBT 2002. LNCS, vol. 2287, p. 590. Springer, Heidelberg (2002)

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© 2004 Springer-Verlag Berlin Heidelberg

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Lee, M.L., Li, H., Hsu, W., Ooi, B.C. (2004). A Statistical Approach for XML Query Size Estimation. In: Lindner, W., Mesiti, M., Türker, C., Tzitzikas, Y., Vakali, A.I. (eds) Current Trends in Database Technology - EDBT 2004 Workshops. EDBT 2004. Lecture Notes in Computer Science, vol 3268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30192-9_24

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  • DOI: https://doi.org/10.1007/978-3-540-30192-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23305-3

  • Online ISBN: 978-3-540-30192-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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