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Using XML Structure to Reduce Candidate Nodes Participated in Query Processing

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Advances in Web-Age Information Management (WAIM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3739))

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Abstract

Several algorithms have focused on processing path expression queries. Following those algorithms, all the nodes, matched with path expressions, are participated in computing. In this paper, we propose a novel filter strategy to reduce the number of candidate nodes based on the structure of XML data. All nodes are clustered based on their labels, and path information of each node is kept in bit vectors. Our filter technology mainly depends on high performance of bit operations. The experimental results show that these filter algorithms are effective, scalable and efficient.

Supported by the Defence Pre-Research Project of the “Tenth Five-Year-Plan” of China No.41315.2.3; the National Natural Science Foundation of China, No. 60273082.

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References

  1. Jiang, H., Lu, H., Wang, W., Yu, J.X.: Holistic Twig Joins on Indexed XML Documents. In: VLDB, pp. 273–284 (2003)

    Google Scholar 

  2. Chien, S.-Y., Vagena, Z., Zhang, D., Tsotras, V., Zaniolo, C.: Efficient Structural Joins on Indexed XML Documents. In: VLDB 2002, pp. 263–274 (2002)

    Google Scholar 

  3. Jiang, H., Lu, H., Wang, W., Ooi, B.C.: XR-Tree: Indexing XML Data for Efficient Structural Joins. In: ICDE 2003, pp. 253–264 (2003)

    Google Scholar 

  4. Li, Q., Moon, B.: Indexing and Querying XML Data for Regular Path Expressions. In: VLDB 2001, pp. 361–370 (2001)

    Google Scholar 

  5. Srivastava, D., Al-Khalifa, S., Jagadish, H.V., Koudas, N., Patel, J.M., Wu, Y.: Structural Joins: A Primitive for Efficient XML Query Pattern Matching. In: ICDE 2002, pp.141–152 (2002)

    Google Scholar 

  6. Wu, Y., Patel, J.M., Jagadish, H.V.: Structural Join Order Selection for XML Query Optimization. In: ICDE 2003, pp. 443–454 (2003)

    Google Scholar 

  7. Zhang, C., Naughton, J.F., Dewitt, D.J., Luo, Q., Lohman, G.M.: On Supporting Containment Queries in Relational Database Management Systems. In: SIGMOD 2001, pp. 425–436 (2001)

    Google Scholar 

  8. Bruno, N., Srivastava, D., Koudas, N.: Holistic Twig Joins: Optimal XML Pattern Matching. In: SIGMOD 2002, pp. 310–321 (2002)

    Google Scholar 

  9. Jiang, H., Lu, H., Wang, W.: Efficient Processing of XML Twig Queries with OR-Predicates. In: SIGMOD 2004, pp. 59–70 (2004)

    Google Scholar 

  10. Lu, J., Chen, T., Ling, T.W.: Efficient Processing of XML Twig Patterns with Parent Child Edges: A Look-ahead Approach. In: CIKM, 533–542 (2004)

    Google Scholar 

  11. Wong, H.K.T., Li, J.Z., Olken, F., Rotem, D., Wong, L.: Bit Transposition for Very Large Scientific and Statistical Databases. In: VLDB, pp. 3040–311 (1986)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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He, Z., Li, J., Wang, C., Ge, P., Chen, H. (2005). Using XML Structure to Reduce Candidate Nodes Participated in Query Processing. In: Fan, W., Wu, Z., Yang, J. (eds) Advances in Web-Age Information Management. WAIM 2005. Lecture Notes in Computer Science, vol 3739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563952_5

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  • DOI: https://doi.org/10.1007/11563952_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29227-2

  • Online ISBN: 978-3-540-32087-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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