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Leveraging the Storage Layer to Support XML Similarity Joins in XDBMSs

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 7503)

Abstract

XML is widely applied to describe semi-structured data commonly generated and used by modern information systems. XML database management systems (XDBMSs) are thus essential platforms in this context. Most XDBMS architectures proposed so far aim at reproducing functionalities found in relational systems. As such, these architectures inherit the same deficiency of traditional systems in dealing with less-structured data. What is badly needed is efficient support of common database operations under the similarity matching paradigm. In this paper, we present an engineering approach to incorporating similarity joins into XDBMSs, which exploits XDBMS components—the storage layer in particular—to design efficient algorithms. We experimentally confirm the accuracy, performance, and scalability of our approach.

Keywords

  • Anchor Node
  • Inverse Document Frequency
  • Path Query
  • Inverted List
  • Path Class

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Jagadish, H.V., et al.: Timber: A native xml database. VLDB J. 11(4), 274–291 (2002)

    CrossRef  MATH  Google Scholar 

  2. Mathis, C.: Storing, Indexing, and Querying XML Documents in Native XML Database Systems. PhD thesis, Technische Universität Kaiserslautern (2009)

    Google Scholar 

  3. Elmagarmid, A.K., Ipeirotis, P.G., Verykios, V.S.: Duplicate record detection: A survey. TKDE 19(1), 1–16 (2007)

    Google Scholar 

  4. Al-Khalifa, S., Yu, C., Jagadish, H.V.: Querying structured text in an xml database. In: SIGMOD, pp. 4–15 (2003)

    Google Scholar 

  5. Ribeiro, L.A., Härder, T., Pimenta, F.S.: A cluster-based approach to xml similarity joins. In: IDEAS, pp. 182–193 (2009)

    Google Scholar 

  6. Ribeiro, L.A., Härder, T.: Generalizing prefix filtering to improve set similarity joins. Information Systems 36(1), 62–78 (2011)

    CrossRef  Google Scholar 

  7. Ribeiro, L., Härder, T.: Evaluating Performance and Quality of XML-Based Similarity Joins. In: Atzeni, P., Caplinskas, A., Jaakkola, H. (eds.) ADBIS 2008. LNCS, vol. 5207, pp. 246–261. Springer, Heidelberg (2008)

    CrossRef  Google Scholar 

  8. Augsten, N., Böhlen, M.H., Gamper, J.: The pq-gram distance between ordered labeled trees. TODS 35(1) (2010)

    Google Scholar 

  9. Guha, S., Jagadish, H.V., Koudas, N., Srivastava, D., Yu, T.: Integrating xml data sources using approximate joins. TODS 31(1), 161–207 (2006)

    CrossRef  Google Scholar 

  10. Amer-Yahia, S., Koudas, N., Marian, A., Srivastava, D., Toman, D.: Structure and content scoring for xml. In: VLDB, pp. 361–372 (2005)

    Google Scholar 

  11. Chen, Y., Wang, W., Liu, Z.: Keyword-based search and exploration on databases. In: ICDE, pp. 1380–1383 (2011)

    Google Scholar 

  12. Theobald, M., et al.: Topx: efficient and versatile top- k query processing for semistructured data. VLDB J. 17(1), 81–115 (2008)

    CrossRef  Google Scholar 

  13. Zhang, N., et al.: Binary xml storage and query processing in oracle 11g. PVLDB 2(2), 1354–1365 (2009)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Andrade Ribeiro, L., Härder, T. (2012). Leveraging the Storage Layer to Support XML Similarity Joins in XDBMSs. In: Morzy, T., Härder, T., Wrembel, R. (eds) Advances in Databases and Information Systems. ADBIS 2012. Lecture Notes in Computer Science, vol 7503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33074-2_1

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  • DOI: https://doi.org/10.1007/978-3-642-33074-2_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33073-5

  • Online ISBN: 978-3-642-33074-2

  • eBook Packages: Computer ScienceComputer Science (R0)