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ArHeX: An Approximate Retrieval System for Highly Heterogeneous XML Document Collections

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Advances in Database Technology - EDBT 2006 (EDBT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3896))

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Abstract

Handling the heterogeneity of structure and/or content of XML documents for the retrieval of information is a fertile field of research nowadays. Many efforts are currently devoted to identifying approximate answers to queries that require relaxation on conditions both on the structure and the content of XML documents [1,2,4,5]. Results are ranked relying on score functions that measure their quality and relevance and only the top-k returned.

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References

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  7. Sanz, I., Mesiti, M., Guerrini, G., Berlanga Llavori, R.: Approximate Retrieval of Highly Heterogeneous XML Documents. Tech. report. University of Milano (2005)

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Author information

Authors and Affiliations

  1. Universitat Jaume I, Castellón, Spain

    Ismael Sanz & Rafael Berlanga Llavori

  2. Università di Milano, Italy

    Marco Mesiti

  3. Università di Genova, Italy

    Giovanna Guerrini

Authors
  1. Ismael Sanz
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  2. Marco Mesiti
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  3. Giovanna Guerrini
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  4. Rafael Berlanga Llavori
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Editor information

Editors and Affiliations

  1. University of Athens, Greece

    Yannis Ioannidis

  2. University of Konstanz, P.O.Box D188, 78457, Konstanz, Germany

    Marc H. Scholl

  3. Sustainable Content Logistics Centre, Hamburg, Germany

    Joachim W. Schmidt

  4. Chair of Software Engineering for Business Information Systems, Technische Universität München, Boltzmannstraße 3, 85748, Garching b. München,  

    Florian Matthes

  5. Department of Informatics, University of Athens Panepistimiopolis, 15771, Athens, Greece

    Mike Hatzopoulos

  6. IPD, Universität Karlsruhe, Am Fasanengarten 5, 76131, Karlsruhe,  

    Klemens Boehm

  7. TU München, D-85748, Garching, Germany

    Alfons Kemper

  8. Technische Universität München, Germany

    Torsten Grust

  9. Institute for Computer Science, Ludwig-Maximilians Universität München,  

    Christian Boehm

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© 2006 Springer-Verlag Berlin Heidelberg

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Sanz, I., Mesiti, M., Guerrini, G., Llavori, R.B. (2006). ArHeX: An Approximate Retrieval System for Highly Heterogeneous XML Document Collections. In: Ioannidis, Y., et al. Advances in Database Technology - EDBT 2006. EDBT 2006. Lecture Notes in Computer Science, vol 3896. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11687238_88

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  • DOI: https://doi.org/10.1007/11687238_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32960-2

  • Online ISBN: 978-3-540-32961-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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