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TopX @ INEX 2007

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4862))

Abstract

This paper describes the setup and results of the Max- Planck-Institut für Informatik’s contributions for the INEX 2007 AdHoc Track task. The runs were produced with TopX, a search engine for ranked retrieval of XML data that supports a probabilistic scoring model for full-text content conditions and tag-term combinations, path conditions as exact or relaxable constraints, and ontology-based relaxation of terms and tag names.

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References

  1. Bast, H., Majumdar, D., Theobald, M., Schenkel, R., Weikum, G.: IO-Top-k: Index-optimized top-k query processing. In: Proceedings of the 32nd International Conference on Very Large Data Bases (VLDB 2006), pp. 475–486 (2006)

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  2. Theobald, M., Bast, H., Majumdar, D., Schenkel, R., Weikum, G.: Topx: efficient and versatile top-k query processing for semistructured data. VLDB J. (accepted for publication 2008)

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  3. Theobald, M., Broschart, A., Schenkel, R., Solomon, S., Weikum, G.: Topx – adhoc track and feedback task. In: Proceedings of the 5th International Workshop of the Initiative for the Evaluation of XML Retrieval (INEX 2006), pp. 233–242 (2006)

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Norbert Fuhr Jaap Kamps Mounia Lalmas Andrew Trotman

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© 2008 Springer-Verlag Berlin Heidelberg

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Broschart, A., Schenkel, R., Theobald, M., Weikum, G. (2008). TopX @ INEX 2007. In: Fuhr, N., Kamps, J., Lalmas, M., Trotman, A. (eds) Focused Access to XML Documents. INEX 2007. Lecture Notes in Computer Science, vol 4862. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85902-4_4

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  • DOI: https://doi.org/10.1007/978-3-540-85902-4_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85901-7

  • Online ISBN: 978-3-540-85902-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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