TopX @ INEX 2007

  • Andreas Broschart
  • Ralf Schenkel
  • Martin Theobald
  • Gerhard Weikum
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 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)Google Scholar
  2. 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)Google Scholar
  3. 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)Google Scholar
  4. 4.
    Theobald, M., Schenkel, R., Weikum, G.: Efficient and self-tuning incremental query expansion for top-k query processing. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 242–249 (2005)Google Scholar
  5. 5.
    Theobald, M., Schenkel, R., Weikum, G.: An efficient and versatile query engine for TopX search. In: Proceedings of the 31st International Conference on Very Large Data Bases (VLDB 2005), pp. 625–636 (2005)Google Scholar
  6. 6.
    Theobald, M., Weikum, G., Schenkel, R.: Top-k query evaluation with probabilistic guarantees. In: Proceedings of the 30th International Conference on Very Large Data Bases (VLDB 2004), pp. 648–659 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Andreas Broschart
    • 1
  • Ralf Schenkel
    • 1
  • Martin Theobald
    • 2
  • Gerhard Weikum
    • 1
  1. 1.Max-Planck-Institut für InformatikSaarbrückenGermany
  2. 2.Stanford University 

Personalised recommendations