TopX 2.0 at the INEX 2009 ad-hoc and efficiency tracks: distributed indexing for top-k-style content-and-structure retrieval

  • Authors:

  • Martin Theobald;Ablimit Aji;Ralf Schenkel

  • Affiliations:

  • Max Planck Institute for Informatics, Saarbrücken, Germany;Emory University, Atlanta;Saarland University, Saarbrücken, Germany

  • Venue:
  • INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
  • Year:
  • 2009

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Abstract

This paper presents the results of our INEX 2009 Ad-hoc and Efficiency track experiments. While our scoring model remained almost unchanged in comparison to previous years, we focused on a complete redesign of our XML indexing component with respect to the increased need for scalability that came with the new 2009 INEX Wikipedia collection, which is about 10 times larger than the previous INEX collection. TopX now supports a CAS-specific distributed index structure, with a completely parallel execution of all indexing steps, including parsing, sampling of term statistics for our element-specific BM25 ranking model, as well as sorting and compressing the index lists into our final inverted block-index structure. Overall, TopX ranked among the top 3 systems in both the Ad-hoc and Efficiency tracks, with a maximum value of 0.61 for iP[0.01] and 0.29 for MAiP in focused retrieval mode at the Ad-hoc track. Our fastest runs achieved an average runtime of 72 ms per CO query, and 235 ms per CAS query at the Efficiency track, respectively.