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Overview of the INEX 2010 Link the Wiki Track

  • Andrew Trotman
  • David Alexander
  • Shlomo Geva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6932)

Abstract

The INEX 2010 Link-the-Wiki track examined link-discovery in the Te Ara collection, a previously unlinked document collection. Te Ara is structured more a digital cultural history than as a set of entities. With no links and no automatic entity identification, previous Link-the-Wiki algorithms could not be used. Assessment was also necessarily manual. In total 29 runs were submitted by 2 institutes. 70 topics were assessed, but only 52 had relevant target documents and only 45 had relevant links in the pool. This suggests that the pool was not diverse enough. The best performing run had a MAP of less than 0.1 suggesting that the algorithms tested in 2010 were not very effective.

Keywords

Document Collection Mean Average Precision Relevant Target Result List Manual Assessment 
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. 1.
    Geva, S.: GPX: Ad-Hoc Queries and Automated Link Discovery in the Wikipedia. In: Focused Access to XML Documents, pp. 404–416. Springer, Heidelberg (2007)Google Scholar
  2. 2.
    Itakura, K.Y., Clarke, C.L.: University of Waterloo at INEX2007: Adhoc and Link-the-Wiki Tracks. In: Focused Access to XML Document, pp. 417–425. Springer, Heidelberg (2007)Google Scholar
  3. 3.
    Jenkinson, D., Leung, K.-C., Trotman, A.: Wikisearching and Wikilinking. In: Advances in Focused Retrieval, pp. 374–388. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  4. 4.
    Kamps, J., Geva, S., Trotman, A.: Analysis of the INEX 2009 ad hoc track results. In: Geva, S., Kamps, J., Trotman, A. (eds.) INEX 2009. LNCS, vol. 6203, pp. 26–48. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  5. 5.
    Milne, D., Witten, I.H.: Learning to link with wikipedia. In: Proceeding of the 17th ACM Conference on Information and Knowledge Management, pp. 509–518. ACM, Napa Valley (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Andrew Trotman
    • 1
  • David Alexander
    • 1
  • Shlomo Geva
    • 2
  1. 1.Department of Computer ScienceUniversity of OtagoDunedinNew Zealand
  2. 2.Faculty of Science and TechnologyQueensland University of TechnologyBrisbaneAustralia

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