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)


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.


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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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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