Using Wikipedia Categories and Links in Entity Ranking

  • Anne-Marie Vercoustre
  • Jovan Pehcevski
  • James A. Thom
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4862)


This paper describes the participation of the INRIA group in the INEX 2007 XML entity ranking and ad hoc tracks. We developed a system for ranking Wikipedia entities in answer to a query. Our approach utilises the known categories, the link structure of Wikipedia, as well as the link co-occurrences with the examples (when provided) to improve the effectiveness of entity ranking. Our experiments on both the training and the testing data sets demonstrate that the use of categories and the link structure of Wikipedia can significantly improve entity retrieval effectiveness. We also use our system for the ad hoc tasks by inferring target categories from the title of the query. The results were worse than when using a full-text search engine, which confirms our hypothesis that ad hoc retrieval and entity retrieval are two different tasks.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Anne-Marie Vercoustre
    • 1
  • Jovan Pehcevski
    • 1
  • James A. Thom
    • 2
  1. 1.INRIA RocquencourtFrance
  2. 2.RMIT UniversityMelbourneAustralia

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