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TIJAH Scratches INEX 2005: Vague Element Selection, Image Search, Overlap, and Relevance Feedback

  • Vojkan Mihajlović
  • Georgina Ramírez
  • Thijs Westerveld
  • Djoerd Hiemstra
  • Henk Ernst Blok
  • Arjen P. de Vries
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3977)

Abstract

Retrieving information from heterogeneous data sources in a flexible manner and within a single (database) framework is still a challenge. In this paper we present several extensions of our prototype database system TIJAH developed for structured retrieval. The extensions are aimed at modeling vague selection of XML elements and image retrieval. All three levels (conceptual, logical, and physical) of the TIJAH system are enhanced to support the extensions. Additionally, we analyze different ways of removing overlap and explain how structural information can be used for relevance feedback.

Keywords

Relevance Feedback Retrieval Model Mean Average Precision Relevant Element Result List 
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 2006

Authors and Affiliations

  • Vojkan Mihajlović
    • 1
  • Georgina Ramírez
    • 2
  • Thijs Westerveld
    • 2
  • Djoerd Hiemstra
    • 1
  • Henk Ernst Blok
    • 1
  • Arjen P. de Vries
    • 2
  1. 1.University of TwenteEnschedeThe Netherlands
  2. 2.Centre for Mathematics and Computer ScienceAmsterdamThe Netherlands

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