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Classifying Image Galleries into a Taxonomy Using Metadata and Wikipedia

  • Gerwin Kramer
  • Gosse Bouma
  • Dennis Hendriksen
  • Mathijs Homminga
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7337)

Abstract

This paper presents a method for the hierarchical classification of image galleries into a taxonomy. The proposed method links textual gallery metadata to Wikipedia pages and categories. Entity extraction from metadata, entity ranking, and selection of categories is based on Wikipedia and does not require labeled training data. The resulting system performs well above a random baseline, and achieves a (micro-averaged) F-score of 0.59 on the 9 top categories of the taxonomy and 0.40 when using all 57 categories.

Keywords

gallery image gallery classification hierarchical classification taxonomy Wikipedia 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Gerwin Kramer
    • 1
  • Gosse Bouma
    • 1
  • Dennis Hendriksen
    • 2
  • Mathijs Homminga
    • 2
  1. 1.Information ScienceUniversity of GroningenThe Netherlands
  2. 2.KaloogaGroningenThe Netherlands

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