Hierarchical Structuring of Cultural Heritage Objects within Large Aggregations

  • Shenghui Wang
  • Antoine Isaac
  • Valentine Charles
  • Rob Koopman
  • Anthi Agoropoulou
  • Titia van der Werf
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8092)

Abstract

Huge amounts of cultural content have been digitised and are available through digital libraries and aggregators like Europeana.eu. However, it is not easy for a user to have an overall picture of what is available nor to find related objects. We propose a method for hierarchically structuring cultural objects at different similarity levels. We describe a fast, scalable clustering algorithm with an automated field selection method for finding semantic clusters. We report a qualitative evaluation on the cluster categories based on records from the UK and a quantitative one on the results from the complete Europeana dataset.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Shenghui Wang
    • 1
  • Antoine Isaac
    • 2
  • Valentine Charles
    • 2
  • Rob Koopman
    • 1
  • Anthi Agoropoulou
    • 2
  • Titia van der Werf
    • 1
  1. 1.OCLC ResearchLeidenThe Netherlands
  2. 2.Europeana FoundationThe HagueThe Netherlands

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