Unified access to heterogeneous data in cultural heritage

  • Authors:
  • Marijn Koolen;Avi Arampatzis;Jaap Kamps;Vincent de Keijzer;Nir Nussbaum

  • Affiliations:
  • University of Amsterdam, The Netherlands;University of Amsterdam, The Netherlands;University of Amsterdam, The Netherlands;Haags Gemeentemuseum, The Hague, The Netherlands;ISLA, University of Amsterdam, The Netherlands

  • Venue:
  • Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
  • Year:
  • 2007

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Abstract

This paper addresses the prototypical problem of a cultural heritage institution with the ambition to disclose all of its content in a single, unified system. Like other enterprises, these institutions have heterogeneous collections distributed over multiple legacy systems. Our approach is to turn the metadata retrieval problem into a free-text retrieval problem by an unconditional merging of the heterogeneous sub-collections and flattening of all metadata structures. We investigate the viability of the approach by an extensive case study of a large museum. Our main findings are as follows: First, by converting all digital content to text, and indexing it with a standard IR system, we can effectively build a unified system providing access to all data. Second, an initial empirical evaluation shows superior performance in comparison with the legacy systems currently in use by the institute. Therefore, our third and overall finding is that our approach is a viable option to give access to heterogeneous collections.