Semantic Web Techniques for Multiple Views on Heterogeneous Collections: A Case Study

نویسندگان

  • Marjolein van Gendt
  • Antoine Isaac
  • Lourens van der Meij
  • Stefan Schlobach
چکیده

Integrated digital access to multiple collections is a prominent issue for many Cultural Heritage institutions. The metadata describing diverse collections must be interoperable, which requires aligning the controlled vocabularies that are used to annotate objects from these collections. In this paper, we present an experiment where we match the vocabularies of two collections by applying the Knowledge Representation techniques established in recent Semantic Web research. We discuss the steps that are required for such matching, namely formalising the initial resources using Semantic Web languages, and running ontology mapping tools on the resulting representations. In addition, we present a prototype that enables the user to browse the two collections using the obtained alignment while still providing her with the original vocabulary structures. This paper is an abbreviated version of a paper accepted at the 10th European Conference on Digital Libraries, ECDL 2006.

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تاریخ انتشار 2006