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Evaluation of Semantic Web Ontologies for Modelling Art Collections

  • Danfeng Liu
  • Antonis BikakisEmail author
  • Andreas Vlachidis
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 767)

Abstract

The need for organising, sharing and digitally processing Cultural Heritage (CH) information has led to the development of formal knowledge representation models (ontologies) for the CH domain. Based on RDF and OWL, the standard data model and ontology language of the Semantic Web, ontologies such as CIDOC-CRM, the Europeana Data Model and VRA, offer enhanced representation capabilities, but also support for inference, querying and interlinking through the Web. This paper presents the results of a small-scale evaluation of the three most commonly used CH ontologies, with respect to their capacity to fulfil the data modelling requirements of art collections.

Notes

Acknowledgements

This work was partially supported by CrossCult: “Empowering reuse of digital cultural heritage in context-aware crosscuts of European history”, funded by the European Union’s Horizon 2020 research and innovation program, Grant #693150.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Danfeng Liu
    • 1
  • Antonis Bikakis
    • 1
    Email author
  • Andreas Vlachidis
    • 1
  1. 1.Department of Information StudiesUniversity College LondonLondonUK

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