WW1LOD: an application of CIDOC-CRM to World War 1 linked data

  • Eetu Mäkelä
  • Juha Törnroos
  • Thea Lindquist
  • Eero Hyvönen
Article

DOI: 10.1007/s00799-016-0186-2

Cite this article as:
Mäkelä, E., Törnroos, J., Lindquist, T. et al. Int J Digit Libr (2016). doi:10.1007/s00799-016-0186-2

Abstract

The CIDOC-CRM standard indicates that common events, actors, places and timeframes are important in linking together cultural material, and provides a framework for describing them. However, merely describing entities in this way in two datasets does not yet interlink them. To do that, the identities of instances still need to be either reconciled, or be based on a shared vocabulary. The WW1LOD dataset presented in this paper was created to facilitate both of these approaches for collections dealing with the First World War. For this purpose, the dataset includes events, places, agents, times, keywords, and themes related to the war, based on over ten different authoritative data sources from providers such as the Imperial War Museum. The content is harmonized into RDF, and published as a Linked Open Data service. While generally based on CIDOC-CRM, some modeling choices used also deviate from it where our experience dictated such. In the article, these deviations are discussed in the hope that they may serve as examples where CIDOC-CRM itself may warrant further examination. As a demonstration of use, the dataset and online service have been used to create a contextual reader application that is able to link together and pull in information related to WW1 from, e.g., 1914–1918 Online, Wikipedia, WW1 Discovery, Europeana and the Digital Public Library of America.

Keywords

Applying CIDOC-CRM Linked data Modeling Historical data Dataset Data interlinking 

Funding information

Funder NameGrant NumberFunding Note
Finnish-American Exchange Commission
    University of Colorado Boulder (US)
      Tekes
        Finnish Ministry for Education
          Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta (FI)
          • 286898
          Aalto Science Institute

            Copyright information

            © Springer-Verlag Berlin Heidelberg 2016

            Authors and Affiliations

            1. 1.Aalto UniversityHelsinkiFinland
            2. 2.University of Colorado BoulderBoulderUSA

            Personalised recommendations