Abstract
The rise of the Semantic Web has provided cultural heritage researchers and practitioners with several tools for providing semantically rich representations and interoperability of cultural heritage collections. Although indeed offering a lot of advantages, these tools, which come mostly in the form of ontologies and related vocabularies, do not provide a conceptual model for capturing contextual and environmental dependencies, contributing to long-term digital preservation. This paper presents one of the key outcomes of the PERICLES FP7 project, the Linked Resource Model, for modelling dependencies as a set of evolving linked resources. The adoption of the proposed model and the consistency of its representation are evaluated via a specific instantiation involving the domain of digital video art.
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This definition is close to CIDOC CRM’s Entity; we are currently exploring possible mappings.
Since only the artefacts’ creators know the intentions behind an artwork, there is a valid concern that they may not share them. Nevertheless, a typical step during the acquisition phase of an artefact by a gallery is that the latter keeps records of the interviews with the artists during acquisition. This information could be inserted by the gallery itself into the model.
Example adapted from National Archives of Australia (2011), pp. 52–53.
Classes Activity and Agent relate to provenance information. We explored potential mappings between LRM and PROV (www.w3.org/TR/prov-o), a widely used ontology for representing provenance information, but some PROV constraints are structurally incompatible with the LRM, i.e. an Activity cannot be an Entity.
Also available at http://ontologydesignpatterns.org/wiki/Submissions:DigitalVideo
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Acknowledgments
This work was supported by the European Commission Seventh Framework Programme under Grant Agreement Number FP7-601138 PERICLES.
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Lagos, N., Riga, M., Mitzias, P. et al. Dependency modelling for inconsistency management in Digital Preservation – The PERICLES approach. Inf Syst Front 20, 7–19 (2018). https://doi.org/10.1007/s10796-016-9709-z
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DOI: https://doi.org/10.1007/s10796-016-9709-z