Dependency modelling for inconsistency management in Digital Preservation – The PERICLES approach

Nikolaos Lagos (), Marina Riga (), Panagiotis Mitzias (), Jean-Yves Vion-Dury (), Efstratios Kontopoulos (), Simon Waddington (), Pip Laurenson (), Georgios Meditskos () and Ioannis Kompatsiaris ()
Additional contact information
Nikolaos Lagos: Xerox Research Centre Europe (XRCE)
Marina Riga: Information Technologies Institute, CERTH
Panagiotis Mitzias: Information Technologies Institute, CERTH
Jean-Yves Vion-Dury: Xerox Research Centre Europe (XRCE)
Efstratios Kontopoulos: Information Technologies Institute, CERTH
Simon Waddington: King’s College London
Pip Laurenson: Tate
Georgios Meditskos: Information Technologies Institute, CERTH
Ioannis Kompatsiaris: Information Technologies Institute, CERTH

Information Systems Frontiers, 2018, vol. 20, issue 1, No 2, 7-19

Abstract: 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.

Keywords: Digital preservation; LRM; Ontology; Digital video art; Dependency; Inconsistency detection; SPIN rules (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10796-016-9709-z

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