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


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.

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    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.

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    Example adapted from National Archives of Australia (2011), pp. 52–53.

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    Classes Activity and Agent relate to provenance information. We explored potential mappings between LRM and PROV (, 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.

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  1. Ball, A. (2012). Review of Data Management Lifecycle Models (version 1.0). REDm-MED Project Document redm1rep120110ab10. Bath: University of Bath Accessed: 17 July 2016.

  2. CCSDS - Consultative Committee for Space Data Systems. (2012). Reference Model for an Open Archival Information System (OAIS), Recommended Practice, CCSDS 650.0-M-2 (Magenta Book) Issue 2.

  3. Digital Preservation Coalition. (2008). Digital Preservation Handbook. York, UK. Accessed: 17 July 2016.

  4. Doerr, M. (2005). The CIDOC CRM, an Ontological Approach to Schema Heterogeneity. Semantic interoperability and integration. Dagstuhl Seminar Proceedings, 4391.

  5. Doerr, M., Theodoridou, M. (2011). CRMdig: A generic digital provenance model for scientific observation. TaPP’11, 3rd USENIX Workshop on the Theory and Practice of Provenance, Heraklion, Crete, Greece, June 20–21.

  6. Higgins, S. (2008). The DCC Curation lifecycle model. International Journal of Digital Curation, 3(1), 134–140 Accessed: 17 July 2016.

  7. Knublauch, H., Hendler, J. A., Idehen, K. (2011). SPIN - overview and motivation. World Wide Web Consortium, W3C Member Submission. Accessed: 17 July 2016.

  8. Lagos, N., Waddington, S., & Vion-Dury, J.-Y. (2015). On the preservation of evolving digital content - the continuum approach and relevant metadata models. In E. Garoufallou, R. J. Hartley, & P. Gaitanou (Eds.), Metadata and semantics research (Vol. 544, pp. 15–26). Cham: Springer International Publishing.

  9. Laurenson, P. (2008). Authenticity, change and loss in the conservation of time-based media. In J. Schachter and S. Brockmann (Ed.), (Im)Permanence: Cultures in/out of Time, (pp. 284). Pittsburgh. University Park, Pa.: Center for the Arts in Society Distributed by the Penn State University Press. Also printed as a Tate Paper via Tate Online

  10. Marketakis, Y., & Tzitzikas, Y. (2009). Dependency Management for Digital Preservation Using Semantic Web Technologies. International Journal on Digital Libraries, 10(4), 159–177.

  11. McKemmish, S. (2001). Placing records continuum theory and practice. Archival Science, 1(4), 333–359.

  12. Mitzias P., Riga, M., Waddington, S., Kontopoulos, E., Meditskos, G., Laurenson, P. and Kompatsiaris, I. (2015). An Ontology Design Pattern for Digital Video. In Proceedings of the 6th Workshop on Ontology and Semantic Web Patterns (WOP 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015). Vol. 1461. Bethlehem, Pensylvania.

  13. Moreau, L., Clifford, B., Freire, J., Futrelle, J., Gil, Y., Groth, P., Kwasnikowska, N., Miles, S., Missier, P., Myers, J., Plale, B., Simmhan, Y., Stephan, E., & den Bussche, V. (2011). The Open Provenance Model core specification (v1.1). Future Generation Computer Systems, 27(6), 743–756 Accessed: 17 July 2016.

  14. National Archives of Australia. (2011). Australian Government Recordkeeping Metadata Standard Version 2.0 Implementation Guidelines. Accessed: 17 July 2016.

  15. PERICLES Consortium (2015). Deliverable D2.3.2: Data survey and domain ontologies for case studies. Available at: Accessed: 17 July 2016.

  16. Rice, D. (2015). Sustaining Consistent Video Presentation. Tate Research Articles. Accessed: 17 July 2016.

  17. The Library of Congress. (2015). PREMIS - Data Dictionary for Preservation Metadata (Official Web Site). Accessed: April 2015.

  18. Tzitzikas, Y. (2007). Dependency Management for the Preservation of Digital Information. Database and Expert Systems Applications, 4653 (pp. 582–592). Springer Berlin, Heidelberg.

  19. Tzitzikas, Y., Marketakis, Y., Antoniou, G. (2010). Task-Based Dependency Management for the Preservation of Digital Objects Using Rules. Artificial Intelligence: Theories, Models and Applications, 6040 (pp. 265–274). Springer Berlin, Heidelberg.

  20. UK Data Archive. (2015). Research Data Lifecycle. Accessed: 17 July 2016.

  21. Vion-Dury, J.-Y., Lagos, N., Kontopoulos, E., Riga, M., Mitzias, P., Meditskos, G., Waddington, S., Laurenson, P., & Kompatsiaris, I. (2015). Designing for inconsistency - the dependency-based PERICLES approach. In T. Morzy, P. Valduriez, & L. Bellatreche (Eds.), New Trends in Databases and Information Systems (Vol. 539, pp. 458–467). Berlin: Springer.

  22. WGISS - Committee on Earth Observation Satellites Working Group on Information systems and Services. (2012). Data Life Cycle Models and Concepts CEOS 1.2. Accessed: 17 July 2016.

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This work was supported by the European Commission Seventh Framework Programme under Grant Agreement Number FP7-601138 PERICLES.

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Correspondence to Nikolaos Lagos.

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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).

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  • Digital preservation
  • LRM
  • Ontology
  • Digital video art
  • Dependency
  • Inconsistency detection
  • SPIN rules