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Template Based Semantic Integration: From Legacy Archaeological Datasets to Linked Data

Author

Listed:
  • Ceri Binding

    (University of South Wales, Pontypridd, UK)

  • Michael Charno

    (Archaeology Data Service, York, UK)

  • Stuart Jeffrey

    (Glasgow School of Art, Glasgow, UK)

  • Keith May

    (Historic England, Portsmouth, UK)

  • Douglas Tudhope

    (University of South Wales, Pontypridd, UK)

Abstract

The online dissemination of datasets is becoming common practice within the archaeology domain. Since the legacy database schemas involved are often created on a per-site basis, cross searching or reusing this data remains difficult. Employing an integrating ontology, such as the CIDOC CRM, is one step towards resolving these issues. However, this has tended to require computing specialists with detailed knowledge of the ontologies involved. Results are presented from a collaborative project between computer scientists and archaeologists that created lightweight tools to make it easier for non-specialists to publish Linked Data. Archaeologists used the STELLAR project tools to publish major excavation datasets as Linked Data, conforming to the CIDOC CRM ontology. The template-based Extract Transform Load method is described. Reflections on the experience of using the template-based tools are discussed, together with practical issues including the need for terminology alignment and licensing considerations.

Suggested Citation

  • Ceri Binding & Michael Charno & Stuart Jeffrey & Keith May & Douglas Tudhope, 2015. "Template Based Semantic Integration: From Legacy Archaeological Datasets to Linked Data," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 11(1), pages 1-29, January.
    • Handle: RePEc:igg:jswis0:v:11:y:2015:i:1:p:1-29
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