ELFIE - The OGC Environmental Linked Features Interoperability Experiment

  • Kathi SchleidtEmail author
  • Michael O’Grady
  • Sylvain Grellet
  • Abdelfettah Feliachi
  • Hylke van der Schaaf
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 554)


The OGC Environmental Linked Feature Interoperability Experiment (ELFIE) sought to assess a suite of pre-existing OGC and W3C standards with a view to identifying best practice for exposing cross-domain links between environmental features and observations. Environmental domain models concerning landscape interactions with the hydrologic cycle served as the basis for this study, whilst offering a meaningful constraint on its scope. JSON-LD was selected for serialization; this combines the power of linked data with intuitive encoding. Vocabularies were utilized for the provision of the JSON-LD contexts; these ranged from common vocabularies such as to semantic representations of OGC/ISO observational standards to domain-specific feature models synonymous with the hydrological and geological domains. Exemplary data for the selected use cases was provided by participants and shared in static form via a GitHub repository. User applications were created to assess the validity of the proposed approach as it pertained to real-world situations. This process resulted in the identification of issues whose resolution is a prerequisite for wide-scale deployment and best practice definition. Addressing these issues will be the focus of future OGC Interoperability Experiments.


Open geospatial standards Linked data Environmental features 



Interoperability Experiments are by their nature group efforts. Thus many thanks to all participants within the ELFIE:

David Blodgett, Byron Cochrane, Ingo Simonis, Rob Atkinson, Sylvain Grellet, Abdelfettah Feliachi, Alistair Ritchie, Eric Boisvert, Marcus Sen, Mickaël Beaufils, James Passmore, Boyan Brodaric, Katharina Schleidt, Chuck Heazel, Steve Richard.


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Copyright information

© IFIP International Federation for Information Processing 2020

Authors and Affiliations

  • Kathi Schleidt
    • 1
    Email author
  • Michael O’Grady
    • 2
  • Sylvain Grellet
    • 3
  • Abdelfettah Feliachi
    • 3
  • Hylke van der Schaaf
    • 4
  1. 1.DataCove e.U.ViennaAustria
  2. 2.UCD DublinBelfield Dublin 4Ireland
  3. 3.BRGMOrleans Cedex 2France
  4. 4.Fraunhofer IOSBKarlsruheGermany

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