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ELFIE - The OGC Environmental Linked Features Interoperability Experiment

: Schleidt, K.; O'Grady, M.; Grellet, S.; Feliachi, A.; Schaaf, Hylke van der


Athanasiadis, I.N. ; International Federation for Information Processing -IFIP-, Working Group 5.11 Computers and Environment:
Environmental Software Systems. Data Science in Action : 13th IFIP WG 5.11 International Symposium, ISESS 2020, Wageningen, The Netherlands, February 5–7, 2020, Proceedings
Cham: Springer, 2020 (IFIP advances in information and communication technology 554)
ISBN: 978-3-030-39814-9
ISBN: 978-3-030-39815-6
ISBN: 978-3-030-39816-3
ISBN: 978-3-030-39817-0
International Symposium on Environmental Software Systems (ISESS) <13, 2020, Wageningen>
Conference Paper
Fraunhofer IOSB ()

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.