ELFIE - The OGC Environmental Linked Features Interoperability Experiment - Environmental Software Systems. Data Science in Action Access content directly
Conference Papers Year : 2020

ELFIE - The OGC Environmental Linked Features Interoperability Experiment

Abstract

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 schema.org 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.
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hal-03361887 , version 1 (01-10-2021)

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Kathi Schleidt, Michael O’grady, Sylvain Grellet, Abdelfettah Feliachi, Hylke van Der Schaaf. ELFIE - The OGC Environmental Linked Features Interoperability Experiment. 13th International Symposium on Environmental Software Systems (ISESS), Feb 2020, Wageningen, Netherlands. pp.188-193, ⟨10.1007/978-3-030-39815-6_18⟩. ⟨hal-03361887⟩
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