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    SEONT: Agricultural Household Survey Ontology

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    Authors
    CGIAR Platform for Big Data in Agriculture
    Date Issued
    2020-12
    Language
    en
    Type
    Report
    Accessibility
    Open Access
    Usage rights
    Other
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    Citation
    CGIAR Platform for Big Data in Agriculture. 2020. SEONT: Agricultural Household Survey Ontology. Reported in Platform for Big Data in Agriculture Annual Report 2020. Innovations.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/122934
    Abstract/Description
    A first module of the SEONT ontology was developed based on the extraction of concepts and variables from the '100 core questions' and from reference existing ontologies. A study case was performed with IRRI survey data about rice variety adoption to test SEONT content and validate ML concept extraction algorithm
    Other CGIAR Affiliations
    Big Data
    AGROVOC Keywords
    rice; development; rural development; data; adoption; systems; agrifood systems; extraction; ontologies; variety
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    • CGIAR Research Programs - Innovations [1642]

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