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    A Core Ontology to Support Agricultural Data Interoperability

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    Author
    ElKafrawy, Passent cc
    Abdelmageed, Aly
    Hatem, Shahenda
    ael, Tasneem
    Medhat, Walaa
    König-Ries, Birgitta
    Ellakwa, Susan F.
    Algergawy, Alsayed
    Subject
    Semantic Web Ontology Knowledge Modeling Agriculture
    Date
    2023
    
    Metadata
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    Abstract
    The amount and variety of raw data generated in the agriculture sector from numeroussources, including soil sensors and local weather stations, are proliferating. However, these raw data in themselves are meaningless and isolated and, therefore, may offer little value to the farmer. Data usefulness is determined by its context and meaning and by how it is interoperable with data from other sources. Semantic web technology can provide context and meaning to data and its aggregation by providing standard data interchange formats and description languages. In this paper, we introduce the design and overall description of a core ontology that facilitates the process of data interoperability in the agricultural domain.
    Department
    Computer Science
    Publisher
    Gesellschaft für Informatik eV
    Sponsor
    DAAD, STDF
    DOI
    DOI: 10.18420/BTW2023-58
    ae974a485f413a2113503eed53cd6c53
    DOI: 10.18420/BTW2023-58
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