Abdelmageed, AlyHatem, Shahendaael, TasneemMedhat, WalaaKönig-Ries, BirgittaEllakwa, SusanElkafrawy, PassentAlgergawy, AlsayedKönig-Ries, BirgittaScherzinger, StefanieLehner, WolfgangVossen, Gottfried2023-02-232023-02-232023978-3-88579-725-8https://dl.gi.de/handle/20.500.12116/40366The 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.enSemantic WebOntologyKnowledge ModelingAgricultureText/Conference Paper10.18420/BTW2023-58