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An Agricultural Data Platform iStar Model
2020
CEUR Workshop Proceedings
Organizations increasingly rely on external data and service exchange within business networks in order to fuel their analytics and artificial intelligence needs. In Industry 4.0 practices, new ecosystems have evolved, where data and service provisioning often happens within dedicated platforms. Hereby, the challenge lies in ensuring the data sovereignty of enterprises in terms of self-determination with regard to the use of their data. While conceptual modeling of these platforms inhabits a
doi:10.18154/rwth-2021-01070
fatcat:6usvtld4wrchpkt3zrgg6bqema