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A conceptual data model and its automatic implementation for IoT-based business intelligence applications

Abstract : In the context of Industry 4.0, the analysis of Internet-of-Things (IoT) data with business intelligence (BI) technologies has acquired high relevance. However, designing and implementing IoT-based BI applications is hard for several reasons. Therefore, we propose a novel conceptual data model based on UML profiles and model-driven architecture (MDA) for modeling and implementing IoT-based BI applications. Our approach provides highly readable data models of IoT, which are also compatible with traditional BI data models. Furthermore, it could help in the implementation process of the IoT subsystem through automatic code generation.
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https://hal.inrae.fr/hal-03203585
Contributor : Kareen Louembe <>
Submitted on : Tuesday, April 20, 2021 - 8:50:06 PM
Last modification on : Wednesday, April 21, 2021 - 3:35:33 AM

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Julian Eduardo Plazas, Sandro Bimonte, Christophe de Vaulx, Michel Schneider, Quang-Duy Nguyen, et al.. A conceptual data model and its automatic implementation for IoT-based business intelligence applications. IEEE internet of things journal, IEEE, 2020, 7 (10), pp.10719-10732. ⟨10.1109/JIOT.2020.3016608⟩. ⟨hal-03203585⟩

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