Hu, XiaoduArista, RebecaLentes, JoachimLu, JinzhiZheng, XiaochenSorvari, JyriUbis, FernandoKiritsis, Dimitris2022-12-052022-12-052022-12-052022-10-0110.1016/j.ifacol.2022.10.191https://infoscience.epfl.ch/handle/20.500.14299/192993WOS:000881681700454The development of an aircraft industrial system faces the challenge of integrative requirements validation with de-correlated modelling languages and distributed proprietary formats. This paper specifies an ontology-centric industrial requirements validation based on a cognitive digital twin approach, aiming at addressing the potentials of utilizing MBSE ontology integration for different models and leveraging a top level ontology BFO as a semantic core to integrate cross-disciplinary requirement validation, heterogonous models and simulations towards an optimized digital consistency, interoperability and reusability, with an example of such requirements validation presented. Copyright (C) 2022 The Authors.Automation & Control Systemsontology based systemontology integrationindustrial requirements validationmbsemodelstext::conference output::conference proceedings::conference paper