A Semantic-checking based Model-driven Approach to Serve Multi-organization Collaboration

Tiexin Wang 1 Aurelie Montarnal 2 Sébastien Truptil 2 Frederick Benaben 2 Matthieu Lauras 2 Jacques Lamothe 2
1 NUAA - Nanjing University of Aeronautics and Astronautics [Nanjing]
2 CGI - Centre Génie Industriel
Abstract : Multi-organization collaboration, which allows partners focus on their core business, is becoming a trend. Besides the interoperability of each partner, the mechanism of selecting qualified and suitable partners is another key issue to guarantee the success of collaboration. Based on our previous work, this paper aims to provide a model-driven approach to solve the partners selecting problem in building collaboration. In this approach, a meta-model is defined to describe the context of collaboration. All the potential partners’ inputs shall be conformed to this meta-model. In order to select the required partners automatically, semantic checks are combined.
Keywords : Semantic checks Partners selecting Multi-organization collaboration Model-driven approach
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Conference papers
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Tiexin Wang, Aurelie Montarnal, Sébastien Truptil, Frederick Benaben, Matthieu Lauras, et al.. A Semantic-checking based Model-driven Approach to Serve Multi-organization Collaboration. KES 2018 - International Conference on Knowledge Based and Intelligent Information and Engineering Systems, Sep 2018, Belgrade, Serbia. pp.136-145, ⟨10.1016/j.procs.2018.07.217⟩. ⟨hal-01945120⟩

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