Towards a collaborative approach for Digital Twin simulation models comprehension

Digital twins (DTs) are highly accurate virtual replicas of physical objects that enhance functionality through simulation, prediction, and analysis capabilities. Constructing DT can be considered a collaborative process between experts who need to integrate different simulation models to create cohesive services. However, challenges arise in comprehending the functionalities of these models, understanding how to use and reuse them, and effectively transferring knowledge for collaborative purposes. This paper lays the foundation for a collaborative model-based approach to addressing these challenges and enhancing comprehension of simulation models and knowledge sharing. This is achieved through a metamodel that represents the knowledge base and a detailed procedure designed to enhance model knowledge assimilation and sharing within a collaborative process.