Seamless integration of cyber-physical systems in knowledge graphs

Cyber-Physical Systems (CPS) are engineering systems that result from the integration of both physical and computational components designed from different engineering perspectives. Standards addressing smart manufacturing, such as AutomationML, can be used to describe CPS components and to facilitate their integration. Albeit expressive, these standards allow for the representation of the same features in various ways, thus hampering a fully integrated description of CPS components. We tackle this integration problem and propose SemCPS, a framework able to combine Probabilistic Soft Logic and Knowledge Graphs to semantically describe a CPS and its components. We evaluated SemCPS on a set of testbeds of AutomationML documents describing CPS components from various perspectives. Results sug gest that SemCPS enables not only the seamless integration of CPS components but also allows for preserving individual characteristics of these components.