Seamless integration of cyber-physical systems in knowledge graphs
| Autor: | Steffen Lohmann, Sören Auer, Irlán Grangel-González, Andreas W. Müller, Lavdim Halilaj, Maria-Esther Vidal |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
030103 biophysics Computer science business.industry 020208 electrical & electronic engineering Cyber-physical system 02 engineering and technology Set (abstract data type) 03 medical and health sciences Knowledge graph TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS 0202 electrical engineering electronic engineering information engineering Representation (mathematics) Software engineering business Smart manufacturing |
| Zdroj: | SAC |
| DOI: | 10.1145/3167132.3167435 |
| Popis: | 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. The results suggest that SemCPS enables not only the seamless integration of CPS components, but also allows for preserving individual characteristics of these components. |
| Databáze: | OpenAIRE |
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