Knowledge representation and reasoning for cyber-physical systems
The Knowledge-based Systems Engineering (KBSE) competence field conducts research on knowledge-based engineering concepts that involve the semantic description and integration of relevant data and knowledge about a product or service, the associated creation process, and the hardware or software resources used in the process. Ontology-based semantic description languages are used to capture and combine these specific domains, as well as common-sense knowledge and knowledge about the application domain, to ultimately create a deeper understanding of their interrelationships. Based on the rich semantic context information, many engineering tasks along the value chain can be automated. In addition, it paves the way for new services, which are only made possible by the semantic linking and interpretation of the different and often heterogeneous data sources.
KBSE conducts applied research on knowledge representation and interpretation for cyber-physical systems (CPS). The goal is to increase the degree of flexibility and autonomy in the design, development, and operation phases of CPS, based on the integrated interpretation of introduced semantic models. To enable automated reconfiguration of CPS, we research semantic interoperability (compatibility) methods. This includes the automated reconfiguration of software and hardware components via semantic resource models as well as the matching of semantically modeled capabilities with formal requirements derived from process descriptions and the associated product or service model.