Knowledge-based Systems Engineering

Knowledge-based Systems Engineering

Knowledge representation and reasoning for cyber-physical systems

Knowledge-based Systems Engineering

Digital transformation is one of the key challenges in many industries and business areas when it comes to streamlining and automating internal processes. Core objectives include establishing comprehensive data access for technical systems, sharing data, and increasing the effectiveness and efficiency of data processing and related superordinate tasks. Digitization approaches, such as scanning text documents into image or PDF files or connecting data from different sources via spreadsheets, are far from sufficient. Although they are digital representations of data, they do not provide access to the meaning encoded in the data - the semantics.

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.

 Alexander Perzylo

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Alexander Perzylo

+49 89 3603522 531
perzylo@fortiss.org

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