Data Infrastructure for the Circular Factory
The goal of subproject INF is to implement a research data and knowledge management system. The ontology-based setup can be divided into the knowledge base management system (MS) for storing the models, the runtime MS for communication and the production logic MS for control. The (research) data infrastructure is built. The core and sub-ontologies of the circular factory are modeled with the knowledge modeling WG. The knowledge graph is implemented and the subprojects are trained in its use. It aims at the development of the runtime MS. In addition, solutions for control tasks such as order sequencing will be connected.
Principal Investigators
Prof. Staab is proven in the areas of machine learning, querying & reasoning, ontology (computer science) and ontologies in software modeling and at the same time brings his expertise in research data management.
Dr.-Ing. Selzer is an expert in the infrastructure and experience from the development of the research data infrastructure Kadi4Mat regarding software for handling different types of research data.
Prof. Lanza is a proven expert in the area of data-driven planning and control of production as well as in production technology research data management and the use of ontologies in production technology.