Flexible data architecture for enabling AI applications in production environments

We present a flexible data architecture that combines RDF knowledge graphs for semantic descriptions with tailored data formats and APIs for time series data to create digital representations of production systems with related products, processes, and machines. We show that this data architecture can provide a base for different machine learning and analytics use cases while also allowing the integration of existing standards like OPC UA.