The goal of this subproject is to develop efficient methods to semantically store and query knowledge about unique products in digital twins in a way that achieves interoperability between different data sources and requesters. The main focus in this project phase is on dealing with different types of uncertainty: measurements with uncertainties, uncertain knowledge about products and about object instances, as well as the exploitation of structural and measurement similarities and analogies.

Principal Investigators