  The creation of a Digital Twin for existing manufacturing systems, so-called
brownfield systems, is a challenging task due to the needed expert knowledge
about the structure of brownfield systems and the effort to realize the digital
models. Several approaches and methods have already been proposed that at least
partially digitalize the information about a brownfield manufacturing system. A
Digital Twin requires linked information from multiple sources. This paper
presents a graph-based approach to merge information from heterogeneous
sources. Furthermore, the approach provides a way to automatically identify
templates using graph structure analysis to facilitate further work with the
resulting Digital Twin and its further enhancement.
