Virtual Process Dossier: A Process-Aware Data Catalogue
Authors: Lukas Kubelka, Alexander Bott, Frank Döhner, Saksham Kiroriwal, Georg Zeeb, Julia Butte, Julius Pfrommer, Jürgen Beyerer, +1 more
Organizations: Institute of Applied Informatics and Formal Description Methods, Karlsruhe Institute of Technology, Karlsruhe, Germany · Institute of Production Sciences, Karlsruhe Institute of Technology, Karlsruhe, Germany · Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany · Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany · Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany · Fraunhofer Institute for Chemical Technology, Pfinztal, Germany · Institute of Information Security and Dependability, Karlsruhe Institute of Technology, Karlsruhe, Germany
We propose the Virtual Process Dossier (VPD), a Knowledge Graph-based data catalogue that also captures workflow provenance. We developed VPD for multi-stage manufacturing use-cases where downstream AI-based optimization tasks require to distinct between datasets generated during individual workflow steps. VPD provides these datasets in a FAIR manner and makes both prospective and retrospective workflow provenance explicit. Our contributions are: (1) the VPD ontology that serves as the catalogue's semantic core; (2) the VPD provenance framework that integrates ontology instantiation into the production environment; and (3) the VPD user interface that provides human-centered interaction with the VPD Knowledge Graph. The ontology and code are available at https://github.com/kubeluk/VirtualProcessDossier .