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Virtual Process Dossier: A Process-Aware Data Catalogue

Published on Jul 30cs.AI

Authors

Do you know Lukas Kubelka?You can claim authorship or link another user.Do you know Alexander Bott?You can claim authorship or link another user.Do you know Frank Döhner?You can claim authorship or link another user.Do you know Saksham Kiroriwal?You can claim authorship or link another user.Do you know Georg Zeeb?You can claim authorship or link another user.Do you know Julia Butte?You can claim authorship or link another user.Do you know Julius Pfrommer?You can claim authorship or link another user.Do you know Jürgen Beyerer?You can claim authorship or link another user.Do you know Tobias Käfer?You can claim authorship or link another user.

Abstract

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 .

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