# Virtual Process Dossier: A Process-Aware Data Catalogue

arXiv: https://arxiv.org/abs/2607.27840 · HTML: https://mlsanity.com/paper/2607.27840/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 32 references that are in the map.
- First posted on arXiv 30 Jul 2026.

## Builds on (most cited first, 2 of 2)

- [Specifying, Monitoring, and Executing Workflows in Linked Data Environments](https://mlsanity.com/paper/1804.05044/) (2018)
- [Procedural Knowledge Ontology (PKO)](https://mlsanity.com/paper/2503.20634/) (2025)

## Abstract (arXiv)

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 .