Explainable Knowledge-Aware Process Intelligence
Abstract The PINPOINT project rose from the need to combine process intelligence and domain knowledge, with logic-based formalisms allowing for effective interpretability and explainability. This project report summarises the main contributions made by the research units during the three-year period, and the next steps.
Authors
- Claudio Di Ciccio (ORCID: https://orcid.org/0000-0001-5570-0475)
- Francesco Ricca (ORCID: https://orcid.org/0000-0001-8218-3178)
- Marco Montali (ORCID: https://orcid.org/0000-0002-8021-3430)
- Luigi Pontieri (ORCID: https://orcid.org/0000-0003-4513-0362)
- Rafael Peñaloza (ORCID: https://orcid.org/0000-0002-2693-5790)
- Eva Piccirilli
Institutions
- Free University of Bozen-Bolzano (IT)
- Utrecht University (NL)
- Institute for High Performance Computing and Networking (IT)
- University of Calabria (IT)
- University of Milano-Bicocca (IT)
Publication Details
- Journal
- KI - Künstliche Intelligenz
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1007/s13218-025-00897-6
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00