A process reverse engineering approach using Process and Observation Ontology and Probabilistic Relational Models: application to processing of bio-composites for food packaging
Résumé
Designing new processes for bio-based and biodegradable food packaging is an environmental and economic challenge. Due to the multiplicity of the parameters, such an issue requires an approach that proposes both (1) to integrate heterogeneous data sources and (2) to allow causal reasoning. In this article, we present POND (Process and observation ONtology Discovery), a workflow dedicated to answering expert queries on domains modeled by the Process and Observation Ontology (PO 2). The presentation is illustrated with a real-world application on bio-composites for food packaging to solve a reverse engineering problem, using a novel dataset composed of data from different projects.
Domaines
Intelligence artificielle [cs.AI]| Origine | Fichiers produits par l'(les) auteur(s) |
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