An ontology-based pipeline to support the design of technical itineraries: application to composite food packaging
Résumé
Due to the complexity of their data collection and their multi-scale approach, technical itineraries are complex and challenging to model. In this short abstract, we present a complete pipeline that aims to answer two kinds of expert competency questions: some by directly querying the data, and the others by learning a model able to reason with this complexity. By answering those, POND allows us to discover new applications and reverse engineer possible modifications.
| Origine | Fichiers produits par l'(les) auteur(s) |
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