A Use Case of Data Integration in Food Production

Liliana L. Ibanescu (1) , Thomas Allard (2) , Stéphane Dervaux (1) , Juliette Dibie-Barthelemy (1) , Elisabeth Guichard (2) , Caroline Pénicaud (3) , Joe Raad (1)

1 MIA-Paris - Mathématiques et Informatique Appliquées
2 CSGA - Centre des Sciences du Goût et de l'Alimentation [Dijon]
3 GMPA - Génie et Microbiologie des Procédés Alimentaires

This paper presents a use case about knowledge representation and integration of data from different domains in food science. An ontology named PO 2 DG, the Process and Observation Ontology for the production of Dairy Gels, has been designed in order to provide a shared vocabulary for domain experts. The available data have been semantically structured using PO 2 DG and are stored in an RDF repository named PO 2 DG dataset. This use case identifies some of the challenges when dealing with a multi domain representation problem, gives some hints about possible solutions and suggests some further work.

Keywords: process representation; experimental observations represen- tation; food science; ontology based data integration

Domains: Computer Science [cs]; Artificial Intelligence [cs.AI]; Web

Liliana L. Ibanescu, Thomas Allard, Stéphane Dervaux, Juliette Dibie-Barthelemy, Elisabeth Guichard, et al.. A Use Case of Data Integration in Food Production. 21st International Conference on Knowledge Engineering and Knowledge Management, EKAW, Nov 2018, Nancy, France. ⟨hal-01924171⟩