Description :
The representation and perception of odors by humans is still a tackling research challenge.
Vocabulary on the sense of smell itself is rather weak among the general public.
Moreover, to date there is no shared knowledge model about odors that would allow a meaningful and visual representation.
The SketchOscent knowledge graph of odors and its visual and interactive representation are resulting from a multidisciplinary collaboration between ONIRIS/GEPEA-Flaveur in food aroma and Polytech Nantes/LS2N in computer sciences. The project is coordinated by Angélique Villière (ONIRIS-GEPEA CNRS 6144 -MAPS2- Flaveur group), and Fabrice Guillet (DUKe team of Polytech Nantes/LS2N).
ONIRIS: the French national veterinary medicine, food science and engineering school; GEPEA: Process Engineering for Environment and Food Laboratory.
Polytech Nantes: graduate school of engineering of the University of Nantes; LS2N: the Laboratory of Digital Sciences of Nantes.
Publication :
Villière, A., Fillonneau, C., Prost, C. & Guillet, F. (2022). SketchOscent: Towards a knowledge-based model and interactive visualization of the odour space. Proceedings of the 16th Weurman Flavour Research Symposium, 2022. (4p) (doi) (hal) (hal)
