PO² - A Process and Observation Ontology in Food Science. Application to Dairy Gels
Abstract
This paper focuses on the knowledge representation task for
an interdisciplinary project called Delicious concerning the production
and transformation processes in food science. The originality of this
project is to combine data from different disciplines like food composition,
food structure, sensorial perception and nutrition. Available data
sets are described using different vocabularies and are stored in different
formats. Therefore there is a need to define an ontology, called PO2
(Process and Observation Ontology), as a common and standardized
vocabulary for this project. The scenario 6 of the NeON methodology
was used for building PO2 and the core component is implemented in
OWL. By making use of PO2, data from the project were structured
and an use case is presented here. PO2 aims to play a key role as the
representation layer of the querying and simulation systems of Delicious
project.