10 - A Knowledge Engineering Approach to Improve Reusability of Food Data (Patrice Buche)

The Knowledge Engineering (KE) approach is an interesting way to design Decision Support Systems (DSS) dedicated to food chain stakeholders. The presentation illustrates this using two examples of DSS (food packaging selection and innovative biomass transformation process comparison). These examples show that KE permits the integration in software pipelines of annotated data, knowledge and numerical models. KE models developed in this approach include flexible database querying, fuzzy databases, ontologies, computational social choice, belief functions.

A specific focus is done on the design of @Web, a 5 stars Linked Open Data tool to annotate and share scientific data extracted from heterogeneous sources thanks to ontologies, which is used in both examples of DSS. It represents an example of the growing interest of the international scientific community in ontology management for agriculture. A lot of annotated data using ontologies will be available in the next years. They will permit to imagine a lot of kinds of reutilization (DSS, meta-analysis, prediction models, …) for the COST Food MC scientific community.