This paper presents a workflow for the design of transformation processes using different
kinds of expert's knowledge. It introduces POND (Process and observation ONtology …

Discovering causal relations in a knowledge base represents nowadays a challenging
issue, as it gives a brand new way of understanding complex domains. In this paper, we …

Being able to provide explanations about a domain is a hard task that requires from a
probabilistic reasoning's viewpoint a causal knowledge about the domain variables …

The scientific literature is a valuable source of information for develo** predictive models
to design decision support systems. However, scientific data are heterogeneously structured …

Designing new processes for bio-based and biodegradable food packaging is an
environmental and economic challenge. Due to the multiplicity of the parameters, such an …

The food production and processing sector are facing sustainability challenges of growing
complexity. To tackle these challenges, data and knowledge from many different domains …

In my work, I integrate experts' knowledge in learning and inference in machine learning
applied to various application domains. In the last ten years at AgroParisTech I formalized …

Modeling cheese fabrication process helps experts to check their assumption on the domain
such as finding which parameters (denoted as control parameters) can explain the final …

The complexity of analysing dynamical systems often lies in the difficulty to monitor each of
their dynamic properties. In this article, we use qualitative models to present an exhaustive …

With numerous parameters and criteria to take into account, transformation processes are a
challenge to model and reason about. This work can be eased thanks to knowledge graphs …