Microarrays allow monitoring of thousands of genes over time periods. However, due to the low number of time points of the gene expression series, taking the temporal dependences into account when clustering the data is an hard task. Moreover, classes very interesting for the biologist, but sparse with regard to all the other genes, can be completely omitted by the standard approaches. We propo...

The paper presents a cognitive analysis of design as a problem-solving activity. Design is characterized through results from empirical studies of various design tasks. Based on this characterization, it will be argued why and how knowledge modeling can be considered as a design task. Knowledge modeling has been qualified as the "construction of a set of successive representations". Processing ...

Daniel Sauvant (1945 – 2022) était un chercheur et enseignant brillant, il fut acteur majeur des recherches en nutrition alimentation animale conduites France pendant demi-siècle. Passionné par la transmission connaissances, aussi contributeur de revue INRAE Productions Animales. Cet article lui rend hommage illustre, à travers l’analyse articles qu’il a publiés dans revue, sa contribution l’él...

Knowledge management systems rely upon ontologies in order to describe a domain's knowledge. Concepts evolve in a dynamic multi actor context. Therefore, it is necessary to study the ontology evolution. In this paper, we present an approach for a dynamic evolution of ontologies in semantic web using the agent paradigm. MOTS-CLÉS : web sémantique, évolution d’ontologie, système multi-agents, ges...