Dr. Catherine Roussey

The website for the Data Science School in Bénin, 2022

Dr. Catherine Roussey

Dr Catherine Roussey

Catherine ROUSSEY is presently a researcher at the French National Research Institute for Agriculture, Food and Environment (INRAE). She belongs to the team COPAIN of the TSCF Laboratory. Her research topics are ontology design, knowledge representation, context representation, semantic web, semantic sensor network, spatial reasoning. From 2011 to 2021, She was a researcher at the French National Research Institute for Sciences and Technologies in Environnement (IRSTEA)” formerly known as Cemagref. From 2002 to 2011 she was an Assistant Professor in the Claude Bernard University of Lyon 1. She used to teach database courses at the Computing Department of the Technical University Institute called IUTA located in Bourg en Bresse. At that time, Dr Catherine Roussey was a member of the Lyon Research Center for Images and Intelligent Information Systems (LIRIS). She used to work with Sylvie Calabretto in multilingual information retrieval and document management system. She also worked with Robert Laurini about urban ontology. Since September 2022, she is now part of the INRAE - CUMR Mistea team in Montpellier, France.

Résumé

Auteurs: Catherine Roussey, Stephan Bernard et Ghislain Atemezing. Ce cours introduira l’evolution des systèmes experts vers des systèmes à base de connaissances. Nous présenterons les technologies du Web sémantique et la place des ontologies dans ces techno. Plusieurs cas d’usages agricoles seront utilisés pour illustrer les problématiques de la construction de système à base de connaissances / ontologie:

  • l’intégration et l’interrogation de mesures hétérogènes issues de station météorologique à l’aide de l’ontologie Semantique Sensor Network (SSN).
  • Le développement d’un système de détection du stress hydrique du maïs à partir de mesures de capteurs à l’aide de l’ontologie Context Aware System Ontology (CASO).
  • l’interrogation d’archive de bulletins d’alerte agricole à l’aide de modèles SKOS et de l’ontologie Open Annotation (OA).

Ce dernier cas d’usage sera le contexte de travaux pratiques sur l’interrogation en SPARQL de bases de connaissances.

Abstract

This course will introduce the evolution of systems experts towards knowledge-based systems. We will present the Semantic Web technologies and the role of ontologies in these technologies. Several agricultural use cases will be used to illustrate the problems of building knowledge-based systems / ontologies such as :

  • The integration and querying of heterogeneous measurements from weather stations using the Semantic Sensor Network (SSN) ontology.
  • The development of a water stress detection system for corn from sensor measurements using the Context Aware System Ontology (CASO).
  • The interrogation of an archive of agricultural warning bulletins using SKOS models and the Open Annotation (OA) ontology.

This last use case will be the context of practical work on SPARQL querying of knowledge bases.