Catherine Comparot

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This paper deals with an approach for an automated evaluation of the learners' state of knowledge when learning by doing. This approach is called ODALA for " Ontology-Driven Auto-evaluation for e-Learning Approach ". It takes place in the context of Computer Based Human Learning Environment (CBHLE) in a self-learning by doing mode. ODALA is based on the(More)
We present in this paper ODALA approach (Ontology-Driven Auto-evaluation for e-Learning Approach) for an automated evaluation of the learners state of knowledge. The context considered is Computer Based Human Learning Environnement (CBHLE) in a self-learning by doing mode. This approach, that we put in work and test in the setting of a self-learning system(More)
Many collections of structured documents are available on the web. The collection generally describes the characteristics of entities from a single type, where each page describes one entity. These documents are adequate knowledge sources for building ontologies. As they benefit from a strong and shared layout, they contain less well written text than plain(More)
This paper presents a mechanism for enriching events with geolocalized and temporal open data thanks to spatial and temporal relations. We validate the approach by integrating seismic data, metadata records of satellite imagery and weather information. Together they enable to see impacted areas and to know weather conditions before, during and after a(More)
Nous présentons une approche pour enrichir automatiquement une on-tologie à partir d'un ensemble de pages web structurées. Cette approche s'appuie sur un noyau d'ontologie initial. Son originalité est d'exploiter conjointement la structure des documents et des annotations sémantiques produites à l'aide du noyau d'ontologie pour identifier de nouveaux(More)