Learn More
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)
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)
—Generating adapted learning contents is one of the most important activity that can give the best progression of a learner. This is why research on personalization of learning is growing to get learning environments able to adapt the learning activities and contents to the learner's profile. This last contains information about knowledge, skills, behavior,(More)
We propose an approach to semantically enrich metadata records of satellite imagery with external data. As a result we are able the identify relevant images using a larger set of matching criteria. Conventional methods for annotating data sets are usually based on metadata records (with attributes such as title, provider, access mode, and spatio-temporal(More)