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Communication Dans Un Congrès Année : 2021

OntoSAMSEI: Interactive ontology engineering for supporting simulation-based training in Medicine

Loïc Druette
  • Fonction : Auteur
  • PersonId : 1118018
Fabrice Jouanot
  • Fonction : Auteur
  • PersonId : 1118019
Celine Meurger
  • Fonction : Auteur
  • PersonId : 1118020

Résumé

Simulation-based training is becoming a central need in medical education. So far, only a few pioneering teachers have developed and documented a pedagogical expertise for setting up training sessions based on simulation, making difficult to share it with less experienced teachers. In this paper, we describe an interactive and incremental ontology modeling approach in order to model such ill-defined domains related to pedagogy. We have built the ONTOSAMSEI ontology for simulation-based medical education domain, and developed a new tool to automatically generate pre-filled forms in order to share the acquired knowledge among domain experts, and collect new information from them to enrich the ontology. We also report on the evaluation by domain experts of the completeness and the accuracy of the ONTOSAMSEI ontology resulting from this incremental methodology supported by a pre-filled graphical user interface.
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Dates et versions

hal-03448175 , version 1 (25-11-2021)

Identifiants

  • HAL Id : hal-03448175 , version 1

Citer

Shadi Baghernezhad-Tabasi, Loïc Druette, Fabrice Jouanot, Celine Meurger, Marie-Christine Rousset. OntoSAMSEI: Interactive ontology engineering for supporting simulation-based training in Medicine. Semantic technologies for smart information sharing and web collaboration, We2Touch Conference Track @ 30th IEEE WETICE Conference, Oct 2021, Bayonne, France. ⟨hal-03448175⟩
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