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Communication Dans Un Congrès Année : 2019

OntoSamsei: Interactive ontology modeling for supporting simulation-based training in Medicine

Résumé

Medical simulation is now a central thread in the fabric of medical education and as an integrative strat- egy to bridge theory to practice has been identified as a need in medical education in the future. Due to the recency of simulation-based training in medicine and the scarcity of available documentation and modelisation, current information retrieval and data mining approaches are not effective in understanding the context of simulation-based training content. The overall objectives of our research are to develop an interactive and incremental ontology modeling approach in order to model ill-defined domains such as some sub-domains related to pedagogy. We propose building an ontology for simulation-based medical education domain, called ONTOSAMSEI. The main contribution includes a new tool to automatically generate pre-filled forms guided by the ontology in order to share the acquired knowledge with the domain experts, and collect new information from them to enrich the ontology.
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Dates et versions

hal-03419468 , version 1 (08-11-2021)

Identifiants

  • HAL Id : hal-03419468 , version 1

Citer

Shadi Baghernezhad-Tabasi, Marie-Christine Rousset, Fabrice Jouanot, Loïc Druette, Céline Meurger. OntoSamsei: Interactive ontology modeling for supporting simulation-based training in Medicine. 11th International Conference on Knowledge Engineering and Ontology Development, Doctoral Consortium, Sep 2019, Vienne, Austria. ⟨hal-03419468⟩
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