OntoSamsei: Interactive ontology modeling for supporting simulation-based training in Medicine - Archive ouverte HAL
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.
Fichier non déposé

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⟩
39 Consultations
0 Téléchargements

Partager

More