Abstract
Knowledge modeling in the context of an intelligent educational system remains a key research issue. Indeed, intelligent learning systems need a high-quality knowledge formalization of the domain theory related to the context. Ontology-based languages allow a detailed semantic description of knowledge that can support the intelligent system in understanding the domain theory. In this paper, we present an ontology-based approach for modeling complex procedural knowledge related to aircraft piloting procedures. We have developed a reference model for piloting tasks with a strong semantic grounding to the domain theory. The decomposition of a reference procedure in a task ontology with links to the domain ontology for supporting the execution that is highly related to the context will be detailed. This work is a preliminary step to an intelligent tutoring system aims at assisting pilots and at providing useful feedback during piloting task.
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24 June 2022
Due to an oversight, the originally published version of this paper did not include the acknowledgement “We acknowledge the support of CRIAQ, the Natural Sciences and Engineering Research Council of Canada (NSERC), CAE, Bombardier, and BMU.” This has now been included.
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We acknowledge the support of CRIAQ, the Natural Sciences and Engineering Research Council of Canada (NSERC), CAE, Bombardier, and BMU.
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Courtemanche, MA., Tato, A., Nkambou, R. (2022). Ontological Reference Model for Piloting Procedures. In: Crossley, S., Popescu, E. (eds) Intelligent Tutoring Systems. ITS 2022. Lecture Notes in Computer Science, vol 13284. Springer, Cham. https://doi.org/10.1007/978-3-031-09680-8_9
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DOI: https://doi.org/10.1007/978-3-031-09680-8_9
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