This article aims to present an ontological approach for the domain knowledge representation of an intelligent tutoring system for learning transcription based on pitches in the Mooré language. This system that we built allows us to learn the transcription of polysemous words in the Mooré language. In our intelligent tutoring system, the knowledge of the learning domain is stored in a relational database. This way of storing knowledge does not allow the sharing and reuse of the corpus of knowledge in our learning domain by other systems. So, we proposed to move to an ontological representation of the knowledge of our system. Ontologies are one of the Artificial Intelligence approaches that are used to represent the domain knowledge of intelligent tutoring systems. They constitute a solution for representing and sharing knowledge. Thus, this ontological representation that we propose will make it possible to respond to the limits mentioned above. Before presenting, the learning knowledge ontology of our system, we will briefly describe the adopted methodology for building our intelligent tutoring system. This methodology that we present here could be used as an approach to facilitate the building of intelligent tutoring system in other tone languages. It will also show the domain schema of the system from which we built the present ontology.
Ontology, Intelligent tutoring system, Tone language, Moor´