Discovering learning paths on a domain ontology using natural language interaction

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Abstract

The present work investigates the problem of determining a learning path inside a suitable domain ontology. The proposed approach enables the user of a web learning application to interact with the system using natural language in order to browse the ontology itself. The course related knowledge is arranged as a three level hierarchy: content level, symbolic level, and conceptual level bridging the previous ones. The implementation of the ontological, the interaction, and the presentation component inside the TutorJ system is explained, and the first results are presented. © Springer-Verlag Berlin Heidelberg 2005.

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Pirrone, R., Cossentino, M., Pilato, G., Rizzo, R., & Russo, G. (2005). Discovering learning paths on a domain ontology using natural language interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3533 LNAI, pp. 310–314). Springer Verlag. https://doi.org/10.1007/11504894_42

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