Discovering learning paths on a domain ontology using natural language interaction

Authors:
Roberto Pirrone;Massimo Cossentino;Giovanni Pilato;Riccardo Rizzo;Giuseppe Russo
Affiliations:
DINFO, University of Palermo Viale delle Scienze, Palermo, Italy and ICAR, Italian National Research Council Viale delle Scienze, Palermo, Italy;ICAR, Italian National Research Council Viale delle Scienze, Palermo, Italy;ICAR, Italian National Research Council Viale delle Scienze, Palermo, Italy;ICAR, Italian National Research Council Viale delle Scienze, Palermo, Italy;DINFO, University of Palermo Viale delle Scienze, Palermo, Italy
Venue:
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Year:
2005

Citing 1
Cited 1

Map-based horizontal navigation in educational Hypertext

Proceedings of the thirteenth ACM conference on Hypertext and hypermedia

Domain ontology learning and consistency checking based on TSC approach and racer

RR'07 Proceedings of the 1st international conference on Web reasoning and rule systems

Quantified Score

Hi-index	0.00

Visualization

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.