@proceedings{697,
title = {Ontological Modelling for Intelligent e-Learning},
author = {Niki Aggelopoulou and Christos Pierrakeas and Alexander Artikis and Dimitris Kalles},
url = {http://daissy.eap.gr/wp-content/uploads/2015/03/Ontological-Modelling-for-Intelligent-e-Learning1.pdf},
year = {2014},
date = {2014-01-01},
journal = {14th IEEE International Conference on Advanced Learning Technologies (ICALT 2014)},
address = {Athens, Greece},
abstract = {The evolution of scientific research as well as the development of the relevant technologies and methodologies in the area of distance learning fall within the scope of the objectives the Hellenic Open University whose mission is to provide distance education at both undergraduate and postgraduate level. In order to develop intelligent e-learning applications, we capture the semantics of the Computer Science course concepts with the use of ontologies, by following a specific methodology to build the domain knowledge ontology. We illustrate our approach by presenting the construction of the ontologies of the Artificial Intelligence Expert Systems module.},
keywords = {artificial intelligence {–} applications, distance education, Lifelong learnig, ontologies},
pubstate = {published},
tppubtype = {proceedings}
}
The evolution of scientific research as well as the development of the relevant technologies and methodologies in the area of distance learning fall within the scope of the objectives the Hellenic Open University whose mission is to provide distance education at both undergraduate and postgraduate level. In order to develop intelligent e-learning applications, we capture the semantics of the Computer Science course concepts with the use of ontologies, by following a specific methodology to build the domain knowledge ontology. We illustrate our approach by presenting the construction of the ontologies of the Artificial Intelligence Expert Systems module.
