Ontological Modelling for Intelligent E-learning
- Resource Type
- Conference
- Authors
- Aggelopoulou, Nikolitsa; Pierrakeas, Christos; Artikis, Alexander; Kalles, Dimitris
- Source
- 2014 IEEE 14th International Conference on Advanced Learning Technologies Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on. :716-718 Jul, 2014
- Subject
- Computing and Processing
Engineering Profession
General Topics for Engineers
Ontologies
OWL
Educational institutions
Expert systems
Electronic learning
Lifelong Learning
ontologies
artificial intelligence applications
distance education
- Language
- ISSN
- 2161-3761
2161-377X
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. To develop intelligent e-learning applications, we capture the semantics of the Computer Science module concepts with the use of ontologies, by following a specific methodology to build domain knowledge ontologies. We illustrate our approach by presenting the construction of the ontologies of the Artificial Intelligence & Expert Systems module.