Ontological Modelling for Intelligent e-Learning

被引：5

作者：

Aggelopoulou, Nikolitsa ^{[1
]}

Pierrakeas, Christos ^{[1
]}

Artikis, Alexander ^{[2
]}

Kalles, Dimitris ^{[3
]}

机构：

[1] HOU, Educ Content Methodol & Technol Lab E CoMeT Lab, Patras, Greece

[2] NCSR Demokritos, Inst Informat & Telecommunicat, Athens, Greece

[3] Hellen Open Univ HOU, Sch Sci & Technol, Patras, Greece

来源：

2014 14TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT) | 2014年

关键词：

Lifelong Learning; ontologies; artificial intelligence - applications; distance education;

D O I：

10.1109/ICALT.2014.208

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.)

引用

页码：716 / +

页数：2

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