Domain Ontology, an Instrument of Semantic Web Knowledge Management in e-Learning

Authors

  • Anatoly Jasonovich Gladun International Research and Training Centre of Information Technologies and Systems
  • Julia Vitalijevna Rogushina Institute of Software Systems, National Academy of Sciences
  • Jeanne Schreurs Hasselt University

DOI:

https://doi.org/10.3991/ijac.v5i4.2288

Keywords:

ontology, knowledge management, intelligent agent, e-learning, Semantic Web

Abstract


Domain ontology is proposed as an instrument for controlling of e-learning course results. This approach instead of traditional testing more objectively reflects the structure of studentsâ?? knowledge. Use of ontologies for knowledge representation provides interoperability of the used testing systems. The domain knowledge has been found and reuse in the semantic web world. Domain ontology developing is based on the principles of ontological analysis. The method of itâ??s use for evaluation of the learnersâ?? knowledge results is based on matching of the learnersâ?? ontology with the reference ontology proposed by the trainer/tutor. A multi-agent system for e-learning (M(e)L ) has been defined and a prototype system has been developed. In a case, the domain ontology and the semantic web representation has been applied in two e-learning university courses.

Author Biographies

Anatoly Jasonovich Gladun, International Research and Training Centre of Information Technologies and Systems

Dr.Anatoly Gladun Associate Professor Head of Department of the Intelligence Telecommunications System

Julia Vitalijevna Rogushina, Institute of Software Systems, National Academy of Sciences

Dr.Julia Rogushina Associate Professor Head of Department of the Semantic Technologies

Jeanne Schreurs, Hasselt University

J. Schreurs is emeritus professor of Hasselt University. Hasselt University, Agoralaan, 3590 Diepenbeek, Belgium

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Published

2012-11-16

How to Cite

Gladun, A. J., Rogushina, J. V., & Schreurs, J. (2012). Domain Ontology, an Instrument of Semantic Web Knowledge Management in e-Learning. International Journal of Advanced Corporate Learning (iJAC), 5(4), pp. 22–31. https://doi.org/10.3991/ijac.v5i4.2288

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Papers