A BAYESIAN APPROACH FOR AUTOMATIC BUILDING LIGHTWEIGHT ONTOLOGIES FOR E-LEARNING ENVIRONMENT

Francesco Colace, Massimo De Santo, Mario Vento, Pasquale Foggia

Abstract

In the last decade the term “Ontology” has become a fashionable word inside the Knowledge Engineering Community. Although there are several methodologies and methods for building ontologies they are not fully mature if we compare them with software and knowledge engineering techniques. In this paper we propose a novel approach for building university curricula ontology through analysis of real data: answers of students to final course tests. In fact teachers design these tests keeping in mind the main topics of course knowledge domain and their semantic relation. The ontology building is accomplished by means of Bayesian Networks.

References

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Paper Citation


in Harvard Style

Colace F., De Santo M., Vento M. and Foggia P. (2005). A BAYESIAN APPROACH FOR AUTOMATIC BUILDING LIGHTWEIGHT ONTOLOGIES FOR E-LEARNING ENVIRONMENT . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-19-8, pages 386-389. DOI: 10.5220/0002523003860389


in Bibtex Style

@conference{iceis05,
author={Francesco Colace and Massimo De Santo and Mario Vento and Pasquale Foggia},
title={A BAYESIAN APPROACH FOR AUTOMATIC BUILDING LIGHTWEIGHT ONTOLOGIES FOR E-LEARNING ENVIRONMENT},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2005},
pages={386-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002523003860389},
isbn={972-8865-19-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A BAYESIAN APPROACH FOR AUTOMATIC BUILDING LIGHTWEIGHT ONTOLOGIES FOR E-LEARNING ENVIRONMENT
SN - 972-8865-19-8
AU - Colace F.
AU - De Santo M.
AU - Vento M.
AU - Foggia P.
PY - 2005
SP - 386
EP - 389
DO - 10.5220/0002523003860389