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Authors: Francesco Colace 1 ; Massimo De Santo 1 ; Mario Vento 1 and Pasquale Foggia 2

Affiliations: 1 DIIIE, Università degli Studi di Salerno, Italy ; 2 DIS, Università di Napoli “Federico II”, Italy

Keyword(s): Bayesian Networks, Ontology, MultiExpert System

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bayesian Networks ; Computer-Supported Education ; e-Learning ; Enterprise Information Systems ; Information Technologies Supporting Learning ; Intelligent Tutoring Systems ; Soft Computing

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.

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Paper citation in several formats:
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; ISSN 2184-4992, SciTePress, pages 386-389. DOI: 10.5220/0002523003860389

@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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Colace, F.
AU - De Santo, M.
AU - Vento, M.
AU - Foggia, P.
PY - 2005
SP - 386
EP - 389
DO - 10.5220/0002523003860389
PB - SciTePress

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