Exploiting Ontology to Build Bayesian Network

Ahmed Mabrouk, Sarra Ben Abbes, Lynda Temal, Ledia Isaj, Philippe Calvez

2022

Abstract

Exploiting experts’ domain knowledge represented in the ontology can significantly enhance the quality of the Bayesian network (BN) structure learning. However, in practice, using such information is not a trivial task. In fact, knowledge encompassed in ontologies doesn’t share the same semantics as those represented in a BN. To tackle this issue, a large effort has been devoted to create a bridge between both models. But, as far as we know, most state-of-the-art approaches require a Bayesian network-specific ontology for which the BN structure could be easily derived. In this paper, we propose a generic method that allows deriving knowledge from ontology to enhance the learning process of BN. We provide several steps to infer dependencies as well as orientations of some edges between variables. The proposition is implemented and applied to the wind energy domain.

Paper Citation

in Harvard Style

Mabrouk A., Ben Abbes S., Temal L., Isaj L. and Calvez P. (2022). Exploiting Ontology to Build Bayesian Network. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-549-4, pages 578-585. DOI: 10.5220/0010840400003122

in Bibtex Style

@conference{icpram22,
author={Ahmed Mabrouk and Sarra Ben Abbes and Lynda Temal and Ledia Isaj and Philippe Calvez},
title={Exploiting Ontology to Build Bayesian Network},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2022},
pages={578-585},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010840400003122},
isbn={978-989-758-549-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Exploiting Ontology to Build Bayesian Network
SN - 978-989-758-549-4
AU - Mabrouk A.
AU - Ben Abbes S.
AU - Temal L.
AU - Isaj L.
AU - Calvez P.
PY - 2022
SP - 578
EP - 585
DO - 10.5220/0010840400003122