ECA RULE ONTOLOGY - Modelling Prescriptive Rules as Descriptive Ontology

Vandana Kabilan, Pernilla Svan

2007

Abstract

Ontology is said to be descriptive in contrast to the prescriptive nature of typical behaviour, process or rules. However, rules and behaviour models are in themselves a domain of re usable shared knowledge. Whether in the domain of enterprise systems or in military modelling and simulations, we find instances of such ’prescriptive’ body of knowledge. While capturing such ’rules’ as programmatic axioms using rule languages may be viable, it does not help us is establishing the reusable domain knowledge. In this paper, we combine software engineering technique based on the Event Condition Action logic to propose the ECA Rule Ontology as a mechanism for capturing such prescriptive rules as ontological conceptualisations. We exemplify our approach by applying it to the domain of military operations modelling and simulations.

Paper Citation

in Harvard Style

Kabilan V. and Svan P. (2007). ECA RULE ONTOLOGY - Modelling Prescriptive Rules as Descriptive Ontology . In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-972-8865-78-8, pages 408-415. DOI: 10.5220/0001277904080415

in Bibtex Style

@conference{webist07,
author={Vandana Kabilan and Pernilla Svan},
title={ECA RULE ONTOLOGY - Modelling Prescriptive Rules as Descriptive Ontology},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2007},
pages={408-415},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001277904080415},
isbn={978-972-8865-78-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - ECA RULE ONTOLOGY - Modelling Prescriptive Rules as Descriptive Ontology
SN - 978-972-8865-78-8
AU - Kabilan V.
AU - Svan P.
PY - 2007
SP - 408
EP - 415
DO - 10.5220/0001277904080415