An Object Oriented Approach for Ontology Modeling and Reasoning

Ouassila Labbani Narsis, Christophe Nicolle

2021

Abstract

In Industry, IT personnel commonly manipulate the object paradigm for software engineering. Industry 4.0 with its profusion of data requires the implementation of a knowledge engineering approach, breaking with data processing habits. The way from an object practice to an ontological vision is a gap for most of the staff, and transition from a business expert model to software implementation is the source of many errors and delays. Moreover, in ontology engineering, namely that domain experts have significant difficulties learning ontology languages and correctly using them. To overcome this problem, this paper presents the first results of a modeling and reasoning approach based on the object paradigm by combining UML modeling and reasoning by constraint resolution with OCL. The ontology produced by domain experts can then be checked and improved by a UML/OCL approach which is easily understandable and often more familiar to engineers.

Download


Paper Citation


in Harvard Style

Narsis O. and Nicolle C. (2021). An Object Oriented Approach for Ontology Modeling and Reasoning. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 2: KEOD; ISBN 978-989-758-533-3, SciTePress, pages 128-135. DOI: 10.5220/0010642800003064


in Bibtex Style

@conference{keod21,
author={Ouassila Labbani Narsis and Christophe Nicolle},
title={An Object Oriented Approach for Ontology Modeling and Reasoning},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 2: KEOD},
year={2021},
pages={128-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010642800003064},
isbn={978-989-758-533-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 2: KEOD
TI - An Object Oriented Approach for Ontology Modeling and Reasoning
SN - 978-989-758-533-3
AU - Narsis O.
AU - Nicolle C.
PY - 2021
SP - 128
EP - 135
DO - 10.5220/0010642800003064
PB - SciTePress