Toward an Ontology-Based Framework for Textual System Requirements Extraction and Analysis

Zakaria Mejdoul, Zakaria Mejdoul, Gaëlle Lortal, Myriam Lamolle, Myriam Lamolle

2025

Abstract

This paper introduces the context, objectives and expectations of an ontology-driven framework designed to support engineers in the analysis of textual system requirements. The primary goals are twofold: (i) to keep the System Engineering-(SE) formal processes that satisfy industrial constraints, and (ii) to provide a semantic representation of textual requirements, enabling consistent semantic analysis through the logical properties of ontologies. Formalization and semantic analysis of system requirements provide early evidence of adequate specification, for reducing the validation tasks and high-cost corrective measures during later system development phases. Integrating ontologies into the SE process enhances system engineers’ ability to understand and manage requirements, leading to a smoother design and more accurate operation.

Paper Citation

in Harvard Style

Mejdoul Z., Lortal G. and Lamolle M. (2025). Toward an Ontology-Based Framework for Textual System Requirements Extraction and Analysis. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 136-143. DOI: 10.5220/0013210500003929

in Bibtex Style

@conference{iceis25,
author={Zakaria Mejdoul and Gaëlle Lortal and Myriam Lamolle},
title={Toward an Ontology-Based Framework for Textual System Requirements Extraction and Analysis},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2025},
pages={136-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013210500003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Toward an Ontology-Based Framework for Textual System Requirements Extraction and Analysis
SN - 978-989-758-749-8
AU - Mejdoul Z.
AU - Lortal G.
AU - Lamolle M.
PY - 2025
SP - 136
EP - 143
DO - 10.5220/0013210500003929
PB - SciTePress