Possibilistic Extension of Domain Information System (DIS) Framework

Deemah Alomair, Deemah Alomair, Ridha Khedri

2025

Abstract

Uncertainty poses a significant challenge in ontology-based systems, manifesting in forms such as incomplete information, imprecision, vagueness, ambiguity, or inconsistency. This paper addresses this challenge by introducing a quantitative possibilistic approach to manage and model incomplete information systematically. Ontologies are modelled using the Domain Information System (DIS) framework, which is designed to handle Cartesian data structured as sets of tuples or lists, enabling the construction of ontologies grounded in the dataset under consideration. Possibility theory is employed to extend the DIS framework, enhancing its ability to represent and reason with incomplete information. The proposed extension captures uncertainty associated with instances, attributes, relationships, and concepts. Furthermore, we propose a reasoning mechanism within DIS that leverages necessity-based possibilistic logic to draw inferences under uncertainty. The proposed approach is characterized by its simplicity. It improves the expressiveness of DIS-based systems, introducing a foundation for flexible and robust decision-making in the presence of incomplete information.

Paper Citation

in Harvard Style

Alomair D. and Khedri R. (2025). Possibilistic Extension of Domain Information System (DIS) Framework. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-769-6, SciTePress, pages 108-119. DOI: 10.5220/0013706800004000

in Bibtex Style

@conference{keod25,
author={Deemah Alomair and Ridha Khedri},
title={Possibilistic Extension of Domain Information System (DIS) Framework},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2025},
pages={108-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013706800004000},
isbn={978-989-758-769-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - Possibilistic Extension of Domain Information System (DIS) Framework
SN - 978-989-758-769-6
AU - Alomair D.
AU - Khedri R.
PY - 2025
SP - 108
EP - 119
DO - 10.5220/0013706800004000
PB - SciTePress