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Authors: Souad Benomrane 1 ; Zied Sellami 2 ; Mounir Ben Ayed 1 and Adel M. Alimi 1

Affiliations: 1 University of Sfax, Tunisia ; 2 LIP6 - Equipe ACASA, France

ISBN: 978-989-758-073-4

ISSN: 2184-433X

Keyword(s): Dynamic Ontology, Co-Evolution, Adaptive Multi-Agent System.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Enterprise Ontologies ; Formal Methods ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Ontologies ; Simulation and Modeling ; Software Engineering ; Symbolic Systems

Abstract: A dynamic ontology evolution reflects the ontology adaptation, to a set of changes and their propagation to the other dependent components, to ensure its consistency. This process needs a frequent involvment of the user (ontologist), which is a complex and time consuming task. As a solution, in this paper we present an extension of an ontology evolution tool called DYNAMO MAS based on an adaptive multi-agent system (AMAS). We improve agents by adding new behaviour to adapt to ontologist actions in order to improve the proposals already made and to propose others.

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Paper citation in several formats:
Benomrane, S.; Sellami, Z.; Ben Ayed, M. and Alimi, A. (2015). An Adaptive Multi-Agent System for Ontology Co-evolution.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-073-4, ISSN 2184-433X, pages 216-221. DOI: 10.5220/0005257602160221

@conference{icaart15,
author={Souad Benomrane. and Zied Sellami. and Mounir Ben Ayed. and Adel M. Alimi.},
title={An Adaptive Multi-Agent System for Ontology Co-evolution},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={216-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005257602160221},
isbn={978-989-758-073-4},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - An Adaptive Multi-Agent System for Ontology Co-evolution
SN - 978-989-758-073-4
AU - Benomrane, S.
AU - Sellami, Z.
AU - Ben Ayed, M.
AU - Alimi, A.
PY - 2015
SP - 216
EP - 221
DO - 10.5220/0005257602160221

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