An Adaptive Multi-Agent System for Ontology Co-evolution

Souad Benomrane; Zied Sellami; Mounir Ben Ayed; Adel M. Alimi

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

An Adaptive Multi-Agent System for Ontology Co-evolution

Topics: Multi-Agent Systems; Ontologies

In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 216-221, 2015 , Lisbon, Portugal

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

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.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.220.66.151

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

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, SciTePress, 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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Benomrane, S.
AU - Sellami, Z.
AU - Ben Ayed, M.
AU - Alimi, A.
PY - 2015
SP - 216
EP - 221
DO - 10.5220/0005257602160221
PB - SciTePress