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Authors: Emna Amdouni 1 and Bernard Gibaud 2

Affiliations: 1 B-com Institute of Research and Technology, France ; 2 Université de Rennes 1, France

ISBN: 978-989-758-203-5

Keyword(s): Knowledge Representation, Domain Analysis and Modeling, Concept-based and Realism-based Ontologies.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; Domain Analysis and Modeling ; e-Business ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: The aim of this paper is to argue why we should adopt a realism-based approach to describe neuroimaging features that are involved in clinical assessments rather than a concept-based approach. This work is a part of a proposal aiming at making explicit the meaning of neuroimaging observations via realism-based ontologies.

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Paper citation in several formats:
Amdouni, E. and Gibaud, B. (2016). Concept-based versus Realism-based Approach to Represent Neuroimaging Observations.In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2016) ISBN 978-989-758-203-5, pages 179-185. DOI: 10.5220/0006084401790185

@conference{keod16,
author={Emna Amdouni. and Bernard Gibaud.},
title={Concept-based versus Realism-based Approach to Represent Neuroimaging Observations},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2016)},
year={2016},
pages={179-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006084401790185},
isbn={978-989-758-203-5},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2016)
TI - Concept-based versus Realism-based Approach to Represent Neuroimaging Observations
SN - 978-989-758-203-5
AU - Amdouni, E.
AU - Gibaud, B.
PY - 2016
SP - 179
EP - 185
DO - 10.5220/0006084401790185

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