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Author: El Hassan Bezzazi

Affiliation: IREENAT, Faculté de Droit de Lille 2, France

ISBN: 978-989-8111-05-0

Keyword(s): Ontologies, Description logics, Nonmonotoic logics, Law, Cybercrime, Counterfactuals, Concept fitting.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Enterprise Software Technologies ; Intelligent Problem Solving ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Software Engineering ; Symbolic Systems

Abstract: We present in this paper a small formal cybercrime ontology by using concrete tools. The purpose is to show how law articles and legal cases could be defined so that the problem of case resolution is reduced to a classification problem as long as cases are seen as subclasses of articles. Secondly, we show how counterfactual reasoning may be held over it. Lastly, we investigate the implementation of an hybrid system which is based both on this ontology and on a non-monotonic rule based system which is used to execute, in a rule based way, an external ontology dealing with a technical domain in order to clarify some of the technical concepts.

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Paper citation in several formats:
Hassan Bezzazi E. and (2007). BUILDING AN ONTOLOGY THAT HELPS IDENTIFY CRIMINAL LAW ARTICLES THAT APPLY TO A CYBERCRIME CASE.In Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT, ISBN 978-989-8111-05-0, pages 179-185. DOI: 10.5220/0001327801790185

@conference{icsoft07,
author={El {Hassan Bezzazi}},
title={BUILDING AN ONTOLOGY THAT HELPS IDENTIFY CRIMINAL LAW ARTICLES THAT APPLY TO A CYBERCRIME CASE},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,},
year={2007},
pages={179-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001327801790185},
isbn={978-989-8111-05-0},
}

TY - CONF

JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,
TI - BUILDING AN ONTOLOGY THAT HELPS IDENTIFY CRIMINAL LAW ARTICLES THAT APPLY TO A CYBERCRIME CASE
SN - 978-989-8111-05-0
AU - Hassan Bezzazi, E.
PY - 2007
SP - 179
EP - 185
DO - 10.5220/0001327801790185

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