An Ontology for Data Regulation

Guillaume Delorme; Guilaine Talens; Eric Disson

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Paper

An Ontology for Data Regulation

Topics: Applications and Case-Studies; Domain Ontologies; Ontology Engineering

In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: IC3K, 66-74, 2022 , Valletta, Malta

Authors: Guillaume Delorme ; Guilaine Talens and Eric Disson

Affiliation: Institute Laboratoire Magelan, UR Magellan, University Jean Moulin Lyon 3, Iaelyon School of Management, Lyon, France

Keyword(s): Ontology, Compliance, Knowledge-based, Privacy.

Abstract: The recent upsurge enactment of regulations seeking to regulate data processing induces a complexification of compliance management for regulated firms. Firms wishing to implement efficient, cost effective and compliant information security and risk management require an increased comprehension of regulatory requirements. Following a previous paper defining Data Regulation Risk, this paper describes an ontology to apprehend the business and operational impacts of regulatory requirements. The ontology is structured to handle various firms’ legal context while remaining agnostic of risk management methodologies.

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Paper citation in several formats:

Delorme, G.; Talens, G. and Disson, E. (2022). An Ontology for Data Regulation. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KEOD; ISBN 978-989-758-614-9; ISSN 2184-3228, SciTePress, pages 66-74. DOI: 10.5220/0011548400003335

@conference{keod22,
author={Guillaume Delorme. and Guilaine Talens. and Eric Disson.},
title={An Ontology for Data Regulation},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KEOD},
year={2022},
pages={66-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011548400003335},
isbn={978-989-758-614-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KEOD
TI - An Ontology for Data Regulation
SN - 978-989-758-614-9
IS - 2184-3228
AU - Delorme, G.
AU - Talens, G.
AU - Disson, E.
PY - 2022
SP - 66
EP - 74
DO - 10.5220/0011548400003335
PB - SciTePress