An Ontology for Data Regulation

Guillaume Delorme, Guilaine Talens, Eric Disson

2022

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.

Paper Citation

in Harvard Style

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) - Volume 2: KEOD; ISBN 978-989-758-614-9, SciTePress, pages 66-74. DOI: 10.5220/0011548400003335

in Bibtex Style

@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) - Volume 2: KEOD},
year={2022},
pages={66-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011548400003335},
isbn={978-989-758-614-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD
TI - An Ontology for Data Regulation
SN - 978-989-758-614-9
AU - Delorme G.
AU - Talens G.
AU - Disson E.
PY - 2022
SP - 66
EP - 74
DO - 10.5220/0011548400003335
PB - SciTePress