An ontology for data regulation - Archive ouverte HAL Access content directly
Proceedings Year : 2022

An ontology for data regulation

Guilaine Talens
Guillaume Delorme
  • Function : Author
  • PersonId : 1333945
  • IdRef : 274438011
Eric Disson
  • Function : Author
  • PersonId : 924015

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.
No file

Dates and versions

hal-03811588 , version 1 (12-10-2022)

Licence

Attribution - NonCommercial - NoDerivatives

Identifiers

  • HAL Id : hal-03811588 , version 1

Cite

Guilaine Talens, Guillaume Delorme, Eric Disson. An ontology for data regulation. 2, pp.66 - 74, 2022, Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 978-989-758-614-9. ⟨hal-03811588⟩
31 View
0 Download

Share

Gmail Facebook X LinkedIn More