Type

Conference Proceedings

Authors

Christophe Debruyne
Harshvardhan Jitendra Pandit
David Lewis
Declan O'Sullivan

Subjects

Computer Science

Topics
gdpr consent web technologies knowledge and data engineering owl2 dl ontology regulatory compliance digital engagement semantic web

GConsent - A Consent Ontology based on the GDPR (2019)

Abstract Consent is an important legal basis for the processing of personal data under the General Data Protection Regulation (GDPR), which is the current European data protection law. GPDR provides constraints and obligations on the validity of consent, and provides data subjects with the right to withdraw their consent at any time. Determining and demonstrating compliance to these obligations require information on how the consent was obtained, used, and changed over time. Existing work demonstrates feasibility of semantic web technologies in modelling information and determining compliance for GDPR. Although these address consent, they currently do not model all the information associated with it. In this paper, we address this by first presenting our analysis of information associated with consent under the GDPR. We then present GConsent, an OWL2-DL ontology for representation of consent and its associated information such as provenance. The paper presents the methodology used in the creation and validation of the ontology as well as an example use-case demonstrating its applicability. The ontology and this paper can be accessed online at https://w3id.org/GConsent.
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Full list of authors on original publication

Christophe Debruyne, Harshvardhan Jitendra Pandit, David Lewis, Declan O'Sullivan

Experts in our system

1
Christophe Debruyne
Trinity College Dublin
Total Publications: 12
 
2
Harshvardhan Jitendra Pandit
Trinity College Dublin
Total Publications: 29
 
3
David Lewis
Trinity College Dublin
Total Publications: 86
 
4
Declan O'Sullivan
Trinity College Dublin
Total Publications: 93