Conference paper Open Access

GConsent - A Consent Ontology Based on the GDPR

Pandit, Harshvardhan J.; Debruyne, Christophe; O'Sullivan, Declan; Lewis, Dave

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.

Files (382.4 kB)
Name Size
preprint.pdf
md5:f0eb72dbfc8677a11b593fb5be6de60c
382.4 kB Download
57
42
views
downloads
All versions This version
Views 5757
Downloads 4242
Data volume 16.1 MB16.1 MB
Unique views 5757
Unique downloads 4040

Share

Cite as