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Publication . Conference object . 2019

GConsent - A Consent Ontology Based on the GDPR

Pandit, Harshvardhan J.; Debruyne, Christophe; O'Sullivan, Declan; Lewis, Dave;
Open Access  
Published: 25 May 2019
Publisher: Springer International Publishing
Country: Belgium
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.
Subjects by Vocabulary

Microsoft Academic Graph classification: General Data Protection Regulation Computer science Semantic Web Internet privacy business.industry business Ontology (information science) Data Protection Act 1998

ACM Computing Classification System: ComputingMilieux_LEGALASPECTSOFCOMPUTING

Subjects

Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

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