GConsent - A Consent Ontology Based on the GDPR
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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.
KeywordsConsent GDPR Regulatory compliance OWL2-DL ontology
This paper is supported by the ADAPT Centre for Digital Content Technology, which is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.
The authors wish to thank the members of Data Protection Vocabularies and Controls Community Group (DPVCG) for their inputs in the discussion of consent and its related research. The authors also wish to thank Pat McBennett for their help in this work.
- 1.Bartolini, C., Muthuri, R.: Reconciling data protection rights and obligations: an ontology of the forthcoming EU regulation. In: Workshop on Language and Semantic Technology for Legal Domain, p. 8 (2015)Google Scholar
- 2.Berrueta, D., Phipps, J., Miles, A., Baker, T., Swick, R.: Best practice recipes for publishing RDF vocabularies. Working draft, W3C (2008)Google Scholar
- 3.Cox, S., Little, C.: Time ontology in OWL. World Wide Web Consortium (2017). https://www.w3.org/TR/owl-time
- 4.Falco, R., Gangemi, A., Peroni, S., Shotton, D., Vitali, F.: Modelling OWL ontologies with Graffoo. In: Presutti, V., Blomqvist, E., Troncy, R., Sack, H., Papadakis, I., Tordai, A. (eds.) ESWC 2014. LNCS, vol. 8798, pp. 320–325. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11955-7_42CrossRefGoogle Scholar
- 5.Fatema, K., Hadziselimovic, E., Pandit, H.J., Debruyne, C., Lewis, D., O’Sullivan, D.: Compliance through informed consent: Semantic based consent permission and data management model. In: Proceedings of the 5th Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn2017) (PrivOn) (2017). http://ceur-ws.org/Vol-1951/#paper-05
- 7.Gurk, S.M., Abela, C., Debattista, J.: Towards ontology quality assessment. In: Joint Proceedings of the MEPDaW, p. 12 (2017)Google Scholar
- 9.Lebo, T., et al.: PROV-O: the PROV ontology (2013)Google Scholar
- 10.Lizar, M., Turner, D.: Consent receipt specification (2017). https://docs.kantarainitiative.org/cis/consent-receipt-specification-v1-1-0.pdf
- 12.Noy, N.F., McGuinness, D.L., et al.: Ontology development 101: a guide to creating your first ontology. Stanford Knowledge Systems Laboratory Technical report KSL-01-05 and \(\ldots \) (2001)Google Scholar
- 15.Pandit, H.J., Lewis, D.: Modelling provenance for GDPR compliance using linked open data vocabularies. In: Proceedings of the 5th Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn2017) (PrivOn) (2017). http://ceur-ws.org/Vol-1951/#paper-06
- 16.Pandit, H.J., O’Sullivan, D., Lewis, D.: Queryable provenance metadata for GDPR compliance. Procedia Comput. Sci. 137, 262–268 (2018). https://doi.org/10/gfdc6r10/gfdc6r. Proceedings of the 14th International Conference on Semantic Systems 10th - 13th of September 2018 Vienna, Austria
- 17.Party, A.W.: Guidelines on consent under regulation 2016/679 (wp259rev.01) (2018). https://ec.europa.eu/newsroom/article29/item-detail.cfm?item_id=623051
- 19.Regulation (EU) 2016/679 of the European parliament and of the council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing directive 95/46/EC (general data protection regulation) (2016). http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ:L:2016:119:TOC
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