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dc.contributor.authorO'Sullivan, Declan
dc.contributor.authorLewis, David
dc.contributor.authorPANDIT, HARSHVARDHAN JITENDRA
dc.contributor.authorDebruyne, Christophe
dc.date.accessioned2020-02-18T15:37:43Z
dc.date.available2020-02-18T15:37:43Z
dc.date.created2nd June 2019en
dc.date.issued2019
dc.date.submitted2019en
dc.identifier.citationPandit, H.J., Debruyne, C., O'Sullivan, D. & Lewis, D., GConsent - A Consent Ontology based on the GDPR, 16th European Semantic Web Conference (ESWC), Portoroz, Slovenia, 2nd June 2019, Springer, 2019, 270 - 282en
dc.identifier.otherY
dc.identifier.urihttps://link.springer.com/chapter/10.1007%2F978-3-030-21348-0_18
dc.identifier.urihttp://hdl.handle.net/2262/91565
dc.description.abstractConsent 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.en
dc.format.extent270en
dc.format.extent282en
dc.language.isoenen
dc.publisherSpringeren
dc.rightsYen
dc.subjectConsenten
dc.subjectGDPRen
dc.subjectRegulatory complianceen
dc.subjectOWL2-DL ontologyen
dc.titleGConsent - A Consent Ontology based on the GDPRen
dc.title.alternative16th European Semantic Web Conference (ESWC)en
dc.typeConference Paperen
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/pandith
dc.identifier.peoplefinderurlhttp://people.tcd.ie/delewis
dc.identifier.peoplefinderurlhttp://people.tcd.ie/debruync
dc.identifier.peoplefinderurlhttp://people.tcd.ie/osulldps
dc.identifier.rssinternalid204857
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-030-21348-0_18
dc.identifier.doihttps://doi.org/10.5281/zenodo.3246430
dc.rights.ecaccessrightsopenAccess
dc.relation.sourceGConsent Ontology & Documentationen
dc.subject.TCDThemeDigital Engagementen
dc.subject.TCDTagKnowledge and data engineeringen
dc.relation.sourceurihttps://w3id.org/GConsent/en
dc.identifier.orcid_id0000-0002-5068-3714


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