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dc.contributor.authorLewis, David
dc.contributor.authorO'Sullivan, Declan
dc.contributor.authorPANDIT, HARSHVARDHAN JITENDRA
dc.date.accessioned2020-02-14T16:54:33Z
dc.date.available2020-02-14T16:54:33Z
dc.date.created13/9/2018en
dc.date.issued2018
dc.date.submitted2018en
dc.identifier.citationPandit, H.J., O'Sullivan, D. & Lewis, D., Exploring GDPR compliance over provenance graphs using SHACL, SEMANTiCS 2018 – 14th International Conference on Semantic Systems, Vienna, Austria, 13/9/2018, 2198, 2018, 67 - 71en
dc.identifier.otherY
dc.identifier.urihttp://ceur-ws.org/Vol-2198/paper_120.pdf
dc.identifier.urihttp://hdl.handle.net/2262/91542
dc.description.abstractSemantic web technologies provide an open and adaptable framework for compliance regarding the General Data Protection Reg- ulation (GDPR). Our previous work in this regard demonstrates the use of SPARQL for querying provenance of consent and personal data lifecycles for compliance. We extend this work through our model for evaluation of GDPR compliance using SHACL to validate the correct- ness and completeness of information. The model describes the creation of a compliance graph consisting of information required to document and demonstrate compliance linked to specific articles and obligations within the GDPR using the GDPRtEXT vocabulary.en
dc.format.extent67en
dc.format.extent71en
dc.language.isoenen
dc.relation.ispartofseries2198;
dc.rightsYen
dc.subjectGDPRen
dc.subjectRegulatory complianceen
dc.subjectProvenanceen
dc.subjectSHACLen
dc.titleExploring GDPR compliance over provenance graphs using SHACLen
dc.title.alternativeSEMANTiCS 2018 ? 14th International Conference on Semantic Systemsen
dc.typeConference Paperen
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/osulldps
dc.identifier.rssinternalid193164
dc.rights.ecaccessrightsopenAccess
dc.identifier.orcid_id0000-0002-5068-3714


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