dc.contributor.author | O'Sullivan, Declan | |
dc.contributor.author | Lewis, David | |
dc.contributor.author | PANDIT, HARSHVARDHAN JITENDRA | |
dc.date.accessioned | 2020-03-02T15:26:33Z | |
dc.date.available | 2020-03-02T15:26:33Z | |
dc.date.created | 9th October | en |
dc.date.issued | 2018 | |
dc.date.submitted | 2018 | en |
dc.identifier.citation | Pandit, H.J., O'Sullivan, D. & Lewis, D., Towards Knowledge-based Systems for GDPR Compliance, Contextualised Knowledge Graphs (CKG), International Semantic Web Conference (ISWC), Monterey, California, USA, 9th October, 2018, 20-26 | en |
dc.identifier.other | Y | |
dc.description.abstract | Legal compliance is traditionally seen to be sufficiently demonstrable
using legal documents that describe how various operations and
activities follow a given set of obligations. The General Data Protection
Regulation (GDPR) enforces larger responsibilities upon organisations
and provides motivation for the use of technological measures that
can ease its compliance. While there is no legal requirement to collaborate
on compliance technologies or to use a common mechanism for
defining knowledge, doing so has several benefits to the larger community.
Through this paper, we describe how open and shared technologies
targeted towards GDPR and its compliance can be used to create
knowledge-based systems. Our approach uses semantic web technologies
due to their open and
exible nature towards describing concepts and
relationships. We present a model for such a knowledge-based system
along with work published to date. | en |
dc.format.extent | 20-26 | en |
dc.language.iso | en | en |
dc.rights | Y | en |
dc.subject | GDPR | en |
dc.subject | Knowledge-based system | en |
dc.subject | Legal compliance graph | en |
dc.subject | Legal compliance | en |
dc.subject | Provenance | en |
dc.subject | Consent | en |
dc.subject | Linked data | en |
dc.subject | Semantic web | en |
dc.title | Towards Knowledge-based Systems for GDPR Compliance | en |
dc.title.alternative | Contextualised Knowledge Graphs (CKG), International Semantic Web Conference (ISWC) | en |
dc.type | Conference Paper | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/pandith | |
dc.identifier.peoplefinderurl | http://people.tcd.ie/osulldps | |
dc.identifier.peoplefinderurl | http://people.tcd.ie/delewis | |
dc.identifier.rssinternalid | 193092 | |
dc.rights.ecaccessrights | openAccess | |
dc.subject.TCDTheme | Digital Engagement | en |
dc.subject.TCDTag | Knowledge and data engineering | en |
dc.identifier.orcid_id | 0000-0002-5068-3714 | |
dc.contributor.sponsor | Science Foundation Ireland (SFI) | en |
dc.identifier.uri | http://wiki.knoesis.org/index.php/CKG2018 | |
dc.identifier.uri | http://hdl.handle.net/2262/91663 | |