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An OWL2 ontology for representing the provenance of consent & data lifecycles for GDPR

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Harshvardhan Pandit 2f7780d86a keep html docs with dual names %!s(int64=6) %!d(string=hai) anos
docs 2f7780d86a keep html docs with dual names %!s(int64=6) %!d(string=hai) anos
v 8930fd9e05 fix minor labels %!s(int64=6) %!d(string=hai) anos
README.md a758adb850 added docs, ontology history, setup repo %!s(int64=7) %!d(string=hai) anos
gdprov.owl 8930fd9e05 fix minor labels %!s(int64=6) %!d(string=hai) anos

README.md

GDPRov - GDPR Provenance Ontology

GDPRov is an OWL2 ontology for representing the provenance of consent & data lifecycles with a view towards GDPR compliance. The ontology aims to provide a high-level abstraction of the interactions of processes over consent & data.

The ontology documentation can be found here.

Please cite this project/ontology as -

Title: Modelling provenance for GDPR compliance using linked open data vocabularies

Authors: Harshvardhan J. Pandit and Dave Lewis

Workshop: Society, Privacy and the Semantic Web - Policy and Technology (PrivOn), 2017

To be published in ISWC 2017 proceedings.