| dc.contributor.author | Lewis, David | en |
| dc.contributor.author | O'Sullivan, Declan | en |
| dc.date.accessioned | 2020-02-17T17:16:48Z | |
| dc.date.available | 2020-02-17T17:16:48Z | |
| dc.date.issued | 2018 | en |
| dc.date.submitted | 2018 | en |
| dc.identifier.citation | Pandit, H.J., O?Sullivan, D., Lewis, D, Extracting provenance metadata from privacy policies, 7th International Provenance and Annotation Workshop, London, LNCS 11017, Springer, 2018, 262 - 265 | en |
| dc.identifier.other | Y | en |
| dc.description | PUBLISHED | en |
| dc.description | London | en |
| dc.description.abstract | Privacy policies are legal documents that describe activities
over personal data such as its collection, usage, processing, sharing, and
storage. Expressing this information as provenance metadata can aid
in legal accountability as well as modelling of data usage in real-world
use-cases. In this paper, we describe our early work on identification,
extraction, and representation of provenance information within privacy
policies. We discuss the adoption of entity extraction approaches using
concepts and keywords defined by the GDPRtEXT resource along with
using annotated privacy policy corpus from the UsablePrivacy project.
We use the previously published GDPRov ontology (an extension of
PROV-O) to model provenance model extracted from privacy policies. | en |
| dc.format.extent | 262 | en |
| dc.format.extent | 265 | en |
| dc.language.iso | en | en |
| dc.publisher | Springer | en |
| dc.relation.ispartofseries | LNCS 11017 | en |
| dc.rights | Y | en |
| dc.subject | Provenance | en |
| dc.subject | Privacy policy | en |
| dc.subject | GDPR | en |
| dc.title | Extracting provenance metadata from privacy policies | en |
| dc.title.alternative | 7th International Provenance and Annotation Workshop | 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/delewis | en |
| dc.identifier.peoplefinderurl | http://people.tcd.ie/osulldps | en |
| dc.identifier.rssinternalid | 193167 | en |
| dc.identifier.doi | https://doi.org/10.1007/978-3-319-98379-0_32 | en |
| dc.rights.ecaccessrights | openAccess | |
| dc.subject.TCDTheme | Digital Engagement | en |
| dc.identifier.orcid_id | 0000-0002-3503-4644 | en |
| dc.contributor.sponsor | Science Foundation Ireland (SFI) | en |
| dc.contributor.sponsorGrantNumber | 13/RC/2106 | en |
| dc.identifier.uri | https://link.springer.com/chapter/10.1007%2F978-3-319-98379-0_32 | |
| dc.identifier.uri | http://hdl.handle.net/2262/91556 | |
