Type

Conference Proceedings

Authors

Harshvardhan Jitendra Pandit
Declan O'Sullivan
David Lewis

Subjects

Computer Science

Topics
policies digital engagement gdpr processing privacy policy provenance modelling metadata

Extracting provenance metadata from privacy policies (2018)

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.
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Full list of authors on original publication

Harshvardhan Jitendra Pandit, Declan O'Sullivan, David Lewis

Experts in our system

1
Harshvardhan Jitendra Pandit
Trinity College Dublin
Total Publications: 29
 
2
Declan O'Sullivan
Trinity College Dublin
Total Publications: 93
 
3
David Lewis
Trinity College Dublin
Total Publications: 86