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Extracting Provenance Metadata from Privacy Policies

  • Harshvardhan Jitendra Pandit
  • Declan O’Sullivan
  • Dave Lewis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11017)

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.

Keywords

Provenance Privacy policy GDPR 

Notes

This work is supported by the ADAPT Centre for Digital Content Technology which is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.

References

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Harshvardhan Jitendra Pandit
    • 1
  • Declan O’Sullivan
    • 1
  • Dave Lewis
    • 1
  1. 1.ADAPT CentreTrinity College DublinDublinIreland

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