September 6, 2018 Conference paper Open Access

Pandit, Harshvardhan J.; O'Sullivan, Declan; Lewis, Dave

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.3246459</identifier>
  <creators>
    <creator>
      <creatorName>Pandit, Harshvardhan J.</creatorName>
      <givenName>Harshvardhan J.</givenName>
      <familyName>Pandit</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5068-3714</nameIdentifier>
      <affiliation>ADAPT Centre, Trinity College Dubln</affiliation>
    </creator>
    <creator>
      <creatorName>O'Sullivan, Declan</creatorName>
      <givenName>Declan</givenName>
      <familyName>O'Sullivan</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1090-3548</nameIdentifier>
      <affiliation>ADAPT Centre, Trinity College Dubln</affiliation>
    </creator>
    <creator>
      <creatorName>Lewis, Dave</creatorName>
      <givenName>Dave</givenName>
      <familyName>Lewis</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3503-4644</nameIdentifier>
      <affiliation>ADAPT Centre, Trinity College Dubln</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Extracting Provenance Metadata from Privacy Policies</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-09-06</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3246459</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3246458</relatedIdentifier>
  </relatedIdentifiers>
  <version>preprint</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;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.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>Science Foundation Ireland</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100001602</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/SFI/SFI+Research+Centres/13%2FRC%2F2106/">13/RC/2106</awardNumber>
      <awardTitle>ADAPT: Centre for Digital Content Platform Research</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>