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dc.contributor.authorLewis, David
dc.contributor.authorO'Sullivan, Declan
dc.contributor.authorPANDIT, HARSHVARDHAN JITENDRA
dc.date.accessioned2020-02-17T17:04:44Z
dc.date.available2020-02-17T17:04:44Z
dc.date.created9/9/2018en
dc.date.issued2018
dc.date.submitted2018en
dc.identifier.citationPandit, H.J., O'Sullivan, D. & Lewis, D., An ontology design pattern for describing personal data in privacy policies, 9th Workshop on Ontology Design and Patterns (WOP2018), International Semantic Web Conference (ISWC), Monteray, Ca, USA, 9/9/2018, 2195, 2018, 29-39en
dc.identifier.otherY
dc.identifier.urihttp://ceur-ws.org/Vol-2195/pattern_paper_3.pdf
dc.identifier.urihttp://hdl.handle.net/2262/91555
dc.description.abstractPrivacy laws such as the General Data Protection Regulation (GDPR) specify several obligations involving personal data. A privacy policy is a document that provides information for legal compliance on how personal data is collected, used, stored, and shared, which is essential for understanding their privacy implications. Approaches such as the Us- ablePrivacy project that extract information from the text of the privacy policy need to structure it in a manner suitable for machine processing. Semantic web has been proven to be suitable to represent this knowledge as a set of queryable concepts and relationships. However, there is a large overlap between different projects and approaches targeting the privacy policy that does not take advantage of the significant similarity of its underlying information. We present an ontology design pattern to aid these efforts in representing and modelling information related to per- sonal data within a privacy policy. The pattern aims to assist the existing ecosystem of machine-based approaches for interpretation and visualisa- tion of privacy policies by providing a common structured representation to ease modelling and sharing of related information.en
dc.format.extent29-39en
dc.language.isoenen
dc.relation.ispartofseries2195;
dc.rightsYen
dc.subjectOntology design patternen
dc.subjectPersonal dataen
dc.subjectPrivacy policyen
dc.subjectGDPRen
dc.titleAn ontology design pattern for describing personal data in privacy policiesen
dc.title.alternative9th Workshop on Ontology Design and Patterns (WOP2018), International Semantic Web Conference (ISWC)en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/pandith
dc.identifier.peoplefinderurlhttp://people.tcd.ie/delewis
dc.identifier.peoplefinderurlhttp://people.tcd.ie/osulldps
dc.identifier.rssinternalid193165
dc.rights.ecaccessrightsopenAccess
dc.relation.sourcePrivacyPolicyPersonalData Ontology Design Pattern (ODP)en
dc.relation.sourceurihttp://ontologydesignpatterns.org/wiki/Submissions:PrivacyPolicyPersonalDataen
dc.identifier.orcid_id0000-0002-5068-3714


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