Type

Conference Proceedings

Authors

Harshvardhan Jitendra Pandit
Declan O'Sullivan
David Lewis

Subjects

Computer Science

Topics
data protection semantic web data privacy gdpr policies personal data privacy policy ontology design pattern

An ontology design pattern for describing personal data in privacy policies (2018)

Abstract Privacy 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.
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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