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Privacy Preference Ontology

From Data Privacy Vocabularies and Controls Community Group

Privacy Preference Ontology

   An ontology to create privacy preferences for Linked Data.

The Privacy Preference Ontology (PPO) is a light-weight Attribute-based Access Control (ABAC) vocabulary that allows users to describe fine-grained privacy preferences for restricting or granting access to non-domain specific Linked Data elements, such as Social Semantic Data. Among other use-cases, PPO can be used to restrict part of FOAF profiles records only to users that have specific attributes. It provides a machine-readable way to define settings such as "Provide my personal phone number only to my family or "Grant write access to my technical blog only to my co-workers

  • domain: privacy preferences, linked data, social network
  • creators/authors:
    • Alexandre Passant (DERI, NUI Galway)
    • Owen Sacco (DERI, NUI Galway)
  • license - N/A
  • url link: http://vocab.deri.ie/ppo#
  • documentation: http://vocab.deri.ie/ppo#
  • publication(s): Sacco O., Passant A. 2011. A Privacy Preference Ontology (PPO) for Linked Data. In: Proceedings of the Linked Data on the Web Workshop. LDOW2011.
Passant A., Anaya J., Sacco O. 2011. Privacy-by-design in Federated Social Web applications. In: Proceedings of the International Conference on Web Science. ACM WebSci’11.

Relevance

  • Origin: DERI, Galway
  • Developed since: 2011
  • Latest version: 13 November 2013


Covered Requirements

  • Taxonomy of regulatory privacy terms (including all GDPR terms): No
  • Taxonomy for personal data: No
  • Taxonomy of purposes: No
  • Taxonomy of disclosure: May be applicable
  • Metadata related to the details of anonymisation: No
  • Log vocabularies for immutably and securely recording: No
    • disclosure of consent:
    • revocation of consent
    • policy changes
    • transparency
  • Taxonomy of linkage operations: No
  • Taxonomies of human behavior: No

Uptake and Covered Use-cases

The listed publication describes a use-case for sharing data in social networks which might be relevant.

List and cross-reference the use cases in the Use cases section: N/A

Terms and Concepts

N/A