Consent-aware Mapping Engine for Generating Policy-compliant Datasets

ADAPT Centre

Abstract—The development of intelligent (machine learning or AI-based) applications increasingly require governance models and processes, as financial legal sanctions are more and more being associated with violation of policies (e.g. due to GDPR). An ontology representing the (informed) consent that was captured by an organization can be used to assess a dataset prior its use in any type of data processing activities. We demonstrate the utility using a particular scenario, where datasets are generated “just in time” for a particular purpose such as sending newsletters. This scenario shows how data processing activities can be managed to in such a way as to support compliance verification.


  1. Consent ontology
  2. Synthetic data (MySQL dump)
  3. R2RML mapping from database (2) to ontology (1)
  4. Result of executing (3)