We review our recent work on how to compute optimal repairs, optimal compliant anonymizations, and optimal safe anonymizations of ABoxes containing possibly anonymized individuals. The results can be used both to remove erroneous consequences from a knowledge base and to hide secret information before publication of the knowledge base, while keeping as much as possible of the original information.
Baader, F., Koopmann, P., Kriegel, F., Nuradiansyah, A., Penaloza, R. (2021). Privacy-Preserving Ontology Publishing: The Case of Quantified ABoxes w.r.t. A Static Cycle-Restricted EL TBox?. In CEUR Workshop Proceedings. CEUR-WS.
Privacy-Preserving Ontology Publishing: The Case of Quantified ABoxes w.r.t. A Static Cycle-Restricted EL TBox?
Penaloza R.
2021
Abstract
We review our recent work on how to compute optimal repairs, optimal compliant anonymizations, and optimal safe anonymizations of ABoxes containing possibly anonymized individuals. The results can be used both to remove erroneous consequences from a knowledge base and to hide secret information before publication of the knowledge base, while keeping as much as possible of the original information.
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