Computing Compliant Anonymisations of Quantified ABoxes w.r.t. ℰℒ Policies (Extended Version)
Research output: Contribution to conferences › Paper › Contributed › peer-review
Contributors
Abstract
We adapt existing approaches for privacy-preserving publishing of linked data to a setting where the data are given as Description Logic (DL) ABoxes with possibly anonymised (formally: existentially quantified) individuals and the privacy policies are expressed using sets of concepts of the DL 𝓔𝓛. We provide a chacterization of compliance of such ABoxes w.r.t. 𝓔𝓛 policies, and show how optimal compliant anonymisations of ABoxes that are non-compliant can be computed. This work extends previous work on privacy-preserving ontology publishing, in which a very restricted form of ABoxes, called instance stores, had been considered, but restricts the attention to compliance. The approach developed here can easily be adapted to the problem of computing optimal repairs of quantified ABoxes.
Details
Original language | English |
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Publication status | Published - 2 Nov 2020 |
Peer-reviewed | Yes |
Conference
Title | International Semantic Web Conference 2020 |
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Subtitle | The premier international forum for the Semantic Web and Linked Data Community |
Abbreviated title | ISWC 2020 |
Conference number | 19 |
Duration | 2 - 6 November 2020 |
Degree of recognition | International event |
Location | online |
City | Athens |
Country | Greece |
External IDs
ORCID | /0000-0002-4049-221X/work/142247867 |
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ORCID | /0000-0002-9047-7624/work/142251246 |
ORCID | /0000-0003-0219-0330/work/153109383 |