Computing Compliant Anonymisations of Quantified ABoxes w.r.t. ℰℒ Policies (Extended Version)

Research output: Contribution to conferencesPaperContributedpeer-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 languageEnglish
Publication statusPublished - 2 Nov 2020
Peer-reviewedYes

Conference

TitleInternational Semantic Web Conference 2020
SubtitleThe premier international forum for the Semantic Web and Linked Data Community
Abbreviated titleISWC 2020
Conference number19
Duration2 - 6 November 2020
Degree of recognitionInternational event
Locationonline
CityAthens
CountryGreece

External IDs

ORCID /0000-0002-4049-221X/work/142247867
ORCID /0000-0002-9047-7624/work/142251246
ORCID /0000-0003-0219-0330/work/153109383

Keywords