Privacy-Preserving Ontology Publishing for 𝓔𝓛 Instance Stores

Research output: Contribution to book/conference proceedings/anthology/report β€Ί Conference contribution β€Ί Contributed β€Ί peer-review

Contributors

Abstract

We make a first step towards adapting an existing approach for privacy-preserving publishing of linked data to Description Logic (DL) ontologies. We consider the case where both the knowledge about individuals and the privacy policies are expressed using concepts of the DL 𝓔𝓛, which corresponds to the setting where the ontology is an 𝓔𝓛 instance store. We introduce the notions of compliance of a concept with a policy and of safety of a concept for a policy, and show how optimal compliant (safe) generalizations of a given 𝓔𝓛 concept can be computed. In addition, we investigate the complexity of the optimality problem.

Details

Original languageEnglish
Title of host publication16th European Conference on Logics in Artificial Intelligence, JELIA 2019, Rende, Italy, May 7-11, 2019, Proceedings
EditorsFrancesco Calimeri, Nicola Leone, Marco Manna
PublisherSpringer, Berlin [u. a.]
Pages323-338
Number of pages16
Publication statusPublished - 7 May 2019
Peer-reviewedYes

Publication series

SeriesLecture Notes in Computer Science, Volume 11468
ISSN0302-9743

External IDs

ORCID /0000-0002-4049-221X/work/142247863
ORCID /0000-0002-9047-7624/work/142251243
ORCID /0000-0003-0219-0330/work/153109375

Keywords

Library keywords