- AutorIn
- Franz Baader
- Francesco Kriegel
- Adrian Nuradiansyah
- Titel
- Privacy-Preserving Ontology Publishing for EL Instance Stores
- Untertitel
- Extended Version
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-796130
- Schriftenreihe
- LTCS-Report
- Bandnummer
- 19-01
- Erstveröffentlichung
- 2019
- DOI
- https://doi.org/10.25368/2022.250
- Abstract (EN)
- We make a first step towards adapting an existing approach for privacypreserving 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.
- Freie Schlagwörter (DE)
- Subsumtion, EL-Konzept, Beschreibungslogik, Ontologienveröffentlichung unter Wahrung der Privatsphäre
- Freie Schlagwörter (EN)
- subsumption, EL-concept, description logic, privacy-preserving ontology publishing
- Klassifikation (DDC)
- 004
- Klassifikation (RVK)
- ST 136
- Publizierende Institution
- Technische Universität Dresden, Dresden
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-796130
- Veröffentlichungsdatum Qucosa
- 20.06.2022
- Dokumenttyp
- Bericht
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0