Controlled Query Evaluation for Datalog and OWL 2 Profile Ontologies

TL;DR

This paper explores confidentiality enforcement in ontologies using Controlled Query Evaluation, ensuring sensitive information is protected while maximizing accessible data in Datalog and OWL 2 profile ontologies.

Contribution

It introduces a framework for confidentiality enforcement in ontologies, specifically addressing Datalog and OWL 2 profiles, balancing security and information access.

Findings

Developed censors that prevent sensitive info disclosure.

Achieved maximal information access without compromising confidentiality.

Extended the framework to both Datalog and OWL 2 profiles.

Abstract

We study confidentiality enforcement in ontologies under the Controlled Query Evaluation framework, where a policy specifies the sensitive information and a censor ensures that query answers that may compromise the policy are not returned. We focus on censors that ensure confidentiality while maximising information access, and consider both Datalog and the OWL 2 profiles as ontology languages.