Controlled Query Evaluation for Datalog and OWL 2 Profile Ontologies
This addresses privacy protection in knowledge bases for users and systems, but appears incremental as it applies an existing framework to specific ontology languages.
The paper tackled confidentiality enforcement in ontologies by studying Controlled Query Evaluation to prevent sensitive information disclosure while maximizing information access, focusing on Datalog and OWL 2 profile languages.
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.