Abstract Errors in Description Logic (DL) ontologies are often detected when a reasoner
computes unwanted consequences. The question is then how to repair the ontology such …

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 …

Abstract Ontologies based on Description Logics may contain errors, which are usually
detected when reasoning produces consequences that follow from the ontology, but do not …

Abstract Ontologies based on Description Logic (DL) represent general background
knowledge in a terminology (TBox) and the actual data in an ABox. Both human-made and …

In previous work, we have investigated privacy-preserving publishing of Description Logic
(DL) ontologies in a setting where the knowledge about individuals to be published is an EL …

This work is initially motivated by a privacy scenario in which the confidential information
about persons or its properties formulated in description logic (DL) ontologies should be …

Abstract Unification in Description Logics (DLs) has been proposed as an inference service
that can, for example, be used to detect redundancies in ontologies. For the DL EL, which is …