OWL 2 DL ontology inconsistencies prediction
Leila Bayoudhi, Najla Sassi, Wassim Jaziri · 2017
When using ontology in dynamic environments, we should adapt it accordingly to follow the new requirements. Ontology should remain in a consistent state after changes. Otherwise, ontology inconsistency would be propagated to the dependent artifacts and may engender serious errors. This issue is addressed in this paper, by proposing an a priori repair action to prevent inconsistencies when updating OWL 2 DL ontologies. Predictive algorithms are defined to foresee the potential inconsistencies and to keep the ontology logically consistent, free of syntactical invalidities and style issues after each change.