Checking and repairing ontological naming patterns using ORE and PatOMat

Analysis of the naming of entities across ontological structures can help reveal both naming issues and underlying conceptualization issues. Cross-entity naming analysis thus extends the standard logical satisfiability checking by an extra, less rigorous and reliable but often farther reaching layer. We show how such naming patterns can be applied within the transformation pattern paradigm used by the PatOMat transformation framework. We describe how the PatOMat tool has been integrated into the (logic-oriented) Ontology Repair and Enrichment tool (ORE), and present the results of application of a prominent naming pattern, ‘non-matching child’, on a collection of linked data vocabularies.