Refining Ontologies by Pattern-Based Completion

Constructing richly axiomatized ontologies for real-world knowledge-intensive applications is a time-consuming and difficult task. For this reason, the future relevance of ontologies in practice depends on the availability of advanced semi-automatic methods for ontology learning and refinement. In this paper we propose a method to enrich ontologies with complex axiomatic information by completing partial instantiations of ontology design patterns.