Ontology Coverage Check: support for evaluation in ontology engineering
Viktoria Pammer‐Schindler, Peter Scheir, Stefanie Lindstaedt
Abstract
Viktoria Pammer‐Schindler, Peter Scheir, Stefanie Lindstaedt
Abstract
Support for the process of ontology engineering is needed in order to reduce the effort still necessary to build an ontology. Some can be given by facilitated evaluation of the ontology under development. To that purpose we present an automated method that supports data driven ontology evaluation by checking to what extent the concepts and axioms of the ontology under evaluation are covered by a given set of individuals (data). We applied the here presented ontology coverage check (OCC) to various ontolo-gies and will report on the results. The results highlight not only the potential of OCC but also some characteristics of ontologies currently available to the public.
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Support for the process of ontology engineering is needed in order to reduce the effort still necessary to build an ontology. Some can be given by facilitated evaluation of the ontology under development. To that purpose we present an automated method that supports data driven ontology evaluation by checking to what extent the concepts and axioms of the ontology under evaluation are covered by a given set of individuals (data). We applied the here presented ontology coverage check (OCC) to various ontolo-gies and will report on the results. The results highlight not only the potential of OCC but also some characteristics of ontologies currently available to the public.
Key concepts: Ontology, Ontology-based data integration, Process ontology, Computer science, Suggested Upper Merged Ontology, Upper ontology, Ontology engineering, Ontology alignment