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Artificial Intelligence aims to provide computer programs with commonsenseknowledge to reason about our world. This paper offers a new practical approachtowards automated commonsense reasoning with first-order logic (FOL)ontologies. We propose a new black-box testing methodology of FOL SUMO-basedontologies by exploiting WordNet and its mapping into SUMO. Our proposalincludes a method for the (semi-)automatic creation of a very large benchmarkof competency questions and a procedure for its automated evaluation by usingautomated theorem provers (ATPs). Applying different quality criteria, ourtesting proposal enables a successful evaluation of a) the competency ofseveral translations of SUMO into FOL and b) the performance of variousautomated ATPs. Finally, we also provide a fine-grained and complete analysisof the commonsense reasoning competency of current FOL SUMO-based ontologies.

Black-box Testing of First-Order Logic Ontologies Using WordNet