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

TL;DR

This paper introduces a black-box testing approach for FOL ontologies using WordNet, enabling automated evaluation of ontology competency and ATP performance for improved commonsense reasoning.

Contribution

It presents a novel methodology leveraging WordNet for semi-automatic benchmark creation and automated testing of FOL ontologies with ATPs.

Findings

Effective evaluation of SUMO translations into FOL

Assessment of ATP performance on benchmark questions

Detailed analysis of current FOL ontology reasoning competency

Abstract

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