A Similarity Based Approach to Omission Finding in Ontologies

With the growing interest in using ontologies in semantically-enabled applications, the interest in enhancing the quality of such ontologies has grown as well. Standard reasoning services focus on certain obvious dimensions of quality, e.g., to detect inconsistencies and incoherence. In addition, bespoke tools have been presented to address the completeness dimension of quality, e.g., missing entailments. These tools are usually focused on very restricted subsets of all the possible missing entailments, i.e., only atomic subsumptions. We present a new protocol to detect both existing invalid entailments and missing valid entailments. We also present a case study to evaluate the usefulness of the presented protocol for ontology validation purposes.