Ontology evaluation algorithms for extended error taxonomy and their application on well-known ontologies

Ontology evaluation is an integral part of the ontology development process. Errors in ontology create serious problems for the information system based on it. To our surprise, the existing systems are unable to identify most of the errors. We evaluate some well known ontologies against the published error taxonomy and describe our algorithms to evaluate ontologies. The target errors include circulatory errors in class and property hierarchy, common class and property in disjoint decomposition, redundancy of sub class and sub property, redundancy of disjoint relation and disjoint knowledge omission. For the implementation, ontologies are indexed using a variant of already proposed and published scheme Ontrel. In addition to the previous errors taxonomy, the algorithms also cover recently extended error taxonomy. We evaluate our algorithms for performance and report errors detected in well known ontologies including Gene Ontology (GO), WordNet Ontology, OntoSem Ontology. -- Ontology evaluation ; ontological engineering ; knowledge engineering ; knowledge modelling ; semantic computing ; information systems applications