Algorithms for the Evaluation of Ontologies for Extended Error Taxonomy and their Application on Large Ontologies
Najmul Ikram Qazi (Mohammad Ali Jinnah University, Pakistan)
Muhammad Abdul Qadir (Mohammad Ali Jinnah University, Pakistan)
Abstract: Ontology evaluation is an integral and important part of the ontology development process. Errors in ontologies could be catastrophic for the information system based on those ontologies. As per our experiments, the existing ontology evaluation systems were unable to detect many errors (like, circulatory error 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) as defined in the error taxonomy. We have formulated efficient algorithms for the evaluation of these and other errors as per the extended error taxonomy. These algorithms are implemented (named as OntEval) and the implementations are used to evaluate well-known ontologies including Gene Ontology (GO), WordNet Ontology and OntoSem. The ontologies are indexed using a variant of already proposed scheme Ontrel. A number of errors and warnings in these ontologies have been discovered using the OntEval. We have also reported the performance of our implementation, OntEval.
Keywords: information systems applications, knowledge engineering, knowledge modelling, ontological engineering, ontology evaluation, semantic computing
Categories: H.3, H.4, M.1, M.2, M.3