Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
Bioinformatics and biological reality
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
From concepts to clinical reality: an essay on the benchmarking of biomedical terminologies
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
In situ migration of handcrafted ontologies to reason-able forms
Data & Knowledge Engineering
Proceedings of the 2008 conference on Formal Ontology in Information Systems: Proceedings of the Fifth International Conference (FOIS 2008)
Towards A Realism-Based Metric for Quality Assurance in Ontology Matching
Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)
OntOWLClean: Cleaning OWL ontologies with OWL
Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)
Guest Editorial: Special Issue on Auditing of Terminologies
Journal of Biomedical Informatics
Ontological realism: Methodology or misdirection?
Applied Ontology
Ontological realism: Methodology or misdirection?
Applied Ontology
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Evolutionary Terminology Auditing (ETA) is a novel way to assess the quality of terminologies using reality as benchmark. The key idea is that terms added to each new version of a terminology reflect unjustified absences and terms that are deleted unjustified presences in previous versions of the terminology. The method requires that terminology authors not only keep track of changes in successive versions, but also motivate the changes introduced. In this paper, we report on how our method has been applied to the Gene Ontology (GO), a collection of three structured, controlled vocabularies for use in annotating genes, gene products and sequences. We demonstrate that even where the basic requirements for its application are only partially satisfied, the approach can still yield results which are useful for quantifying and forecasting the evolution of a terminology's quality over time.