Journal article

Ontology quality assurance through analysis of term transformations

Karin Verspoor, Daniel Dvorkin, K Bretonnel Cohen, Lawrence Hunter

BIOINFORMATICS | OXFORD UNIV PRESS | Published : 2009

Abstract

MOTIVATION: It is important for the quality of biological ontologies that similar concepts be expressed consistently, or univocally. Univocality is relevant for the usability of the ontology for humans, as well as for computational tools that rely on regularity in the structure of terms. However, in practice terms are not always expressed consistently, and we must develop methods for identifying terms that are not univocal so that they can be corrected. RESULTS: We developed an automated transformation-based clustering methodology for detecting terms that use different linguistic conventions for expressing similar semantics. These term sets represent occurrences of univocality violations. Ou..

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