title: The influence of similarity between concepts in evolving biomedical ontologies for mapping adaptation.
abstract: Biomedical ontologies continuously evolve which demands maintain associated mappings up-to-date. This article studies whether similarity calculated between values of concept attributes issued from successive ontology versions plays a role in deciding mapping adaptation actions. We empirically analyse the evolution of official mappings established between large biomedical ontologies. The results point out the relevance of this factor for mapping adaptation.
authors.affiliation: Public Research Centre Henri Tudor, Luxembourg.
authors.forename: Julio Cesar
authors.initials: JC
authors.lastname: Dos Reis
authors.affiliation: Public Research Centre Henri Tudor, Luxembourg.
authors.forename: Duy
authors.initials: D
authors.lastname: Dinh
authors.affiliation: Public Research Centre Henri Tudor, Luxembourg.
authors.forename: Cédric
authors.initials: C
authors.lastname: Pruski
authors.affiliation: Public Research Centre Henri Tudor, Luxembourg.
authors.forename: Marcos
authors.initials: M
authors.lastname: Da Silveira
authors.affiliation: LRI, University of Paris-Sud XI, France.
authors.forename: Chantal
authors.initials: C
authors.lastname: Reynaud-Delaître
mesh_terms: D001185:Artificial Intelligence; D064229:Biological Ontologies; D038801:International Classification of Diseases; D062527:Meaningful Use; D046650:Medical Subject Headings; D009323:Natural Language Processing; D012660:Semantics; D039061:Systematized Nomenclature of Medicine; D014175:Translating