Understanding semantic mapping evolution by observing changes in biomedical ontologies

Julio Cesar dos Reis (1, 2) , Cédric Pruski (1) , Marcos da Silveira (1) , Chantal Reynaud-Delaître (2)

1 CRP Henri Tudor - Centre de Recherche Public Henri Tudor [Technoport]
2 LaHDAK - LRI - Données et Connaissances Massives et Hétérogènes (LRI)

Knowledge Organization Systems (KOSs) are extensively used in the biomedical domain to support information sharing between software applications. KOSs are proposed covering different, but overlapping subjects, and mappings indicate the semantic relation between concepts from two KOSs. Over time, KOSs change as do the mappings between them. This can result from a new discovery or a revision of existing knowledge which includes corrections of concepts or mappings. Indeed, changes affecting KOS entities may force the underline mappings to be updated in order to ensure their reliability over time. To tackle this open research problem, we study how mappings are affected by KOS evolution. This article presents a detailed descriptive analysis of the impact that changes in KOS have on mappings. As a case study, we use the official mappings established between SNOMED CT and ICD-9-CM from 2009 to 2011. Results highlight factors according to which KOS changes in varying degrees influence the evolution of mappings.

Domaines: Intelligence artificielle [cs.AI]

Julio Cesar dos Reis, Cédric Pruski, Marcos da Silveira, Chantal Reynaud-Delaître. Understanding semantic mapping evolution by observing changes in biomedical ontologies. Journal of Biomedical Informatics, 2014, 47, pp.71-82. ⟨hal-01020694⟩