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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
Understanding semantic mapping evolution by observing changes in biomedical ontologies
Julio Cesar dos Reis1, Cédric Pruski2, Marcos Da Silveira2
1Resource Centre for Health Care Technologies (CR SANTEC), Public Research Centre Henri Tudor, 6 avenue des Hauts-fourneaux, L-4362 Esch-sur-Alzette, Luxembourg; Laboratory for Computer Science (LRI), University of Paris-Sud XI, Bât 650, 91405 Orsay Cedex, France.
Abstract:
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.
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