title: Characterizing semantic mappings adaptation via biomedical KOS evolution: a case study investigating SNOMED CT and ICD.
abstract: Mappings established between Knowledge Organization Systems (KOS) increase semantic interoperability between biomedical information systems. However, biomedical knowledge is highly dynamic and changes affecting KOS entities can potentially invalidate part or the totality of existing mappings. Understanding how mappings evolve and what the impacts of KOS evolution on mappings are is therefore crucial for the definition of an automatic approach to maintain mappings valid and up-to-date over time. In this article, we study variations of a specific KOS complex change (split) for two biomedical KOS (SNOMED CT and ICD-9-CM) through a rigorous method of investigation for identifying and refining complex changes, and for selecting representative cases. We empirically analyze and explain their influence on the evolution of associated mappings. Results point out the importance of considering various dimensions of the information described in KOS, like the semantic structure of concepts, the set of relevant information used to define the mappings and the change operations interfering with this set of information.
authors.affiliation: CR SANTEC - Public Research Centre Henri Tudor, Esch-sur-Alzette, Luxembourg ; LRI - University of Paris-Sud XI, Orsay, France.
authors.forename: Julio Cesar
authors.initials: JC
authors.lastname: Dos Reis
authors.affiliation: CR SANTEC - Public Research Centre Henri Tudor, Esch-sur-Alzette, Luxembourg.
authors.forename: Cédric
authors.initials: C
authors.lastname: Pruski
authors.affiliation: CR SANTEC - Public Research Centre Henri Tudor, Esch-sur-Alzette, Luxembourg.
authors.forename: Marcos
authors.initials: M
authors.lastname: Da Silveira
authors.affiliation: LRI - University of Paris-Sud XI, Orsay, France.
authors.forename: Chantal
authors.initials: C
authors.lastname: Reynaud-Delaître
mesh_terms: D063025:Health Information Management; D038801:International Classification of Diseases; D051188:Knowledge Bases; D012660:Semantics; D039061:Systematized Nomenclature of Medicine