Analyzing the Evolution of Semantic Correspondences between SNOMED CT and ICT-9-CM

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 [Kalchesbrëck]
2 LaHDAK - LRI - Données et Connaissances Massives et Hétérogènes (LRI)

The combined use of Knowledge Organizations Systems (KOS) including ontologies, terminologies or codification schemas has widespread in e-health systems over the past decades due to semantic interoperability reasons. However, the dynamic aspect of KOS forces knowledge engineers to maintain KOS elements, as well as semantic correspondences between KOS up-to-date. This is crucial to keep the underlying systems exploiting these KOS consistent over time. In this paper we provide a pragmatic analysis of the evolution of mappings between SNOMED CT and ICD-9-CM affected by the evolution of these two KOS.

Domaines: Intelligence artificielle [cs.AI]

Julio Cesar dos Reis, Cédric Pruski, Marcos da Silveira, Chantal Reynaud-Delaître. Analyzing the Evolution of Semantic Correspondences between SNOMED CT and ICT-9-CM. Med@Tel - The International eHealth, Telemedecine and Health ICT Forum For Education, Networking and Business, Apr 2013, Luxembourg, Luxembourg. ⟨hal-00832648⟩