The wide-spread use of Common Data Models and information models in biomedical informatics encourages assumptions that those models could provide the entirety of what is needed for knowledge representation purposes. Based on the lack of computable semantics in frequently used Common Data Models, there appears to be a gap between knowledge representation requirements and these models. In this use-case oriented approach, we explore how a system-theoretic, architecture-centric, ontology-based methodology can help to better understand this gap. We show how using the Generic Component Model helps to analyze the data management system in a way that allows accounting for data management procedures inside the system and knowledge representation of the real world at the same time.

1st Medical Faculty Charles University of Prague Czech Republic

Dept of Biomedical Informatics University of Arkansas for Medical Sciences USA

Dept of Health Outcomes and Biomedical Informatics University of Florida USA

eHealth Competence Center Bavaria Deggendorf Institute of Technology Germany

Emerging Pathogens Institute and Dept of Animal Sciences University of Florida USA

Institute of Pathology and Central Biobank University and University Clinic of Regensburg Regensburg Germany

Medical Faculty University of Regensburg Germany

Citace poskytuje Crossref.org

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