Establishing semantic interoperability of biomedical metadata registries using extended semantic relationships.
Achieving semantic interoperability is critical for biomedical data sharing between individuals, organizations and systems. The ISO/IEC 11179 MetaData Registry (MDR) standard has been recognized as one of the solutions for this purpose. The standard model, however, is limited. Representing concepts consist of two or more values, for instance, are not allowed including blood pressure with systolic and diastolic values. We addressed the structural limitations of ISO/IEC 11179 by an integrated metadata object model in our previous research. In the present study, we introduce semantic extensions for the model by defining three new types of semantic relationships; dependency, composite and variable relationships. To evaluate our extensions in a real world setting, we measured the efficiency of metadata reduction by means of mapping to existing others. We extracted metadata from the College of American Pathologist Cancer Protocols and then evaluated our extensions. With no semantic loss, one third of the extracted metadata could be successfully eliminated, suggesting better strategy for implementing clinical MDRs with improved efficiency and utility.
Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics.
Yu Rang
YR
Park
Young Jo
YJ
Yoon
Hye Hyeon
HH
Kim
Ju Han
JH
Kim
D064229:Biological Ontologies; D006801:Humans; D016247:Information Storage and Retrieval / Q000592:standards*; D008495:Medical Oncology / Q000592:standards*; D008498:Medical Record Linkage / Q000592:standards*; D009323:Natural Language Processing; D009369:Neoplasms / Q000473:pathology*; D017410:Practice Guidelines as Topic; D012042:Registries / Q000592:standards*; D012660:Semantics