Inkyung Choi
Sungkyunkwan University
About the Lab
Professor Inkyung Choi's research lab specializes in advancing data interoperability and semantic standardization in biomedical and clinical data science. The lab focuses on developing and validating application profiles—such as the FAIR-MIND Application Profile (v3)—that map clinical, biomarker, medication, and provenance data to formal ontologies (e.g., SNOMED CT, EFO, PROV-O, CHEBI) for enhanced FAIR (Findable, Accessible, Interoperable, Reusable) data management. Through rigorous validation using SHACL and SPARQL competency questions, the lab ensures machine-readability and query expressiveness in large-scale datasets like MIMIC-IV-ECG. Their work bridges clinical informatics, ontology engineering, and health data integration to support reproducible and scalable biomedical research.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
3OWL/Turtle serialisation of the FAIR-MIND Application Profile (AP v3), mapping 39 variables across four layers — Clinical (SNOMED CT), Biomarkers (EFO, NCIT, FAIR-MIND), Provenance (PROV-O, LOINC), and Medications (CHEBI, MeSH) — to formal ontology terms. Includes SHACL validation shapes (7 shapes, 0 violations) and SPARQL competency question validation (10/10 CQs passing). Validated on MIMIC-IV-ECG subset (~290,000 ECG records).
OWL/Turtle serialisation of the FAIR-MIND Application Profile (AP v3), mapping 39 variables across four layers — Clinical (SNOMED CT), Biomarkers (EFO, NCIT, FAIR-MIND), Provenance (PROV-O, LOINC), and Medications (CHEBI, MeSH) — to formal ontology terms. Includes SHACL validation shapes (7 shapes, 0 violations) and SPARQL competency question validation (10/10 CQs passing). Validated on MIMIC-IV-ECG subset (~290,000 ECG records).
OWL/Turtle serialisation of the FAIR-MIND Application Profile (AP v3), mapping 39 variables across four layers — Clinical (SNOMED CT), Biomarkers (EFO, NCIT, FAIR-MIND), Provenance (PROV-O, LOINC), and Medications (CHEBI, MeSH) — to formal ontology terms. Includes SHACL validation shapes (7 shapes, 0 violations) and SPARQL competency question validation (10/10 CQs passing). Validated on MIMIC-IV-ECG subset (~290,000 ECG records).
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