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Ontological analysis of SNOMED CT
Gergely Héja1, György Surján, Péter Varga
1National Institute for Strategic Health Research, Arany János utca 6-8, 1051 Budapest, Hungary. heja@eski.hu
BMC Medical Informatics and Decision Making
|November 26, 2008
Summary
Errors in SNOMED CT
Area of Science:
- Medical Informatics
- Ontology Engineering
Background:
- SNOMED CT is a comprehensive medical terminology.
- Its suitability for formal reasoning in intelligent services is uncertain.
Purpose of the Study:
- To analyze the structure of SNOMED CT.
- To identify issues hindering formal reasoning.
Main Methods:
- Analysis of SNOMED CT structure.
- Utilized the formal top-level ontology DOLCE.
Main Results:
- Identified ontological and knowledge-engineering errors.
- Hierarchy errors and mixed subsumption relations ('part of') were significant.
Conclusions:
- These errors prevent effective formal reasoning.
- A method for correcting these issues is proposed.
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