Enhancements of anatomical information in UMLS knowledge sources

Abstract

Although anatomical terminology forms a part of biomedical structured vocabularies, available sources lack the requisite granularity, semantic types and relationships for comprehensively and consistently representing anatomical concepts in machine readable form. Thoracic angiology was selected as a proof of concept experiment for in depth representation of symbolic information in gross anatomy through the enhancement of semantic types, concepts and relationships in UMLS. Provided the representation of concepts is comprehensive, hierarchies generated with four types of simple relationships are capable of displaying anatomical information from the systemic view point with sufficient detail to meet the needs of applications in basic science education and in the practice of surgical subspecialties.