Formative evaluation of a frame-based model of locative relationships in human anatomy.
The verb structure of narrative text in a gross anatomy textbook was analyzed to identify locative relationships. The 169 locative indicators were organized semantically to construct a frame-based model. The validity and coverage of the model was assessed and compared with the UMLS Semantic Net Relations using a novel test set of 71 indicators. All mapped directly to the frame model, while 60% mapped directly to UMLS.
Bean
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CA
Department of Medical Informatics, Columbia University College of Physicians and Surgeons, USA.
D000715:Anatomy / Q000145:classification*; D006801:Humans; D008962:Models, Theoretical; D012660:Semantics; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled