OBJECTIVE: This paper reports on the alignment between two large ontologies of anatomy: the Foundational Model of Anatomy (FMA) and the representation of anatomical structures in SNOMED CT. The objective of this study is to investigate the compatibility between a reference ontology of anatomy (the FMA, 75,019 concepts) and a representation of anatomy created for use in clinical applications (SNOMED CT, 30,933 anatomical concepts). METHODS: The alignment first identifies shared concepts lexically. The presence of shared relations across ontologies is then used to validate the mappings structurally. RESULTS: 8,228 mappings were identified by lexical methods, of which over 97% were supported by structural evidence. No evidence was found for 0.5% of the mappings and 2.5% received negative evidence. CONCLUSIONS: Despite important differences in coverage and knowledge representation between the FMA and SNOMED CT, we have not noticed any major discrepancies in their representation of anatomical entities.
OBJECTIVE: This paper reports on the alignment between two large ontologies of anatomy: the Foundational Model of Anatomy (FMA) and the representation of anatomical structures in SNOMED CT. The objective of this study is to investigate the compatibility between a reference ontology of anatomy (the FMA, 75,019 concepts) and a representation of anatomy created for use in clinical applications (SNOMED CT, 30,933 anatomical concepts). METHODS: The alignment first identifies shared concepts lexically. The presence of shared relations across ontologies is then used to validate the mappings structurally. RESULTS: 8,228 mappings were identified by lexical methods, of which over 97% were supported by structural evidence. No evidence was found for 0.5% of the mappings and 2.5% received negative evidence. CONCLUSIONS: Despite important differences in coverage and knowledge representation between the FMA and SNOMED CT, we have not noticed any major discrepancies in their representation of anatomical entities.
Authors: Dmitrii Travin; Iaroslav Popov; Arzu Tugce Guler; Dmitry Medvedev; Suzanne van der Plas-Duivesteijn; Monica Varela; Iris C R M Kolder; Annemarie H Meijer; Herman P Spaink; Magnus Palmblad Journal: J Proteome Res Date: 2017-11-13 Impact factor: 4.466
Authors: Anton Oscar Beitia; Tina Lowry; Daniel J Vreeman; George T Loo; Bradley N Delman; Frederick L Thum; Benjamin H Slovis; Jason S Shapiro Journal: JMIR Med Inform Date: 2017-12-14