A relation-centric query engine for the Foundational Model of Anatomy.
The Foundational Model of Anatomy (FMA), a detailed representation of the structural organization of the human body, was constructed to support the development of software applications requiring knowledge of anatomy. The FMA's focus on the structural relationships between anatomical entities distinguishes it from other current anatomical knowledge sources. We developed Emily, a query engine for the FMA, to enable users to explore the richness and depth of these relationships. Preliminary analysis suggests that Emily is capable of correctly processing real world anatomical queries provided they have been translated into a constrained form suitable for processing by the query engine.
Detwiler
Landon T
LT
Structural Informatics Group, University of Washington, Seattle, WA 98195, USA.
Chung
Emily
E
Li
Ann
A
Mejino
José L V
JL
Agoncillo
Augusto
A
Brinkley
James
J
Rosse
Cornelius
C
Shapiro
Linda
L
D000715:Anatomy / Q000145:classification*; D001185:Artificial Intelligence; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D008953:Models, Anatomic; D014584:User-Computer Interface; D018875:Vocabulary, Controlled