title: Challenges in precisely aligning models of human anatomy using generic schema matching.
abstract: This paper describes how we used generic schema matching algorithms to align the Foundational Model of Anatomy (FMA) and the GALEN Common Reference Model (CRM), two large models of human anatomy. We summarize the generic schema matching algorithms we used to identify correspondences. We present sample results that highlight the similarities and differences between the FMA and the CRM. We also identify uses of aggregation, transitivity, and reification, for which generic schema matching fails to produce an accurate mapping and present manually constructed solutions for them.
authors.affiliation: Microsoft Research, Redmond, WA, USA. pmork@cs.washington.edu
authors.forename: Peter
authors.initials: P
authors.lastname: Mork
authors.forename: Rachel
authors.initials: R
authors.lastname: Pottinger
authors.forename: Philip A
authors.initials: PA
authors.lastname: Bernstein
mesh_terms: D000465:Algorithms; D000715:Anatomy / Q000145:classification*; D019992:Databases as Topic; D006801:Humans; D016247:Information Storage and Retrieval; D008953:Models, Anatomic; D018875:Vocabulary, Controlled