title: Lessons learned from cross-validating alignments between large anatomical ontologies.
abstract: OBJECTIVE
  To compare the alignments of two large anatomical ontologies (the Foundational Model of Anatomy and GALEN) produced by three ontology alignment systems (AOAS, FALCON and PRIOR) in the framework of the Ontology Alignment Evaluation Initiative during its 2006 campaign.
  
  
  METHODS
  Number of mappings identified by AOAS: 3,132, FALCON: 2,518 and PRIOR: 2,589.
  
  
  METHODS
  Three approaches to analyzing and comparing the results were utilized: computing the overlap among result files, manual review of some 2,000 mappings and structural validation.
  
  
  CONCLUSIONS
  The generic systems FALCON and PRIOR identify many false positives and false negatives. With a stricter and domain-specific lexical similarity model, AOAS has a better precision, but is more sensitive to missing synonyms and misspellings.
authors.affiliation: Institute of Mathematics, Academy of Mathematics and Systems Science Chinese Academy of Sciences, Beijing, PR China.
authors.forename: Songmao
authors.initials: S
authors.lastname: Zhang
authors.forename: Olivier
authors.initials: O
authors.lastname: Bodenreider
mesh_terms: D000715:Anatomy / Q000145:classification*; D006801:Humans; D018875:Vocabulary, Controlled