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The difficulty inherent in schema matching has led
to the development of several generic match algorithms.
This paper describes how we adapted general
approaches to the specific task of aligning two ontologies
of human anatomy, the Foundational Model of
Anatomy and the GALEN Common Reference Model.
Our approach consists of three phases: lexical, structural
and hierarchical, which leverage different aspects
of the ontologies as they are represented in a
generic meta-model. Lexical matching identifies concepts
with similar names. Structural matching identifies
concepts whose neighbors are similar. Finally,
hierarchical matching identifies concepts with similar
descendants. We conclude by reporting on the lessons