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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston
Anatomy Matching Algorithm
1.Lexical Match
•Normalize string, UMLS dictionary lookup, convert to concept-ID from thesaurus
2.Structure Match
•Similarity(reified nodes)
            = Average(neighbors)
•Back-propagate to neighbors
3.Align Super-classes
•Super-class similarity = average similarity of children, grandchildren, great-grandchildren
•Adds 213 matches (to 3567)
Step 3 is instead of the leaf-matching technique of Cupid, which is too expensive for a model this large.