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There are some great polar graph algorithms for this kind of stuff!
Look for n-cycles with all equivalent but one not-equivalent relation
Triangles and other cliques mean the same relation was curated many times. For each component, calculate the "density" and assign to all relations
Could namespace pairs have a prior confidence? Are there pairs of namespaces we expect don't go together, and therefore should have lower confidence in mappings?
Do more curation for a curator consensus (2 curators agree -> great!, 2 curators disagree -> not so much)
Look in connected components for the same namespace appearing twice
The text was updated successfully, but these errors were encountered:
There are some great polar graph algorithms for this kind of stuff!
The text was updated successfully, but these errors were encountered: