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This adds a new top-level package: `smr_alignment`, which will contain tools for checking for semantic violations of provided data, as well as aligning said data, in accordance to the SMR concept. For now, this adds the `TriangleViolationChecker`, an algorithm suggested by me for finding and repairing *Semantic Similarity Triangle Inequality* violations, e.g. edges in the similarity graph, where: `s(A, C) <= s(A, B) * s(B, C)`.
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This adds a new top-level package:
smr_alignment, which will contain tools for checking for semantic violations of provided data, as well as aligning said data, in accordance to the SMR concept.For now, this adds the
TriangleViolationChecker, an algorithm suggested by me for finding and repairingSemantic Similarity Triangle Inequality violations, e.g. edges in the similarity graph, where:
s(A, C) <= s(A, B) * s(B, C).