I was reading through the schema matching workflow and wondered whether similarity aggregation becomes unstable when certain attributes dominate alignment decisions due to uneven metadata richness.
It seems small post-score calibration steps could potentially improve consistency without modifying earlier matching components.
I was reading through the schema matching workflow and wondered whether similarity aggregation becomes unstable when certain attributes dominate alignment decisions due to uneven metadata richness.
It seems small post-score calibration steps could potentially improve consistency without modifying earlier matching components.