TRAINING A KNOWLEDGE GRAPH ALIGNMENT MODEL BASED ON PREDICTED ALIGNMENT PROBABILITIES AND ALIGNMENT DIFFICULTY DEGREES OF ENTITY PAIRS
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United States of America Patent
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Mar 30, 2023
app pub date -
Nov 21, 2022
filing date -
Nov 21, 2022
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Abstract
A method for training a knowledge graph alignment model includes selecting first candidate entity pairs from first entity pairs based on a predicted alignment probability of each of the first entity pairs, and calculating an alignment difficulty degree of each of the first candidate entity pairs. The method further includes selecting first target entity pairs from the first candidate entity pairs based on the alignment difficulty degree of each of the first candidate entity pairs, acquiring a labeled alignment result of each of the first target entity pairs, and obtaining a trained knowledge graph alignment model according to the predicted alignment probability and the labeled alignment result of each of the first target entity pairs.
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