To remove this bottleneck, researchers have explored alternative ways to automatically create labeled data and learn models from such potentially noisy labels (Dalvi et al., 2011;Gentile et al., 2015;Furche et al., 2014;Lockard et al., 2018).
these approaches cannot find triples for predicates that are not in the seed ontology.