PSL isn't magic. It's just a way to do reasoning taking probability and/or confidence into account.
I'd note that Stanford's DeepDive explicitly claims to be a KB building tool, despite it doing probabilistic inference. In their case they do Gibbs sampling instead of PSL, but the similarities are clear.
I'd note that Stanford's DeepDive explicitly claims to be a KB building tool, despite it doing probabilistic inference. In their case they do Gibbs sampling instead of PSL, but the similarities are clear.
Also, people associated with OpenCog (including the author of this paper) often refer to OpenCog knowledge bases. Eg https://opencog.wordpress.com/2008/09/14/progress-update/