Could someone explain what differentiates the Google Knowledge Graph from a Markov Logic Network implementation? Is that what it is?
For reference: https://sites.google.com/site/slgworkshop2013/accepted_paper...
For reference: https://sites.google.com/site/slgworkshop2013/accepted_paper...
Google's Knowledge Vault uses a fusion of a number of different extraction methods. Their exact methodology is laid out in their "Knowledge Vault" paper[1].
If you want to go deeper (ha!), then Deep Dive[2] is open source, and pretty much state-of-the art. It does inference using Gibbs sampling on a Factor Graph (Markov models/MLNs can be represented as Factor Graphs).