Startup Unleashes Its Clone of Google's Knowledge Graph

Re:Startup Unleashes Its Clone of Google's Knowledge Graph by rbkillea on Thursday June 18, 2015 @09:40PM (#9742630)

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...

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Re:Startup Unleashes Its Clone of Google's Knowledge Graph by nl on Friday June 19, 2015 @02:48AM (#9743332)

MLNs are one possible way to implement the inference component that any knowledge graph needs.

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).

[1] http://www.cs.ubc.ca/~murphyk/Papers/kv-kdd14.pdf

[2] http://deepdive.stanford.edu/doc/general/kbc.html

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