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by nl
4025 days ago
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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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