Not Mark, but I'm one of the original leads on Google's Knowledge Graph. KGs are great for data integration because they are naturally composable. If you have

Not Mark, but I'm one of the original leads on Google's Knowledge Graph. KGs are great for data integration because they are naturally composable. If you have two data sources represented as graphs, and their node identifiers are in the same range (ie, they have been reconciled), and their edge labels are mapped to the same schema, then you can combine them just by taking the union of all their triples. This works across different vertical domains -- for instance, you can create a joint film + music KG just by unioning all the triples from a film KG and a music KG, as long as you've mapped the node identifiers to a common namespace (eg Wikipedia). You can then do cross-vertical queries like soundtracks for Will Smith movies, etc.