Knowledge Graphs Push the Boundaries of Data Science

Defined by The Turing Institute, the UK’s the national institute for data science and artificial intelligence, as the best way to “encode knowledge to use at scale in open, evolving, decentralized systems,” Knowledge Graphs1 are a big trend in the advanced data science world, but they aren’t as widely known as they could be. In this article, graph database expert Maya Natarajan asks: Does the real magic of knowledge graphs come into play when they are used to get the best from machine learning?

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