12 Knowledge graphs

This chapter covers

  • Introducing knowledge graphs and their use
  • Extracting entities and relationships from text to create a knowledge graph
  • Using postprocessing techniques on top of knowledge graphs: semantic networks
  • Extracting topics automatically

In this chapter, we’ll continue the work started in chapter 11: decomposing a text into a set of meaningful information and storing it in a graph. Here, we have a clear goal in mind: building a knowledge graph.

In this way we will complete the journey we started 11 chapters ago, of managing and processing data by using graphs as a core technology and mental model. Knowledge graphs represent the summit of what has been discussed throughout the entire book. In previous chapters, ...

Get Graph-Powered Machine Learning now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.