September 2021
Intermediate to advanced
496 pages
15h 15m
English
Content preview from Graph-Powered Machine Learning
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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, ...
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