This Lecture introduces how Knowledge Graphs are generated. The goal is to gain

• an overview of different approaches that were proposed for creating a Knowledge Graph and find out more details about the current prevalent ones;  
• an understanding of the different solutions to generate Knowledge Graphs;
• knowledge to choose the mapping language that suits best a certain use case.

 After reading this lecture, the reader should have an understanding of the different solutions available to generate Knowledge Graphs and should be able to choose the mapping language that best suits a certain use case.

This is an Invited Lecture delivered at the Big Data Analytics Summer School 2020 by Dr Anastasia Dimou, Department of Electronics and information systems, Ghent University