Knowledge Graphs

1. 00:00Welcome to Knowledge Graphs. This is lecture number five knowledge graph
2. 00:05applications. As always we start with a short introduction into the lecture
3. 00:11and a brief overview.
4. 00:13First thing we will talk about in this section of the lecture are ontologies
5. 00:19in action. So what does that mean? We will have a deeper look
6. 00:22into ontologies to see what types and what categories of ontologies
7. 00:26are there and especially what kind of pitfalls you should avoid
8. 00:31when designing your ontology and when working with ontologies.
9. 00:36And then we will proceed with knowledge graphs and this is
10. 00:39the chapter where we will first give you a formal definition
11. 00:42of a knowledge graph. We didn't do that so far.
12. 00:45And there of course we will focus on the application of knowledge
13. 00:49graphs within information systems, especially there in search engines
14. 00:54followed by a section on RDF and OWL knowledge graphs and how
15. 00:57these knowledge graphs are interconnected with each other to form
16. 01:02the web of data. And then we are going to look into knowledge
17. 01:06graph programming where we are going to see how we can use
18. 01:09RDF and SPARQL in the programming languages such as python.
19. 01:14Since pictures speak a thousand words then we are going to
20. 01:18look into the knowledge graph visualization techniques
21. 01:22and then finally we are going to see how we can use KDD process
22. 01:27for knowledge graph analytics.
23. 01:30So without further ado let's proceed with ontologies in action.

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