Knowledge graphs are a universal means of data representation which can be consumed by humans and machines alike, and is therefore a key ingredient in many modern data-driven systems and AI applications, which often need knowledge about the domain they operate in, and/
This course gives an introduction to the underlying standards of knowledge graphs, including knowledge representation and query languages, as well as logical inference. More specifically, it covers the following contents:
Besides theoretical lectures, the course also consists of hands-on exercises and a practical project in which you build a small knowledge graph backed application.
The exam review for HWS 2023 will take place on Thursday, February 29th, at 10 am, in room B6 27-29 C101. In case you want to review your exam, please register for the exam review with Bianca Lermer.
Week | Tuesday | Friday |
04.09.2023 | Lecture: Introduction | Exercise: Introduction |
11.09.2023 | Lecture: Representing Knowledge in Graphs (RDF) | Exercise: Representing Knowledge in Graphs (RDF) |
18.09.2023 | Lecture: Lighweight Knowledge Graph Inference (RDFS) | Exercise: Lighweight Knowledge Graph Inference (RDFS) |
25.09.2023 | Lecture: Linked Data, Knowledge Graph Programming | Exercise: Linked Data, Knowledge Graph Programming, Kick Off Group Projects |
02.10.2023 | Holiday | No exercise, time to work on group projects |
09.10.2023 | Lecture: Querying Knowledge Graphs | Exercise: Querying Knowledge Graphs |
16.10.2023 | Lecture: Public Knowledge Graphs | Exercise: Public Knowledge Graphs |
23.10.2023 | Lecture: Labeled Property Graphs | Exercise: Labeled Property Graphs |
30.10.2023 | Lecture: Advanced Knowledge Graph Inference (OWL Part 1) | Exercise: Advanced Knowledge Graph Inference (OWL Part 1) |
06.11.2023 | No lecture (time to work on projects) | No exercise (time to work on projects) |
13.11.2023 | Lecture: Advanced Knowledge Graph Inference (OWL Part 2) | Exercise: Advanced Knowledge Graph Inference (OWL Part 2) |
20.11.2023 | Lecture: Knowledge Modeling | Exercise: Knowledge Modeling |
27.11.2023 | Lecture: Knowledge Graph Quality and Knowledge Integration | Exercise: Knowledge Graph Quality and Knowledge Integration |
04.12.2023 | Project Presentations |
Important dates for the group projects:
Material
Lecture Slides:
05.09.: Organization & Introduction
12.09.: RDF
19.09.: RDFS
26.09.: Linked Open Data
10.10.: SPARQL
17.10.: Public Knowledge Graphs
24.10.: Property Graphs
31.10.: Advanced Knowledge Graph Inference (OWL Part 1)
14.11.: Advanced Knowledge Graph Inference (OWL Part 2)
21.11.: Knowledge Modeling
28.11.: Data Quality and Linking
Exercise:
08.09.: XML
15.09.: RDF
22:09:. RDFS
13.10.: SPARQL
20.10.: Public Knowledge Graphs
27.10.: Property Graphs
03.11.: OWL (Part 1)
17.11.: OWL (Part 2)
24.11.: Ontology Engineering
01.12.: Interlinking
Further material (slides, exercise solutions, videos, and other additional materials) will be made available in the corresponding ILIAS group.
Literature (suggested reading list):