Knowledge Graphs
Knowledge Graphs
Course with SWS 2/2/0 (lecture/exercise/practical) in WS 2026
Lecturer
Tutor
SWS
- 2/2/0
Modules
Examination method
- Oral exam
Lecture series
News
- the first lecture will take place on Tuesday, 2025-10-14, DS2 (09:20–10:50) in room BAR 106
- please check this page regularly for updates of the schedule
- additional materials (example data, solutions to programming exercises) are available on a GitHub repository
Contents
Knowledge graphs are becoming an important paradigm in industry and research, with applications including prominent examples such as Google's own Knowledge Graph, Wikipedia's knowledge base sister Wikidata, and numerous artificial intelligence projects from Alexa to Siri. Meanwhile, companies are exploring the use of their own enterprise knowledge graphs for improving internal knowledge management.
With so many facets, knowledge graphs are a cross-cutting topic in computer science that involves aspects of data management (graph databases, file formats), publication (exchange formats, data integration), knowledge organisation (constraints, ontologies), and advanced analytics (expressive query languages, graph data mining). On each of these levels, there is some interesting theory and some interesting technology to be learned. This course will cover a colourful mix of technologies and methods related to the use of graphs for data analysis, knowledge representation, and data management.
Registration
The course generally does not require a special registration and there is no limit for participants. However, you will need to register in Selma for the appropriate module to obtain credits. Most of the materials will be freely available world-wide. Live sessions (especially tutorials) are restricted to students of TU Dresden.
Schedule and Location
All dates are published on this page (see Dates & Materials above).
