Knowledge Graphs
Knowledge Graphs
Lehrveranstaltung mit SWS 2/2/0 (Vorlesung/Übung/Praktikum) im WS 2026
Dozent
Tutor
Umfang (SWS)
- 2/2/0
Module
Leistungskontrolle
- Mündliche Prüfung
Vorlesungsreihe
News
- the first lecture will take place on Tuesday, 2026-10-13, DS3 (11:10–12:40) in room HSZ 304
- the first exercise will take place on Wednesday, 2026-10-14, DS4 (13:00–14:30) in room HSZ 204
- 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).
Veranstaltungskalender abonnieren (icalendar)
| Vorlesung | 1. Introduction and Welcome | DS3, 13. Oktober 2026 in HSZ 304 | Datei 1, Datei 2 |
| Übung | 0. Introduction to Python | DS4, 14. Oktober 2026 in HSZ 204 | Datei |
| Vorlesung | 2. Representing Graphs with RDF | DS3, 20. Oktober 2026 in HSZ 304 | Datei 1, Datei 2 |
| Übung | 1. Getting to Know Graphs | DS4, 21. Oktober 2026 in HSZ 204 | Datei |
| Entfällt | (no lecture) | DS3, 27. Oktober 2026 in HSZ 304 | |
| Entfällt | (no exercise) | DS4, 28. Oktober 2026 in HSZ 204 | |
| Vorlesung | 3. Modelling in RDF / SPARQL Basics | DS3, 3. November 2026 in HSZ 304 | |
| Übung | 2. Graphs and RDF | DS4, 4. November 2026 in HSZ 204 | Datei |
| Vorlesung | 4. Wikidata | DS3, 10. November 2026 in HSZ 304 | |
| Übung | 3. TBD | DS4, 11. November 2026 in HSZ 204 | |
| Vorlesung | 5. Advanced Features of SPARQL | DS3, 17. November 2026 in HSZ 304 | |
| Entfällt | Repentance and Prayer Day (public holiday) | DS4, 18. November 2026 in HSZ 204 | |
| Vorlesung | 6. SPARQL Semantics | DS3, 24. November 2026 in HSZ 304 | |
| Übung | 4. TBD | DS4, 25. November 2026 in HSZ 204 | |
| Vorlesung | 7. Datalog for Knowledge Graphs | DS3, 1. Dezember 2026 in HSZ 304 | |
| Übung | 5. TBD | DS4, 2. Dezember 2026 in HSZ 204 | |
| Vorlesung | 8. Advanced Datalog | DS3, 8. Dezember 2026 in HSZ 304 | |
| Übung | 6. TBD | DS4, 9. Dezember 2026 in HSZ 204 | |
| Vorlesung | 9. Complexity of SPARQL and Datalog (1) | DS3, 15. Dezember 2026 in HSZ 304 | |
| Übung | 7. TBD | DS4, 16. Dezember 2026 in HSZ 204 | |
| Vorlesung | 10. Complexity of SPARQL and Datalog (2) | DS3, 5. Januar 2027 in HSZ 304 | |
| Übung | 8. TBD | DS4, 6. Januar 2027 in HSZ 204 | |
| Vorlesung | 11. Ontologies for Knowledge Graphs | DS3, 12. Januar 2027 in HSZ 304 | |
| Übung | 9. TBD | DS4, 13. Januar 2027 in HSZ 204 | |
| Vorlesung | 12. Ontology-Based Query Answering | DS3, 19. Januar 2027 in HSZ 304 | |
| Übung | 10. TBD | DS4, 20. Januar 2027 in HSZ 204 | |
| Vorlesung | 13. Knowledge Graph Quality | DS3, 26. Januar 2027 in HSZ 304 | |
| Übung | 11. TBD | DS4, 27. Januar 2027 in HSZ 204 | |
| Vorlesung | 14. Knowledge Graph Quality / Summary | DS3, 2. Februar 2027 in HSZ 304 | |
| Übung | 12. TBD | DS4, 3. Februar 2027 in HSZ 204 |
Kalender
