Knowledge Graphs

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Knowledge Graphs

Lehrveranstaltung mit SWS 2/2/0 (Vorlesung/Übung/Praktikum) im WS 2025

News

  • the first lecture will take place on Tuesday, 2025-10-14, DS2 (09:20–10:50) in room BAR 106
  • the first exercise will take place on Wednesday, 2025-10-22, DS4 (13:00–14:30) in room N63 A001
  • 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).

  • Lectures: Thursdays, DS2 (09:20 to 10:50) in BAR 106
  • Exercises: Wednesdays, DS4 (13:00 to 14:30) in N63 A001
  • The first exercise sessions will be on Wednesday, 2025-10-22.

Veranstaltungskalender abonnieren (icalendar)

Vorlesung 1. Introduction and Welcome DS2, 14. Oktober 2025 in BAR 106 Datei 1 Datei 2
Vorlesung 2. Representing Graphs with RDF DS2, 21. Oktober 2025 in BAR 106 Datei 1 Datei 2
Übung 0. Introduction to Python DS4, 22. Oktober 2025 in N63 A001 Datei
Vorlesung 3. Modelling in RDF / SPARQL Basics DS2, 28. Oktober 2025 in BAR 106 Datei 1 Datei 2
Übung 1. Getting to Know Graphs DS4, 29. Oktober 2025 in N63 A001 Datei
Vorlesung 4. Wikidata DS2, 4. November 2025 in BAR 106 Datei 1 Datei 2
Übung 2. Graphs and RDF DS4, 5. November 2025 in N63 A001 Datei
Vorlesung 5. Advanced Features of SPARQL DS2, 11. November 2025 in BAR 106 Datei 1 Datei 2
Übung 3. SPARQL and Wikidata DS4, 12. November 2025 in N63 A001 Datei
Vorlesung 6. SPARQL Semantics DS2, 18. November 2025 in BAR 106 Datei 1 Datei 2
Entfällt Repentance and Prayer Day (public holiday) DS4, 19. November 2025 in N63 A001
Vorlesung 7. Datalog for Knowledge Graphs DS2, 25. November 2025 in BAR 106 Datei 1 Datei 2
Übung 4. More SPARQL and Wikidata DS4, 26. November 2025 in N63 A001 Datei
Vorlesung 8. Advanced Datalog DS2, 2. Dezember 2025 in BAR 106
Übung 5. Datalog in Theory & Practice DS4, 3. Dezember 2025 in N63 A001 Datei
Vorlesung 9. TBA DS2, 9. Dezember 2025 in BAR 106
Übung 6. TBA DS4, 10. Dezember 2025 in N63 A001
Vorlesung 10. TBA DS2, 16. Dezember 2025 in BAR 106
Übung 7. TBA DS4, 17. Dezember 2025 in N63 A001
Vorlesung 11. TBA DS2, 6. Januar 2026 in BAR 106
Übung 8. TBA DS4, 7. Januar 2026 in N63 A001
Vorlesung 12. TBA DS2, 13. Januar 2026 in BAR 106
Übung 9. TBA DS4, 14. Januar 2026 in N63 A001
Vorlesung 13. TBA DS2, 20. Januar 2026 in BAR 106
Übung 10. TBA DS4, 21. Januar 2026 in N63 A001
Vorlesung 14. TBA DS2, 27. Januar 2026 in BAR 106
Übung 11. TBA DS4, 28. Januar 2026 in N63 A001
Konsultation Consultation DS2, 3. Februar 2026 in BAR 106
Übung 12. TBA DS4, 4. Februar 2026 in N63 A001


Kalender