Knowledge Graphs
Knowledge Graphs
Lehrveranstaltung mit SWS 2/2/0 (Vorlesung/Übung/Praktikum) in WS 2023
Dozent
Tutor
Umfang (SWS)
- 2/2/0
Module
Leistungskontrolle
- Klausur
- Mündliche Prüfung
Vorlesungsreihe
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 enroll in the OPAL course for one of the exercise sessions. Additionally, students in programmes that use the Selma system (esp. students in CMS Master) will need to register there to obtain credits.
Most of the materials will be freely available world-wide. Live sessions (especially tutorials) are restricted to students of TU Dresden.Veranstaltungskalender abonnieren (icalendar)
| Vorlesung | Introduction and Welcome | DS3, 10. Oktober 2023 in SCH A252 | |
| Vorlesung | The Resource Description Framework RDF | DS3, 17. Oktober 2023 in SCH A252 | |
| Übung | Getting to Know Graphs and the Resource Description Framework | DS3, 18. Oktober 2023 in APB E005 | |
| Vorlesung | Modeling in RDF / SPARQL Basics | DS3, 24. Oktober 2023 in SCH A252 | |
| Übung | RDF Modelling | DS3, 25. Oktober 2023 in APB E005 | |
| Entfällt | Reformation Day | DS3, 31. Oktober 2023 in SCH A252 | |
| Übung | More RDF Modelling | DS3, 1. November 2023 in APB E005 | |
| Vorlesung | Wikidata | DS3, 7. November 2023 in SCH A252 | |
| Übung | SPARQL and Wikidata | DS3, 8. November 2023 in APB E005 | |
| Vorlesung | Advances Features of SPARQL | DS3, 14. November 2023 in SCH A252 | |
| Übung | More SPARQL and Wikidata | DS3, 15. November 2023 in APB E005 | |
| Vorlesung | SPARQL Semantics | DS3, 21. November 2023 in SCH A252 | |
| Entfällt | Day of Prayer and Repentance | DS3, 22. November 2023 in APB E005 | |
| Vorlesung | Expressive Power and Complexity of SPARQL | DS3, 28. November 2023 in SCH A252 | |
| Übung | Advanced SPARQL | DS3, 29. November 2023 in APB E005 | |
| Vorlesung | Limits of SPARQL / Datalog | DS3, 5. Dezember 2023 in SCH A252 | |
| Übung | More Advanced SPARQL | DS3, 6. Dezember 2023 in APB E005 | |
| Vorlesung | Rules for Querying Graphs | DS3, 12. Dezember 2023 in SCH A252 | |
| Übung | Expressivity of SPARQL | DS3, 13. Dezember 2023 in APB E005 | |
| Vorlesung | Property Graph | DS3, 19. Dezember 2023 in SCH A252 | |
| Übung | Datalog & Rulewerk | DS3, 20. Dezember 2023 in APB E005 | |
| Vorlesung | Querying Property Graphs with Cypher | DS3, 9. Januar 2024 in SCH A252 | |
| Übung | Datalog, Rulewerk, and Property Graph | DS3, 10. Januar 2024 in APB E005 | |
| Vorlesung | Knowledge Graph Quality | DS3, 16. Januar 2024 in SCH A252 | |
| Übung | Cypher | DS3, 17. Januar 2024 in APB E005 | |
| Vorlesung | Centrality | DS3, 23. Januar 2024 in SCH A252 | |
| Übung | Knowledge Graph Quality and Validation | DS3, 24. Januar 2024 in APB E005 | |
| Vorlesung | Summary and Outlook | DS3, 30. Januar 2024 in SCH A252 | |
| Übung | Centrality Measures | DS3, 31. Januar 2024 in APB E005 |
Kalender
<ul><li>„Lehrveranstaltungstype“ befindet sich nicht in der Liste (Vorlesung, Übung, Seminar, Praktikum, Entfällt, Konsultation) zulässiger Werte für das Attribut „Lehrveranstaltungstype“.</li> <!--br--><li>„DS“ befindet sich nicht in der Liste (DS1, DS2, DS3, DS4, DS5, DS6, DS7, DS8, terminlos) zulässiger Werte für das Attribut „Doppelstunde“.</li> <!--br--><li>Der Datenwert „Date“ enthält einen Gedankenstrich oder andere für die Interpretation der Datumsangabe ungültige Zeichen.</li></ul>
