Knowledge Graphs

From International Center for Computational Logic

Knowledge Graphs

Course with SWS 2/2/0 (lecture/exercise/practical) in WS 2022

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, students in programmes that use the Selma system (esp. students in CMS Master) will need to register there to obtain credits. Additionally, we kindly ask you to enroll in the OPAL course so we can contact you, should the need arise. Most of the materials will be freely available world-wide. Live sessions (especially tutorials) are restricted to students of TU Dresden.

Schedule and Location

We are currently planning with in-presence teaching, although this might still change.

All dates are published on this page (see Dates & Materials above)

Subscribe to events of this course (icalendar)

Lecture 1. Introduction and Welcome DS3, October 11, 2022 in APB E005
Lecture 2. The Resource Description Framework RDF DS3, October 18, 2022 in APB E005
Exercise 0. Introduction to Python DS5, October 18, 2022 in APB E005
Lecture 3. Modelling in RDF / SPARQL Basics DS3, October 25, 2022 in APB E005
Exercise 1. Getting to Know Graphs and the Resource Description Framework DS5, October 25, 2022 in APB E005
Lecture 4. Wikidata DS3, November 1, 2022 in APB E005
Exercise 2. RDF Modelling DS5, November 1, 2022 in APB E005
Lecture 5. Advanced Features of SPARQL DS3, November 8, 2022 in APB E005
Exercise 3. SPARQL and Wikidata DS5, November 8, 2022 in APB E005
Lecture 6. SPARQL Semantics DS3, November 15, 2022 in APB E005
Exercise 4. More SPARQL and Wikidata DS5, November 15, 2022 in APB E005
Lecture 7. Expressive Power and Complexity of SPARQL DS3, November 22, 2022 in APB E005
Exercise 5. Advanced SPARQL DS5, November 22, 2022 in APB E005
Lecture 8. Limits of SPARQL / Datalog DS3, November 29, 2022 in APB E005
Exercise 6. More Advanced SPARQL DS5, November 29, 2022 in APB E005
Lecture 9. Rules for Querying Graphs DS3, December 6, 2022 in APB E005
Exercise 7. Expressivity of SPARQL DS5, December 6, 2022 in APB E005
Lecture 10. Property Graph DS3, December 13, 2022 in APB E005
Exercise 8. Datalog & Rulewerk DS5, December 13, 2022 in APB E005
Lecture 11. Querying Property Graphs with Cypher DS3, December 20, 2022 in APB E005
Exercise 9. Datalog, Rulewerk, and Property Graph DS5, December 20, 2022 in APB E005
Lecture 12. Knowledge Graph Quality DS3, January 10, 2023 in APB E005
Exercise 10. Cypher DS5, January 10, 2023 in APB E005
Lecture 13. Centrality DS3, January 17, 2023 in APB E005
Exercise 11. Knowledge Graph Quality and Validation DS5, January 17, 2023 in APB E005
Exercise 12. Centrality Measures DS5, January 24, 2023 in APB E005


Calendar