Knowledge Graphs

From International Center for Computational Logic

Knowledge Graphs

Course with SWS 2/2/0 (lecture/exercise/practical) in WS 2020

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. Information on how to join will be published through the OPAL page of this course, which students of TU Dresden can access.

Schedule and Location

During the winter term 2020/21, the lecture and tutorials will be held online.

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

  • Lecture sessions: Tuesdays DS2 (09:20 to 10:50), not every week; see dates published here, in Zoom (see below)
  • Exercise session: DS3 (11:10 to 12:40)
  • The first exercise session will take place on Tuesday, 2020-11-03.

All sessions will take place online. Links to the respective video rooms will be published through the OPAL page of this course. Sessions for larger numbers of participants are conducted in Zoom; participants can use the link provided in the Links section in OPAL.

A discussion forum on the OPAL page of this course and a Matrix chat room for discussions are available.

Subscribe to events of this course (icalendar)

Lecture 1. Introduction and Welcome DS2, October 27, 2020 in Zoom Download
Video
Lecture 2. The Resource Description Framework RDF DS2, November 3, 2020 in Video Download
Video 1 Video 2 Video 3
Exercise Introduction to Python DS3, November 3, 2020 in (online) Download


Calendar