Knowledge Graphs (HWS 2022)

Knowledge graphs are a universal means of data representation which can be consumed by humans and machines alike, and is therefore a key ingredient in many modern data-driven systems and AI applications, which often need knowledge about the domain they operate in, and/or general purpose knowledge about the world. Knowledge graphs are increasingly used in companies and large organizations, with the most well-known application being the Google Knowledge Graph backing the search engine we all use on a day to day basis. There are also quite a few large-scale open knowledge graphs, like DBpedia or Wikidata, which can be freely used to fuel powerful AI applications.

This course gives an introduction to the underlying standards of knowledge graphs, including knowledge representation and query languages, as well as logical inference. More specifically, it covers the following contents:

• History of Knowledge Graphs and the Semantic Web
• Representation Languages (XML, RDF, RDF Schema, OWL)
• Knowledge Modeling: Ontologies, Linked Data, and Property Graphs
• Data Quality in Knowledge Graphs
• Logical Reasoning in RDF and OWL
• Commercial and Open Source Tools and Systems

Besides theoretical lectures, the course also consists of hands-on exercises and a practical project in which you build a small knowledge graph backed application.

In case you want to review your second exam of HWS 2022, please write a mail to Bianca Lermer until Friday, 10 March 2023.

• Java or Python programming skills are required to pass this course!
• Preferably, some experience with software development
• To pass the course you have to fulfill the following requirements:
  • Pass the final exam (you have to get a 4.0 or better in the exam to pass this course)
  • Successfully work in a group on a project idea (programming!), present the results and write a report
• The final grade is the grade achieved in the final exam, however, the project is a mandatory requirement to pass the course.

• Lecture: Heiko Paulheim
• Practical Exercise: Sven Hertling

• Lecture: Tuesday, 15:30 – 17:00, room B6 30-32, building part E-F, 209
• Exercise: Friday, 12.00 – 13.30, room B6 A1.04

Important dates for the group projects:

• Sunday, October, 16th, 23:59: Submission of project proposals
• Sunday, December 11th, 23:59: Submission of final reports