After successful completion of the course, students are able to...

• use formal methods from the area of knowledge compilation and knowledge graphs
• solve hard reasoning problems scalably with the help of knowledge compilation
• to aply this theoretically and practically in form of an implementation

In this seminar, we cover methods and questions from the areaof Knowledge Graphs.

Knowledge Graphs are knowledge bases that use a graph-like data model. They are often used to represent connection between objects, events and sitautions. In relation to the semantic web, Knowledge Graphs are often used in Open Data projects. A prominent application is Google's search engine. Knowledge Graphs are used, among other items, to reason over data and in particular to represent and use existing knowledge in an area instead of just answering simple queries.

The target audience are students interested to deepen their knowledge in the area of Knowledge Graphs

Students first present a collection of articles on the core ideas of the areas. After that, connection between the areas are introduced and discussed in groups.

ECTS Breakdown:

• 10h introduction to subject matter
• 30h algorithm design and implementation, 
• 25h presentation (including time to prepare)

Assessement is based on the implementation and the oral presenation of the topic, including discussion of the connections based on theoretical articles. Selected works will show algorithms and implementation to connect theory to practice.

The target audience are students interested to deepen their knowledge in Knowledge Graphs