In this seminar, we cover methods and questions from the areas of Knowledge Graphs und Knowledge Compilation.
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.
Knowledge Compilation is a technique to transform knowledge (often in the form of formulas) into another representation. The specific goal is to translate computationally expensive and difficult tasks once into a respective reprsentation, and then to solve interesting questions more efficiently on the new representation.
The target audience are students interested to deepen their knowledge in one of these areas:
- Knowledge Graphs
- Knowledge Compilation
Deep previous knowledge in both areas is not necessary.
We cover both topics in the seminar and derive connections.
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 one of these areas:
- Knowledge Graphs
- Knowledge Compilation
Deep previous knowledge in both areas is not necessary.
