Knowledge Aware Computing (Prof. Krötzsch)
We want to enable a tighter integration of knowledge-driven and statistical approaches to AI by laying the foundations for a knowledge-aware computing architecture. Therefore we are going to design an initial rule-based language for expressive recursive view definitions over knowledge graphs and investigate the conceptual foundations of integrating other AI methods in this rule-based framework based on well-defined interfaces. Furthermore, we develop methods for interpreting and validating results of other AI formalisms with respect to the original knowledge graph and create a prototype implementation of these concepts, and evaluate it for performance and utility.