Use neural networks to generate ontology tests from natural language descriptions
- The overall goal is to take ontology competency questions written in natural language (possibly structured with a cucumber-like syntax) and translate them to a formal logical syntax in OWL2.
- Prerequisite knowledge: understanding of logic and of neural networks. For the implementation, skills in a Python are needed
- Contact person: Till Mossakowski