Use neural networks to generate ontology tests from natural language descriptions

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  • 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

Literature