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It is argued that Neuro-symbolic (NeSy) AI methods lay out a promising path towards industrial-grade configurators that are reliable by design, explainable, and trustworthy.
This work presents an architecture that fills the gap by using an OWL configuration ontology to mediate between neural constraint sources and downstream consumers by using an OWL configuration ontology to mediate between neural constraint sources and downstream consumers.
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