The integration between symbolic knowledge and machine learning is becoming more and more important today, although controversially absent from mainstream data-driven AI. Stemming from my research in academia and industry, this contribution discusses the role that Applied Ontology can play in modern AI approaches. I will claim that, by means of a cognitively-inspired foundational framework, a more effective synergy between the two disciplines can be established.
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