Keynote Speech: Bridging Minds and Machines: Rethinking Knowledge Engineering in the age of Neurosymbolic AI

Description

Neurosymbolic AI is a major trend in current AI research aiming to bridge two major AI techniques: sub-symbolic AI methods such as machine learning, deep learning or generative AI benefit from formally represented knowledge in symbolic AI artifacts such as ontologies, taxonomies and knowledge graphs. While these knowledge artifacts play a key role in the DNA of modern neurosymbolic AI systems, the way of creating them through the knowledge engineering process has significantly evolved with the advent of powerful generative AI techniques. In this talk, I will give examples of how GenAI techniques are used for knowledge acquisition and validation and reflect on their strengths and weaknesses. I will further present investigations of the best ways to combine human and AI components during knowledge engineering. Taking all these advances as a backdrop, I will explore what these mean for revising knowledge engineering methodologies to meet the new context of Neurosymbolic AI systems.

Period	28 Oct 2025
Event title	2025 IEEE International Conference on Data and Software Engineering: Generative AI Meets Data and Software Engineering: Challenges and Innovations
Event type	Conference
Location	Batam, IndonesiaShow on map
Degree of Recognition	International