Knowledge Graphs and Neurosymbolic AI

(Online talk) Knowledge Graphs (KGs) provide structured, machine-interpretable knowledge that supports reasoning and explainability. Their combination with machine learning has become increasingly important within Neurosymbolic AI, which integrates neural and symbolic approaches to combine data-driven learning with knowledge representation and reasoning. The talk will discuss some combination of KGs and Neurosymbolic AI, highlighting how these two research areas can mutually enhance one another.

Affiliation of Fajar Ekaputra: Institute of Data, Process, and Knowledge Management (DPKM), Department of Information Systems and Operation Management (ISOM), Vienna University of Economics and Business (WU Vienna)