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(Actual) Neurosymbolic AI: Combining Deep Learning and Knowledge Graphs (Dagstuhl Seminar 25291)

Authors Pascal Hitzler, Cogan Shimizu, Daria Stepanova, Frank van Harmelen and all authors of the abstracts in this report

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DagRep.15.7.53.pdf
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Subject Classification

ACM Subject Classification
  • Information systems → Semantic web description languages
  • Theory of computation → Automated reasoning
  • Theory of computation → Description logics
  • Theory of computation → Semantics and reasoning
  • Human-centered computing → Human computer interaction (HCI)
  • Computing methodologies → Machine learning
Keywords
  • deep learning
  • knowledge graphs
  • neurosymbolic ai

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Abstract

In the past decade, both deep learning (DL) and knowledge graphs (KGs) have seen astonishing growth and groundbreaking milestones – DL due to newly available resources (e.g., accessibility of (modern) web scale data), previously un-scalable techniques (e.g., transformers), and modern hardware; KGs due to successful standardization, web-scale integration, and previously un-scalable techniques for querying and inference. This has brought new and increased interest to both fields, and especially in how they can complement each other. % This report documents the program and the outcomes of Dagstuhl Seminar 25291 "(Actual) Neurosymbolic AI: Combining Deep Learning and Knowledge Graphs". This Dagstuhl Seminar brought 34 internationally recognized experts together to examine the gap between deep learning and knowledge graphs, and architect their integration: neurosymbolic AI.

Cite As Get BibTex

Pascal Hitzler, Cogan Shimizu, Daria Stepanova, and Frank van Harmelen. (Actual) Neurosymbolic AI: Combining Deep Learning and Knowledge Graphs (Dagstuhl Seminar 25291). In Dagstuhl Reports, Volume 15, Issue 7, pp. 53-123, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026) https://doi.org/10.4230/DagRep.15.7.53

Author Details

Pascal Hitzler
  • Kansas State University - Manhattan, US
Cogan Shimizu
  • Wright State University - Dayton, US
Daria Stepanova
  • Bosch Center for AI - Renningen, DE
Frank van Harmelen
  • VU Amsterdam, NL
and all authors of the abstracts in this report
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