KR2026Proceedings of the 23rd International Conference on Principles of Knowledge Representation and ReasoningProceedings of the 23rd International Conference on Principles of Knowledge Representation and Reasoning

Lisbon, Portugal. July 20-23, 2026.

Edited by
  1. Renata Wassermann
  2. Marie-Laure Mugnier
  3. Franz Baader

ISSN: 2334-1033
ISBN: 978-1-956792-18-8

Sponsored by
Published by

Copyright © 2026 International Joint Conferences on Artificial Intelligence Organization

DeepEL: Deep Learning and Formal Description Logic Reasoning

  1. Alessandro Longato(University of Milano-Bicocca)
  2. Ignacio Huitzil(University of Zaragoza, Aragon Institute of Engineering Research (I3A))
  3. Rafael Peñaloza(University of Milano-Bicocca)
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BibTeX
https://doi.org/10.24963/kr.2026/93

Keywords

  1. null-neuro-symbolic reasoning
  2. null-description logics
  3. null-learning

Abstract

Light-weight description logics like EL have been successfully used to represent the terminological knowledge of many application domains. Yet, identifying the characteristics of instances often requires sub-symbolic approaches. We introduce a neuro-symbolic extension of EL which allows for (neural) perception and classification of properties, accompanied by formal (symbolic) reasoning based on these perceptions. Through a prototypical implementation, based on a reduction to logic programming, we show that inferences and learning are effectively achievable.