Ernesto Jiménez-Ruiz – författare

This book constitutes the refereed proceedings of the 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, held in Barcelona, Spain during September 9-12th, 2024.

The 30 full papers and 18 short papers were carefully reviewed and selected from 89 submissions, which presented the latest and ongoing research work on neurosymbolic AI. Neurosymbolic AI aims to build rich computational models and systems by combining neural and symbolic learning and reasoning paradigms. This combination hopes to form synergies among their strengths while overcoming theircomplementary weaknesses.

This book constitutes the refereed proceedings of the 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, held in Barcelona, Spain during September 9-12th, 2024.

The 30 full papers and 18 short papers were carefully reviewed and selected from 89 submissions, which presented the latest and ongoing research work on neurosymbolic AI. Neurosymbolic AI aims to build rich computational models and systems by combining neural and symbolic learning and reasoning paradigms. This combination hopes to form synergies among their strengths while overcoming theircomplementary weaknesses.

The 11 revised full papers, 3 short paper and one invited talk presented were carefully reviewed and selected from 27 initial submissions. The papers are trying to bridge the gap between ontology engineering practices and software engineering with the aim of  describing reuse methods employed throughout the ontology development cycle; modeling/terminological decisions, alignment and comparison between ontologies, how ontologies are stored, versioned, distributed and consumed over the Web.

Chapter “Use Cases and Suitability Metrics for Unit Ontologies” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.