3 citations · 5 across the 11 of their papers we have counts for
4 papers · 1 filter
To Neuro-Symbolic Classification and Beyond by Compiling Description Logic Ontologies to Probabilistic Circuits
Nicolas Lazzari, Valentina Presutti, Antonio Vergari
Background: Neuro-symbolic methods enhance the reliability of neural network classifiers through logical constraints, but they lack native support for ontologies. Objectives: We ai…
Semantic Web and Creative AI -- A Technical Report from ISWS 2023
Raia Abu Ahmad, Reham Alharbi, Roberto Barile +74
The International Semantic Web Research School (ISWS) is a week-long intensive program designed to immerse participants in the field. This document reports a collaborative effort p…
Situated Ground Truths: Enhancing Bias-Aware AI by Situating Data Labels with SituAnnotate
Delfina Sol Martinez Pandiani, Valentina Presutti
In the contemporary world of AI and data-driven applications, supervised machines often derive their understanding, which they mimic and reproduce, through annotations--typically c…
Sandra -- A Neuro-Symbolic Reasoner Based On Descriptions And Situations
Nicolas Lazzari, Stefano De Giorgis, Aldo Gangemi +1
This paper presents sandra, a neuro-symbolic reasoner combining vectorial representations with deductive reasoning. Sandra builds a vector space constrained by an ontology and perf…