About

neXSim

neXSim is an Explainable AI (XAI) tool for entity comparison. It formally characterizes and explains the nexus of similarity in Knowledge Graphs using logic. This version uses data coming from BabelNet. Here you can find some articles and publications related to neXSim and its underlying concepts. If you want to get in touch with us, please visit our contacts page.

neXSim: A System for Entity Comparison within Relational Knowledge Graphs

Authors: Giovanni Amendola, Pietro Cofone, Marco Manna, Aldo Ricioppo

Published in: RuleML+RR 2026

Link not available

Navigating Taxonomic Expansions of Entity Sets Driven by Knowledge Bases

Authors: Giovanni Amendola, Pietro Cofone, Marco Manna, Aldo Ricioppo

Published in: arXiv preprint, 2026

Link to the paper

neXSim: A System for Explaining Nexus of Similarities

Authors: Giovanni Amendola, Pietro Cofone, Marco Manna, Aldo Ricioppo

Published in: ICLP Workshops, 2025

Link to the paper

A logic-based framework for characterizing nexus of similarity within knowledge bases (Extended Abstract, Short)

Authors: Giuseppe Agresta, Giovanni Amendola, Pietro Cofone, Marco Manna, Aldo Ricioppo

Published in: KR 2024, Recently Published Research Track (Extended Abstract, Short)

Link not available

A logic-based framework for characterizing nexus of similarity within knowledge bases

Authors: Giovanni Amendola, Marco Manna, Aldo Ricioppo

Published in: Information Sciences, Volume 664, April 2024, 120331

Link to the paper

A logic-based framework for characterizing nexus of similarity within knowledge bases (Extended Abstract, Short)

Authors: Giuseppe Agresta, Giovanni Amendola, Pietro Cofone, Marco Manna, Aldo Ricioppo

Published in: KR 2024, Recently Published Research Track (Extended Abstract, Short)

Link to the paper

Characterizing Nexus of Similarity between Entities

Authors: Giuseppe Agresta, Giovanni Amendola, Pietro Cofone, Marco Manna, Aldo Ricioppo

Published in: IPS-RCRA-SPIRIT 2023

Link to the paper

Characterizing Nexus of Similarity within Knowledge Bases: A Logic-based Framework and its Computational Complexity Aspects

Authors: Giovanni Amendola, Marco Manna, Aldo Ricioppo

Published in: arXiv preprint, 2023

Link to the paper

Back to home