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Aldo Gangemi

2 papers indexed

arxivcs.AI2026-07-20

OntoExtend: A Framework for Requirement-driven and Scalable Ontology Extension with LLMs

Anna Sofia Lippolis, Mohammad Javad Saeedizade, Stefan Schmid, Simon Blattner, Robin Keskisärkkä, Aldo Gangemi, et al.

Ontology extension refers to the process of enriching an existing ontology in response to emerging requirements, making it more complete. This task is a resource-intensive and error-prone process. Large Language Models (LLMs) have shown promising performance on generating ontolog…

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arxivcs.CV2026-07-16

An LLM-Based Automatic Sportscast Solution for Robot Soccer Matches

Francesco Petri, Michele Brienza, Daniele Nardi, Domenico Daniele Bloisi, Aldo Gangemi, Vincenzo Suriani

RoboCup has always been a scenario to develop systems that solve real-world problems. Driven by the main goal of playing against the 2050 FIFA World Cup champions, the RoboCup Soccer leagues need to constantly measure how the research community is progressing. Computing visual st…

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