Giuseppe Futia

KGs Insights A Python hands-on guide to understanding the principles for generating new knowledge following logical processes Giuseppe Futia · Follow Published in Towards Data Science · 9 min read · 2 hours ago — Figure 1 — An end-to-end process illustrating how starting statements lead to inferred ones through ontology reasoning Introduction Reasoning capabilities are a widely discussed topic in the context of AI systems. These capabilities are often associated with Large Language Models

NED-SERIES How to distill knowledge from biomedical text combining pre-trained language models with graph machine learning Giuseppe Futia · Follow Published in Towards Data Science · 10 min read · 1 day ago — This article synthesizes a paper accepted for the IEEE Application of Information and Communication Technologies (AICT2024) conference. In addition to the undersigned, Felice Paolo Colliani (first author), Giovanni Garifo, Antonio Vetrò, and Juan Carlos De Martin are the co-authors of this

A perspective for combining LLMs, Ontologies, and Knowledge Graphs in the Biomedical Domain Giuseppe Futia · Follow Published in Towards Data Science · 20 min read · 9 hours ago — I want to thank Vlasta Kus for the feedback on the initial idea of this article. Introduction Named Entity Disambiguation (NED) is an essential task in Natural Language Processing (NLP) for resolving ambiguous mentions of named entities to their corresponding unambiguous entities in a