Roberto Avogadro is a researcher in the Smart Data group at SINTEF Digital. He develops methods and software for linking and enriching data using knowledge graphs and large language models. His work includes Zootology, a toolkit for semantic data enrichment, and inLUMEN, an AI-assisted tool for designing data and AI pipelines, under development in DataPACT. He holds a PhD in computer science from the University of Milano-Bicocca.
Education
PhD in Computer Science, University of Milano-Bicocca, Italy
Master’s degree in Computer Science, University of Milano-Bicocca, Italy
Bachelor’s degree in Computer Science, University of Milano-Bicocca, Italy
Competence and research areas
Entity linking and disambiguation in tabular data; semantic data enrichment; knowledge graphs and ontologies; semantic interoperability in data spaces. Development and evaluation of methods using large language models, including retrieval-augmented generation (RAG). Software tools for semantic annotation and human-in-the-loop validation, and AI-assisted design of data and AI pipelines.
Linkedin
https://www.linkedin.com/in/roberto-avogadro-657744a2/
ResearchGate
https://www.researchgate.net/profile/Roberto-Avogadro
ORCID
https://orcid.org/0009-0005-7404-4123
