Paolo Papotti
Chair Of Artificial Intelligence at 3IA Côte d'Azur
Antibes, Provence-Alpes-Côte d'Azur, France
Summary
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Senior🎓
Top SchoolPaolo Papotti is a Chair of Artificial Intelligence and associate professor with a decade-plus research career focused on data management, information quality, and—more recently—NLP and large language models. He designs systems and methods for data integration, cleaning, entity resolution and computational fact-checking, blending logic, machine learning and deep learning into practical solutions. His work has moved beyond academia into patented technologies adopted by companies like IBM and startups, and he manages and curates semi-structured data in his tooling and demos. Based in Antibes and rooted in a PhD from Roma Tre, he combines deep theoretical expertise with hands-on system implementation, from web search and metadata translation to production-ready AI components. An often-overlooked strength is his consistent focus on formal foundations (schema mappings, data exchange) that make his ML-driven approaches auditable and robust.
10 years of coding experience
13 years of employment as a software developer
Ph. D., Computer science, Ph. D., Computer science at Università degli studi Roma TRE
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
ranking10
science10
computer-science10
react10
tlaplus7
semantics7
discovery7
shacl6
linked-data6
rdf5
sparql5
semantic-web5
knowledge-graph4
scrutinizer2
declarative2
Programming languages (3)
Github contributions (5)
ppapotti/Rudik
Jan 2016 - Sep 2017
KB Rules Discovery
Contributions:104 commits, 21 pushes in 1 year 7 months
tlaplusdataminingrulesdiscovery
ppapotti/rudik-1
Sep 2017 - Aug 2018
Repository for RuDiK, a system for discovering declarative logical rules over RDF Knowledge Bases
Contributions:7 pushes in 11 months
basesjsonldlinked-datatriplestorediscovering
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