The StarAI | Statistical Relational Artificial Intelligence Lab is dedicated to advancing the frontiers of artificial intelligence, with a particular focus on Statistical Relational AI, where we explore the integration of probabilistic reasoning with relational structures to model complex, interconnected systems. We focus on developing algorithms that can handle uncertainty, learn from rich relational data, and support interpretability.
Our research spans several interconnected fields, including Machine Learning, where we develop innovative methods for solving data-driven problems, and Semantic Web/Description Logics to enhance machine understanding, reasoning and learning. Finally, a recent connection between Statistical Relational AI and Process Mining lies in their shared focus on understanding complex, data-rich environments with inherent uncertainties and dependencies.
The research group is coordinated by Prof. Elena Bellodi alongside the research team:
Michela Vespa, PhD student;
Francesco Resca, Research Assistant;
Francesco Bartoli, Research Assistant;
Giuseppe Chessa, Research Assistant;
Leonardo Rastelli, Research Assistant.
2024 Best Paper Award at the 3rd Italian Conference on Big Data and Data Science (ITADATA) for the paper Multivariate Time Series Anomaly Detection in Industry 5.0 by L. Colombi, M. Vespa, N. Belletti, M. Brina, S. Dahdal, F. Tabanelli, E. Bellodi, M. Tortonesi, C. Stefanelli, M. Vignoli (Pisa, Italy, September 17-19, 2024)
Fabrizio Riguzzi, Elena Bellodi and Riccardo Zese: winning team of the Probabilistic Track in the international Competition of the Inductive Logic Programming Conference (ILP 2016) with the SLIPCOVER software (London, UK, September 4-6, 2016)
2013 Best Paper Award at the 7th International Conference on Web Reasoning and Rule Systems (RR 2013) for the article BUNDLE: A Reasoner for Probabilistic Ontologies by R. Zese, F. Riguzzi, E. Lamma and E. Bellodi (Mannheim, Germany, July 27-29, 2013)
2010 Highly Commended Paper Award at the 4th International Conference on Knowledge Science, Engineering & Management (KSEM 2010) for the article Probabilistic declarative process mining by E. Bellodi, F. Riguzzi, and E. Lamma (Belfast, Northern Ireland, UK, September 1-3, 2010)
Probabilistic Logic Programming languages and their applications, invited tutorial at the Department of Mathematics, Computer Science and Physics of the University of Udine, Italy (2018) - Elena Bellodi
Learning from knowledge graphs at EKAW2018 (Elena Bellodi with F. Riguzzi, R. Zese, G. Cota)
Probabilistic Knowledge Representation in Machine Learning at AIxIA 2018 (Elena Bellodi with R. Zese)