Research

My research interests lie in the broad area of database systems, with primary focus on probabilistic databases, statistical relational learning and uncertain data management.

Publications

(DBLP, Google Scholar, ORCID, ACM)

  • StarfishDB: A Query Execution Engine for Relational Probabilistic Programming
    Ouael Ben Amara, Sami Hadouaj, and Niccolò Meneghetti
    SIGMOD 2024, Vol 2, no. 3, pages 1-31. (pdf, acm)

  • Gamma Probabilistic Databases: Learning from Exchangeable Query-Answers
    Niccolò Meneghetti, Ouael Ben Amara
    EDBT 2022, Vol 25, pages 260–273. (pdf, yt)

  • Learning From Query-Answers: A Scalable Approach to Belief Updating and Parameter Learning
    Niccolò Meneghetti, Oliver Kennedy and Wolfgang Gatterbauer
    TODS 2018, special issue on "Best of SIGMOD 2017 Papers",
    Volume 43 Issue 4, December 2018, Article No. 17.
    (pdf, acm)

  • Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning
    Niccolò Meneghetti, Oliver Kennedy and Wolfgang Gatterbauer
    SIGMOD 2017, Pages 573-586 (pdf, acm, yt)

  • Output-sensitive Evaluation of Prioritized Skyline Queries
    Niccolò Meneghetti, Denis Mindolin, Paolo Ciaccia and Jan Chomicki
    SIGMOD 2015, Pages 1955-1967. (pdf, acm)

  • Lenses: An On-Demand Approach to ETL
    Y. Yang, N. Meneghetti, R. Fehling, Z.H. Liu and O. Kennedy
    VLDB 2015, Volume 8 Issue 12, August 2015. Pages 1578-1589. (pdf, acm)

  • Probabilistic Skylines
    Niccolò Meneghetti
    In Liu L., Özsu M. (eds) Encyclopedia of Database Systems (2016)
    Springer, New York, NY
    . (doi)

  • Skyline queries, front and back
    Jan Chomicki, Paolo Ciaccia and Niccolò Meneghetti
    SIGMOD Record Vol. 42, Issue 3, Pages 6-18, 2013. (acm)