Paolo Papotti

Bio Notes

Paolo Papotti got his Ph.D. degree from the University of Roma Tre (Italy) in 2007 and is an associate professor in the Data Science department at EURECOM (France) since 2017. Before joining EURECOM, he has been a scientist in the data analytics group at QCRI (Qatar) and an assistant professor at Arizona State University (USA). His research is in the broad areas of scalable data management and information quality, with a focus on data integration and computational claim verification.

News

(Complete list)

• 4/2021 - Invited talk 'Computational fact checking is real, but will it stop misinformation?' at the Workshop on Misinformation Integrity in Social Networks' (@TheWebConf).
• 4/2021 - Survey on 'Automated Fact-Checking for Assisting Human Fact-Checkers' accepted at IJCAI 2021.
• 3/2021 - Keynote on 'Data Challenges in Disinformation Diffusion Analysis' at the Processing Information Ethically workshop.
• 2/2021 - Research paper on 'Few-shot Knowledge Validation using Rules' accepted at TheWebConf 2021.
• 10/2020 - Best demo award at BDA 2020 for our fact checking system Scrutinizer.
• 9/2020 - Keynote talk at DEXA 2020 on 'Explainable Checking for Statistical and Property Claims'.

Recent Activities

(Complete list)

• PC Co-Chair: TTO 2021, MisInfo 2019
• Tutorial Co-Chair: EDBT 2022
• Associate Editor: PVLDB 2020-2022, ACM JDIQ
• PC Member: SIGMOD 2022, SIGMOD 2021, ICDE 2021, EDBT 2021, KDD 2021, BDA 2021

Selected Publications

Data Cleaning

• R. Cappuzzo, P. Papotti, S. Thirumuruganathan
  Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks.
  In SIGMOD, 2020. (.pdf) (code) (video)
• S. Ortona, V. Meduri, P. Papotti
  Robust Discovery of Positive and Negative Rules in Knowledge-Bases.
  In ICDE, 2018. (Tech. Report) (code) (.pdf)
• R. Singh, V. Meduri, A. Elmagarmid, S. Madden, P. Papotti, J. Quiane, N. Tang, A. Solar
  Synthesizing Entity Matching Rules by Examples.
  PVLDB, 2016. (.pdf)
• E. Veltri, D. Santoro, G. Mecca, P. Papotti, J. He, G. Li, N. Tang
  Interactive and Deterministic Data Cleaning.
  In SIGMOD, 2016. (.pdf)
• Z. Abedjan, X. Chu, D. Deng, R. Fernandez, I. Ilyas, M. Ouzzani, P. Papotti, M. Stonebraker, N. Tang
  Detecting Data Errors: Where are we and what needs to be done?.
  PVLDB, 2016. (.pdf)
• F. Geerts, G. Mecca, P. Papotti, D. Santoro.
  The LLUNATIC Data-Cleaning Framework.
  PVLDB, 2013. (.pdf) (code)
• X. Chu, I. Ilyas, P. Papotti
  Discovering Denial Constraints.
  PVLDB, 2013. (.pdf)

Computational Fact Checking

• G. Karagiannis, M. Saeed, P. Papotti, I. Trummer.
  Scrutinizer: a mixed-initiative approach to large-scale, data-driven claim verification.
  PVLDB, 2020. (.pdf) (code) (video)
• P. Huynh, P. Papotti.
  A Benchmark for Fact Checking Algorithms Built on Knowledge Bases.
  CIKM, 2019. (.pdf) (code)
• N. Ahmadi, J. Lee, P. Papotti, M. Saeed.
  Explainable Fact Checking with Probabilistic Answer Set Programming.
  Conference for Truth and Trust Online (TTO), 2019. (.pdf)

Data Exchange

• P. Atzeni, L. Bellomarini, P. Papotti, R. Torlone.
  Meta-Mappings for Schema Mapping Reuse.
  PVLDB, 2019. (.pdf)
• B. Marnette, G. Mecca, P. Papotti.
  Scalable Data Exchange with Functional Dependencies.
  PVLDB, 2010. (.pdf) (.ppt) (code)
• G. Mecca, P. Papotti, S. Raunich.
  Core Schema Mappings.
  In SIGMOD Conference, 2009. (.pdf) (.ppt) (tech. report) (code)
• M.A. Hernandez, P. Papotti, W.C. Tan.
  Data Exchange with Data-Metadata Translations.
  In VLDB Conference, 2008. (.pdf) (.ppt)
• A. Raffio, D. Braga, S.Ceri, P. Papotti, M.A. Hernandez.
  Clip: a Visual Language for Explicit Schema Mappings.
  In ICDE Conference, 2008. (.pdf)
• A. Fuxman, M.A.Hernandez, H.Ho, R.J. Miller, P. Papotti, L.Popa.
  Nested Mappings: Schema Mapping Reloaded.
  In VLDB Conference, 2006. (.pdf) (.ppt)

Web Data Extraction and Integration

• M. Bronzi, V. Crescenzi, P. Merialdo, P. Papotti.
  Extraction and Integration of Partially Overlapping Web Sources.
  PVLDB, 2013. (.pdf)
• L.Blanco, V.Crescenzi, P.Merialdo, P.Papotti.
  Probabilistic Models to Reconcile Complex Data from Inaccurate Data Sources.
  In CAiSE Conference, 2010. (.pdf)

Schema Exchange

• P. Papotti and R. Torlone.
  Schema exchange: Generic mappings for transforming data and metadata.
  In Data & Knowledge Engineering, 2009. (.pdf)
• P. Papotti and R. Torlone.
  Automatic Generation of Model Translations.
  In CAiSE Conference, 2007. (.pdf)