Dr. Paolo Papotti

paolo
Senior Scientist
Data Analytics
+(974) 4454 2968

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I have joined QCRI because of the great scientists and the great research opportunities they offered me.

Research Focus at QCRI

At QCRI, Paolo’s current main interests are in data quality: how to help users in increasing the value of their data. It is well known that data available within organizations is dirty and we are building a system, Nadeef, that sets the new state of the art for the data cleaning process.

Previous Experience

Previously, Paolo’s most important results have been in the area of information integration. In particular, he explored new formalisms and algorithms for the problem of translating data between heterogeneous repositories. He has been working also on automatic Web data extraction and integration.

Professional Experience

  • Feb.'11/Feb.'12 - Assistant Professor (Ricercatore TD) at Universita' Roma Tre.
  • Feb.'08/Jan.'11 - Post-Doc researcher at Universita' Roma Tre.
  • Sept.'07/June'08 - Post-Doc Scholar at University California Santa Cruz:
  • Feb.'07/Jan.'08 - Post-Doc at Universita' Roma Tre.
  • Sept.'05/March'06 - Visiting IBM Almaden research center, California.

Professional Associations and Awards

  • PC Member Group Leader: SIGMOD (2016)
  • Recent PC Member: WSDM (2016), SIGMOD (demo-2016), EDBT (2016, 2014-2012), VLDB (2015), ICDE (2015), SIGMOD (2013,2011), SIGMOD/VLDB Repeatability (2013-2010), WWW 2012.
  • PC Chair: DaLi 2011, QDB 2011
  • Associate Editor of the ACM Journal on Data and Information Quality (JDIQ).
  • Best Demo Award at SIGMOD 2015


Education

  • PhD Computer Science, Universita’ Roma Tre, Italy, 2007
  • Master Computer Science, Universita’ Roma Tre, Italy, 2003

Selected Research

  • Discovering Denial Constraints: The 40th International Conference on Very Large Data Bases (VLDB), Hangzhou, China, 2014 - Xu Chu, Ihab Ilyas, Paolo Papotti
  • Mapping and Cleaning: The 30th International Conference on Data Engineering (ICDE), Chicago, USA, 2014 - Floris Geerts, Giansalvatore Mecca, Paolo Papotti, and Donatello Santoro
  • Future Locations Prediction with Uncertain Data: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Prague, Czech Republic, 2013 - Disheng Qiu, Paolo Papotti, and Lorenzo Blanco.
  • Extraction and Integration of Partially Overlapping Web Sources: The 39th International Conference on Very Large Data Bases (VLDB), Riva Del Garda, Italy, 2013 - Mirko Bronzi, Valter Crescenzi, Paolo Merialdo, and Paolo Papotti.
  • The Llunatic Data Cleaning Framework: The 39th International Conference on Very Large Data Bases (VLDB), Riva Del Garda, Italy, 2013 - Floris Geerts, Giansalvatore Mecca, Paolo Papotti, and Donatello Santoro.
  • Holistic Data Cleaning: Put Violations Into Context: The 29th International Conference on Data Engineering (ICDE), Brisbane, Australia, 2013 - Xu Chu, Paolo Papotti, and Ihab Ilyas
  • What is the IQ of your data transformation system? The 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012 - Giansalvatore Mecca, Paolo Papotti, Salvatore Raunich, and Donatello Santoro
  • B. Marnette, G. Mecca, P. Papotti. Scalable Data Exchange with Functional Dependencies. In VLDB Conference, 2010.
  • G. Mecca, P. Papotti, S. Raunich. Core Schema Mappings. In SIGMOD Conference, 2009.
  • M.A. Hernandez, P. Papotti, W.C. Tan. Data Exchange with Data-Metadata Translations. In VLDB Conference, 2008.
  • A. Raffio, D. Braga, S.Ceri, P. Papotti, M.A. Hernandez. Clip: a Visual Language for Explicit Schema Mappings. In ICDE Conference, 2008.
  • A. Fuxman, M.A.Hernandez, H.Ho, R.J. Miller, P. Papotti, L.Popa. Nested Mappings: Schema Mapping Reloaded. In VLDB Conference, 2006.

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In the Media

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Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

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Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

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Upcoming Events

Past Events

2018

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QCRI Summer Internship Program

Download ICS File 06/05/2018  - 05/07/2018 , Hamad Bin Khalifa Research Complex

Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.

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Public Talk by Prof. Regina Barzilay "Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text"

Download ICS File 27/03/2018 ,

Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text A talk by Professor Regina Barzilay, MIT CSAIL Winner of 2017 MacArthur ‘genius grant’ At Education City Student ...

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QCRI & MIT-CSAIL Annual Project Review 2018

Download ICS File 27/03/2018 ,

Executive Overview Sessions Open to public Date:    Tuesday, March 27, 2018 Time:    9:00AM – 3:00PM Venue:  HBKU Research Complex Multipurpose Room To view full agenda, please click here . To RSVP, ...

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News Releases

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QCRI to offer kids’ computing activities at this year’s Darb Al Saai

03/12/2018

Tech fun and robotics computing activities will be available to children attending the annual family celebration from December 12 to 20.

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Global experts in artificial intelligence for transportation to visit Qatar for TASMU-QCAI workshop

18/11/2018

Urban computing experts from Europe, the US and Qatar are to discuss state-of-the-art advances in artificial intelligence for transportation with local stakeholders.

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QCAI to Conduct Joint Machine Learning School with BigML

16/10/2018

Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.

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