Qatar Computing Research Institute
Discovery to Delivery
Data Analytics
Read our feature in the December 2012 Sigmod Record.
The Data Analytics group at QCRI has built expertise focused on three core data management challenges that will enable the effective use of this growing asset class: extraction from its natural digital habitat, integration from a large and evolving number of sources, and robust cleaning processes to assure data quality and validation.
The Data Trio: Extraction, Integration, and Cleaning: Institutions and industries at a national level deal with large scale, heterogeneous data collected from large number of sources. The main challenge is a judicious use of the information within and across organizations to make informed decisions and to run operations effectively.
At QCRI, we are focusing on the interaction among three core data management challenges that will enable effective use of the continuously growing data: Information Extraction, Data and Schema Integration, and Data Cleaning.
Going beyond traditional ETL approaches, we are investigating multiple new directions, including: handling unstructured data; interleaving extraction, integration, and cleansing tasks in a more dynamic and interactive process that responds to evolving data sets and real-time decision-making constraints; and leveraging the power of human cycles to solve hard problems such as data cleaning and information integration.
Scalable Knowledge Models: Grand challenges mean big data. ‘Knowledge base’ is the term commonly used to refer to data, along with the rules and the logic that describe the information within this data. Large-scale knowledge management is a core-computing challenge due to the expensive process involved in reasoning about the data and inferring the facts and the various semantics embedded within. We focus on developing efficient knowledge representation models and semantic-aware query languages and processing engines that bring semantics to real applications. Main applications domains include media and health, where current approaches are either too expensive or fall short in delivering user needs.
For technical or informational questions, please send an email to QCRI Careers with the name of the group to whom you’re directing your question, e.g. ALT, CS&E, Cyber Security, Data Analytics, Distributed Systems or Social Computing, in the subject line.
Principal Scientist
Dr. Mourad Ouzzani
To be part of something different than what I had been used to at Purdue University and contribute to the first computing research institution in the region.
Principal Scientist
Dr. Sanjay Chawla
QCRI provides an ideal environment to conduct high-impact research which can transcend disciplinary boundaries.
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Events
Past Events
2016
Qatar Foundation Annual Research Conference 2016 (ARC'16)
22/03/2016
- 23/03/2016
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The Qatar Foundation Annual Research Conference 2016 (ARC’16) will be held on 22nd and 23rd March,2016 at the Qatar National Convention Center. The conference aims to advance Qatar’s ambitious ...
21/03/2016
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QNCC Room 215-217
Organized by Qatar Computing Research Institute and MIT-Computer Science and Artificial Intelligence Laboratory
Self-Driving Cars Are Coming - Public Talk by Daniela Rus
20/03/2016
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QNCC Room 215-217
Abstract: We spend a lot of time in out cars, yet this is a part of our lives where we have been vulnerable to the world's leading cause of bodily harm. Now, the digitization of practically ...
News
QCRI’s BrailleEasy app launched on iOS store
31/08/2016
BrailleEasy, a custom one-handed Braille keyboard developed by the Qatar Computing Research Institute, is now available on the iOS App Store. The Braille keyboard was developed by Barbara Šepič, ...
QCRI researcher jointly develops new film-making technique
17/07/2016
A scientist at the Qatar Computing Research Institute (QCRI), a division of Hamad bin Khalifa University, has jointly developed technology that can recreate films and portraits in the style of ...
QCRI launches RHEEM big data app
10/07/2016
The Qatar Computing Research Institute (QCRI), a division of Hamad bin Khalifa University, has launched an application that can draw insights from big data across many software platforms. The ...
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