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.
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.
QCRI provides an ideal environment to conduct high-impact research which can transcend disciplinary boundaries.
In the Media
Qatar Computing Research Institute (QCRI) senior software engineer Hossam Hammady and lead scientist Dr Mourad Ouzzani. DOHA: A unique application developed in Qatar is widely helping medical ...
Speechmatics is working with the Qatar Computing Research Institute to transcribe Arabic broadcasts and audio files into text. U.K. firm Speechmatics this week announced plans to use the Qatar ...
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 ...
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 ...
QCRI’s Social Computing team members discuss plans for the summit with Dr Ahmed Elmagarmid (second from left). The Qatar Computing Research Institute (QCRI), one of Hamad bin Khalifa University’s ...
UK-based company Speechmatics is to use technology developed by the Qatar Computing Research Institute (QCRI), a division of Hamad bin Khalifa University, to take Arabic speech-to-text services to ...