The Data Systems Group at the University of Waterloo's Cheriton School of Computer Science builds innovative, high-impact platforms, systems, and applications for processing, managing, analyzing, and searching the vast collections of data that are integral to modern information societies — colloquially known as “big data” technologies.
Our capabilities span the full spectrum from unstructured text collections to relational data, and everything in between including semi-structured sources such as time series, log data, graphs, and other data types. We work at multiple layers in the software stack, ranging from storage management and execution platforms to user-facing applications and studies of user behaviour.
Our research tackles all phases of the information lifecycle, from ingest and cleaning to inference and decision support.
News
DSG researchers use technology-assisted review to find effective treatments and procedures to mitigate COVID-19
Since the COVID-19 pandemic began, researchers and clinicians have rushed to understand the available treatments and procedures to mitigate this rapidly growing threat to human health. The sheer volume of studies published on COVID-19 — in countries spanning the globe — as well as lessons learned from prior epidemics and pandemics, simply cannot be gathered and assessed quickly enough using traditional manual methods during this time of crisis.
Professor Jimmy Lin and his colleagues create a new AI-powered search engine that makes it easier to find information in the fight against COVID-19
Cheriton School of Computer Science Professor Jimmy Lin has spearheaded the creation of a dedicated search engine for those who are engaged in the fight against COVID-19.
AI should not leave structured data behind!
The following is an article written by Professor Ihab Ilyas, a faculty member of the Data Systems Group and the Thomson Reuters Research Chair in Data Cleaning from Theory to Practice.