Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA

Drugs, DNA, and Dinosaurs: Building High Quality Knowledge Bases with DeepDive

Chris Re (Stanford University | Apple)
4:30pm–5:00pm Wednesday, 02/18/2015
Hardcore Data Science
Location: LL20 BC.
Average rating: *****
(5.00, 3 ratings)

We describe how DeepDive is being used in a range of tasks from diagnosing rare diseases to drug purposing to filling out the tree of life. DeepDive helps to create knowledge bases that meet—and sometimes even exceed—human-level quality and to perform predictive analytics on top of this data. We’ll describe some of these techniques that allow us to achieve these rates, and we’ll describe recent research that allows us to integrate data from text, tables, and images.

DeepDive is open source and available from

Photo of Chris Re

Chris Re

Stanford University | Apple

Christopher (Chris) Re is an assistant professor in the Department of Computer Science at Stanford University. The goal of his work is to enable users and developers to build applications that more deeply understand and exploit data. Chris received his PhD from the University of Washington in Seattle under the supervision of Dan Suciu. For his PhD work in probabilistic data management, Chris received the SIGMOD 2010 Jim Gray Dissertation Award. Chris’s papers have received four best-paper or best-of-conference citations, including best paper in PODS 2012, best-of-conference in PODS 2010 twice, and one best-of-conference in ICDE 2009). Chris received an NSF CAREER Award in 2011 and an Alfred P. Sloan fellowship in 2013.