Renée J. Miller
University of Toronto
Title: The Future of Data Integration
The value of data explodes when it is integrated. In this talk, I present some important innovations in data integration over the last two decades. These include data exchange, which provides a foundation for reasoning about the correctness of transformed data, and the use of declarative mappings in integration. I discuss how data mining has been used to facilitate data integration and present some important new data integration challenges that arise in data science.
Renée J. Miller is a Professor of Computer Science and the Bell Canada Chair of Information Systems at the University of Toronto. She is a fellow of the Royal Society of Canada, Canada’s National Academy, and a fellow of the ACM. She received the US Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the United States government on outstanding scientists and engineers beginning their careers. She received an NSF CAREER Award, the Premier’s Research Excellence Award, and an IBM Faculty Award. Her research is in the area of data integration and data curation. She and her co-authors received the ICDT Test-of-Time Award for their influential 2003 paper establishing the foundations of data exchange. She has served on the Board of Trustees of the VLDB Endowment and as President of the Endowment. Her research is funded by NSERC, NSF, IBM, SAP, and Bell Canada among others. She received her PhD in Computer Science from the University of Wisconsin, Madison and Bachelor’s degrees in Mathematics and in Cognitive Science from MIT.