Miller Lab: Home

News

05 October 2017
Prof. Jian Pei from Simon Fraser University will give a talk on Graph Computing Engines on October 18th at 3 PM in BA7231.
05 October 2017
Dr. Dong Deng from MIT will give a talk on Finding Related Sets today on October 18th at 4 PM in BA7231.
01 September 2017
Our demo paper Interactive Navigation of Open Data Linkages won VLDB ‘17 best demo award!
28 June 2017
Dr. C. Mohan, an IBM fellow, will give a talk, “New Era in Distributed Computing with Blockchains and Databases”, on Wednesday, July 05, 2017, at 2 PM, in BA7231. See details.
27 June 2017
Eric will be giving a practice talk of his paper “Auto-Join: Joining Tables by Leveraging Transformations”, accepted to VLDB’17, today at 2pm.
05 June 2017
Xu chu from University of Waterloo will be giving a talk, “Data Cleaning: The Hardest Job in Data Science” on Monday, June 5, 2017 in BA7231.
20 April 2017
Prof. Fei Chiang from McMaster University will give a talk on Data Cleanig on April 20, 2017 at 11am.
25 March 2017
Dr. Bobbie Cochrane from IBM New York will be giving an informal tutorial on Blockchain in the Database Lab (BA7230) on Monday, March 27 at 12:10pm.

Projects

In recent years, enterprises and governments have accumulated massive amount of unprocessed analytical data sets, due to the speed of consuming through data warehousing not keeping up with the speed of data ingestion. This trend has led to the emergence of data lakes – collections of data sets stored in their raw formats, and data scientists are increasingly obtaining data directly from data lakes rather than traditional data warehouses. In this work, we attempt to answer the question “are data lakes positive asset to data scientists, or a source of endless trouble?” We use first-hand information gathering, including interviews and surveys, over diverse subjects including corporations, governments, and academic institutions, regarding the level of adoption of data lakes, sophistication of use, existing system architectures for data lakes, user interfaces, analytic tools, and critical problems that are hampering effective use of data lakes. We are conducting research to understand industry problems related to data lakes. Our research will create awareness in the data management research community of important practical problems involving data lakes and encourage new research. Survey Link. This research will be conducted by PhD candidate Eric Zhu and postdoc consultant Dr Clint V. Sieunarine under the supervision of Professor Renée Miller.

iBench

The first metadata generator that can be used to evaluate a wide-range of integration tasks.

Data Quality

Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often arises when domain constraints and business rules, meant to preserve data consistency and accuracy, are enforced incompletely or not at all in application code. In this work, we are studying how to detect errors in data. In a sister project, BART, we provide a scalable way to generate dirty data to systematically evaluate data cleaning systems.

LinkedCT

A Linked Data Space for Clinical Drug Trials (a part of Linking Open Drug Data (LODD) project at W3C).

Data Exchange & Schema Mappings: the theory behind Clio

Data exchange is the problem of taking data structured under a source schema and creating an instance of a target schema that reflects the source data as accurately as possible. In this project, we address foundational and algorithmic issues related to the semantics of data exchange and to the query answering problem in the context of data exchange. These issues arise because, given a source instance, there may be many target instances that satisfy the constraints of the data exchange problem, or none at all.

Past Projects

xCurator Data Curation for Semistructured Web Data
Vivification in Business Intelligence
LinQuer Linkage Query Writer
BibBase3 (BibBase Triplified) The easiest way to set up and maintain your publications page. BibBase facilitates the dissemination of scientific publications over the Internet and transforms your publications page into a Linked Data Space.
Stringer Duplicate Detection System for String Data
Clio Creating and managing schema mappings
ConQuer Efficient management and querying of inconsistent data
Hyperion Data management support for dynamic peer-to-peer data sharing applications
Iliads Leveraging data and structure in ontology integration
Limbo Structure discovery in large datasets
ToMAS Managing and evolving schema mappings

Find Us

Bahen Centre, Room 7230
40 St George St, Toronto, ON, M5S 2E4
Canada

People

Visitors

Radu Ciucanu: Associate Professor, Université Clermont Auvergne
Adel Benaissa

Alumni

Natasha Prokoshyna: MSc, IBM Toronto
Patricia (Rodriguez-Gianolli) Arocena: PhD, Post-Doc (former Research Associate and Associate Director of NSERC BIN)
Fei Chiang: PhD, Assistant Professor, Computer Science, McMaster University
Hojjat Ghaderi: Post-doc, Two Sigma Investments
Boris Glavic: Post-doc, Assitant Professor, Illinois Institute of Technology
Oktie Hassanzadeh: PhD, Researcher, IBM TJ Watson Research Labs
Reynold Xin: B.Eng, currently PhD Student at Berkeley, co-founder DataBricks
Flavio Rizzolo: PhD, Researcher at Statistics Canada
Ariel Fuxman: PhD, Research Scientist Google
Ken Pu: PhD, Adjunct Professor, Associate Professor, Computer Science, Faculty of Science, UOIT
Yaron Kanza: Post-doc, Technion – Israel Institute of Technology
Chul (Hyun) Lee: Post-doc, CTO and Co-Founder Thoora, now at LinkedIn
Anastasios Kementsietsidis: PhD, Senior Research Scientist Google
Yannis Velegrakis: PhD, Associate Professor, University of Trento
Periklis Andritsos: PhD, Assistant Professor, Faculty of Information, University of Toronto