Database Research Group Events

Spring 2012

Events of interest to the Database Research Group are posted here, and are also mailed to the uw.cs.database newsgroup and the db-faculty, db-grads, db-friends mailing lists. Subscribe to one of these mailing lists to receive e-mail notification of upcoming events.

The DB group meets Wednesday afternoons at 2:30pm. The list below gives the times and locations of upcoming meetings. Each meeting lasts for an hour and features either a local speaker or, on Seminar days, an invited outside speaker. Everyone is welcome to attend.

Spring 2012 Events


DB Meeting: Wednesday May 2, 2:30pm, DC 1331
Speaker: Tamer Özsu
Title: RDF Data Management Using Graph Algorithms
Abstract: Resource Description Framework (RDF) has been proposed for modeling Web objects as part of developing the "semantic web". It has also gained attention as a way to accomplish web data integration. As the volume of RDF data has increased, interesting data management issues have arisen. In this talk I will discuss some of our recent work in this area, focusing on two results: answering SPARQL queries over RDF graphs, and processing aggregate SPARQL queries. The first problem focuses on evaluating SPARQL queries with wildcards over an RDF graph that sees frequent updates. We propose an approach that maps both the RDF data and the SPARQL query into graphs and converts the query evaluation problem to one of subgraph matching. In order to speed up query processing, we propose an indexing mechanism and pruning rules to reduce the search space. The second problem addresses the processing of aggregation queries over large RDF data sets. We propose a processing approach that partitions aggregate queries into smaller parts (called star queries), processes these efficiently, and joins the results of star queries to obtain more general results. We develop indexes to assist in executing star queries and to facilitate joining their results.

DB Meeting: Wednesday May 9, 2:30pm, MC 5136
Speaker: Lukasz Golab
Title: Data Warehouse Quality
Abstract: In this talk, I'll present a book chapter on data warehouse quality that will appear in the Handbook of Research and Practice in Data Quality. I'll discuss data quality metrics such as freshness, currency, completeness and consistency, and approaches to improving data quality such as error detection, error correction and distributed data quality monitoring. This is work in progress, so comments are welcome!

DB Meeting: Wednesday May 30, 2:30pm, DC 3313
Speaker: Ashraf Aboulnaga
Title: Defining a Big Data Research Agenda for Waterloo
Abstract: There is currently a lot of interest in Big Data as a research area. From 30,000 feet, the concept is clear: we have data that is big and useful and we need to make sense of it. However, if we zoom in and try to define what it means to do research on Big Data, the picture becomes fuzzy. One has a hard time defining a crisp research agenda in this area.

In this meeting I will moderate an open discussion among the attendees about Big Data research, with the goal of reaching a better understanding of this area and possibly finding common ground for collaborative research projects in Waterloo.


DB Meeting: Wednesday June 6, 2:30pm, DC 1331
Speaker: Jeff Pound
Title: TBD
Abstract:

DB Meeting: Wednesday June 13, 2:30pm, DC 1331
Speaker: Gunes Aluc
Title:
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DB Meeting: Wednesday June 20, 2:30pm, DC 1331
Speaker: Khuzaima Daudjee
Title:
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DB Seminar: Wednesday June 27, 2:30pm, DC 1302
Speaker: TBD
Title: TBD

DB Meeting: Wednesday July 11, 2:30pm, DC 1331
Speaker: Xin Liu
Title:
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DB Meeting: Wednesday July 18, 2:30pm, DC 1331
Speaker: David Toman
Title: TBD
Abstract:

DB Meeting: Wednesday July 25, 2:30pm, DC 1331
Speaker: Peter Bumbulis
Title: TBD
Abstract:

DB Meeting: Wednesday August 1, 2:30pm, DC 1331
Speaker: Cătălin Avram
Title: TBD
Abstract:

This page is maintained by Ken Salem.

Campaign Waterloo

Database Research Group
David R. Cheriton School of Computer Science
University of Waterloo
Waterloo, Ontario, Canada N2L 3G1
Tel: 519-888-4567
Fax: 519-885-1208

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