Michael Lawrence
I am a PhD student in the Data Management and
Mining Lab in the Department of
Computer Science at the University
of British Columbia. I am supervised by
Rachel Pottinger.
My thesis work is on the application of data coordination: where two
autonomous, heterogeneous data sources are related so that the contents of
one source (B) depend on the contents of another (A). An example is the cost
estimate (B) and architectural design (A) in a large building project. The
nature of these relationships (e.g., involving aggregation) is such that
traditional formalisms for coordination, such as event-condition-action
rules (or triggers), are awkward or unsuitable. We propose an approach using
declarative mappings, and study the problems which arise in implementing
this approach efficiently and for a broad variety of real world coordination
scenarios.
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Page last modified: January 30, 2009