The Knowledge Management Lab in the Department of Computer
Science at the University of
Toronto conducts research into the representation, organization,
acquisition, retention and analysis of knowledge. Research in knowledge
management is driven by a very practical and very common problem --
information overload. It has been estimated
that the world's annual production of information as of 2002 would
require 5 billion gigabytes of storage and that this number is growing
by about 30% annually.
The Knowledge Management Lab conducts both basic and applied
research in support of concepts, methodologies and software tools for
the management of knowledge. Much of our research centres around
models -- semantic models, conceptual models, ontologies,
models of intentional actors and the relationships between them. In
addition to conducting basic research into such models, we
make practical use of them in a wide range of projects to, for
example, represent the common
knowledge of groups of knowledge workers, to answer questions about
security and privacy in the Internet, to organize medical knowledge in
order to answer clinical questions, and more.
Please browse our website to learn more about our projects.
Designed and maintained by Greg Lapouchnian.
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