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UIC is the lead institution on a
prestigious NSF Information Technology Grant for a $2M
project entitled Context-Aware Computing
with Applications to Public Health Management. The PI is Isabel F.
Cruz and the co-PIs are Ouri
Wolfson and Aris
Ouksel. This project is in
collaboration with Roberto Tamassia at Brown University and with Peter Scheuermann at Northwestern University. This project will create an architecture for a system that
provides comprehensive support for context-aware applications. This architecture
will make use of dynamically evolving data such as measurement streams collected
by sensors, or Web services that execute requests on behalf of transactions.
Data integration tools and ontologies will be developed and then applied to
actual source data, to user profiles, and to the diverse problems of matching
users with data sources and relevant courses of action. This activity will be
augmented by the use of data mining techniques for dynamically constructing
spatio-temporal user profiles and for profile classification. Methodologies will
be developed to ensure scalability of the system. For example, the use of data
cubes for caching user profiles and retrieved data, and the use of request
aggregation. An authentication model will be developed using a distributed trust
framework that will be applied to spatio-temporal context and data streams. The
architecture will also incorporate a component for services arbitration that can
manage on-demand resource allocation in a competitive environment. A system
prototype will be tested against the operational scenario of a public health
management application, provided by the Alliance of Chicago Community Health
Services. |