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Data
Management
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| Database
Systems |
Projects |
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are investigating fundamental research issues for the next generation
of highly scalable, high performance database and decision support
systems. Our research stretches from low-level data access layers
of relational database systems to high-level semantic reasoning. |
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| Intelligent
Information Analysis and Unstructured Information Mining |
Projects |
| We
are investigating fundamental research issues involved in
the automatic extraction of intelligent information from unstructured
information such as images, audio, video, rich text, as well
as heterogeneous distributed sensor networks. The common goal
across all projects in this area is to apply machine learning,
signal processing and database techniques to extract information
that can be used for accessing the unstructured data at a
semantic level. This analysis will help build solutions for
semantic enrichment and repurposing of the unstructured data.
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| Self
Managing and Resource Tuning (SMART) |
Projects |
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SMART is part of IBM's autonomic computing initiative to help
reduce complexity and improve quality of service through the
advancement of self-managing capabilities within a database
environment.
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Past Projects |
Projects |
| We
have initiated several projects in the area of XML data management
with the aim of providing comprehensive support for processing structured
and semistructured data using native storage abstractions and Xquery
and SQL/XML query languages. |
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