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Objectives
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The Centre for Information Mining and Extraction
(CHIME) is set up in the School of Computing, National University
of Singapore, with the following objectives:
- The centre is set up with objectives:To
research into the use of AI techniques for problem solving
and knowledge discovery;
- To achieve a common goal of information
mining and extraction from different AI research areas;
- To elicit meaningful and coherent knowledge
from seemingly unmanageable information mass.
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Missions
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The information age is upon us. We are overwhelmed
with myriad of information from a wide spectrum of information
sources, such as the World Wide Web, emails, images, speeches,
documents, etc. Information does not come in just in the form
of raw data. In it one finds rich knowledge which in turn brings
upon further elucidation of other knowledge from the massive
information. In the process, insightful knowledge is gained
allowing extraction of salient information for problem solving.
It is with this in mind that the centre is set up with a mission
to research into the use of AI techniques for problem solving
and knowledge discovery in the face of information explosion.
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Organizations
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Five current AI areas have been identified that
will be a synergism towards a promising paradigm in this direction:
Soft Computing:
- Funded by NSTB/MOE under the Programme
for Research into Intelligent Systems (PRIS) is investigating
a host of soft computing techniques, such as fuzzy logic,
neural networks, genetic algorithms, etc., in three areas,
namely, finance, logistics and education. Incessant generation
of daily financial data, intricate transport networks and
extensive curricular resources are examples of the massive
information that the group cannot simply ignore.
- Data Mining: Another group funded by NSTB/MOE
has started working on various knowledge discovery techniques
that will not only apply to huge databases and data warehouses,
but also on unstructured or semi-structured data such as
web information and other text-based information.
- Machine Vision: The group is actively
involved in the analysis and learning of machine vision
data of natural scenes, such as in automatic surveillance,
image segmentation by texture, and robot vision. The multitude
and complexity of the natural scene information compounds
the problem of meaningful interpretation of the scene.
- Document Analysis: Another newly formed
group also funded by NSTB/MOEis looking into the problems
of mountainous paper documents despite the long promised
goal of the paperless office. Faxing routing, news tracking
and text mining are some of the pressing problems the group
is keen to venture into.
- Cognitive Processes: This group is investigating
human behaviour by modeling complex cognitive processes
such as reading and texture perception. The mechanisms underlying
these commonplace skills allow us to explore the integration
of an immense amount of information in the brain.
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Why CHIME
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The Centre is named "Centre for Information Mining and
Extraction" and is pronounced as CHIME in short which will
also serve as the acronym for the center. CHIME is a musical
instrument, consisting of a set of bells, which, if struck properly,
will produce harmonious ringing of sound. Hence, the word CHIME
thus also means agreement accord. This is in line with the the
centre's two objectives: (1) a concerted effort in achieving
a common goal of information mining and extraction from the
five AI research areas in the School of Computing; and (2) the
elicitation of meaningful and coherent knowledge from seemingly
unmanageable information masses.
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