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Published Articles >> Table of Contents >> Abstract
22nd International Conference on Data Engineering Workshops (ICDEW'06)
p. x104
Category-based Functional Information Modeling for eChronicles
Pilho Kim, Georgia Institute of Technology
Ramesh Jain, University of California, Irvine
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDEW.2006.38
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| Abstract |
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In this paper, a category-based information model is introduced
for eChronicles. It features the use of an e-node to
represent the identity of information and uses categorized
relationships to represent the relations of grouped information
sets while preserving their internal data set structures.
Our approach separates a data set and its symbolic objects
by introducing an e-node between them and merging
those pairs through categorical transformation. Our model
also supports a functional system representation using functors
and natural transformation in category theory to handle
complex information processing and to handle complex
information processing and the relationships between functions
in a canonical way. We demonstrate our theory by
converting scattered heterogeneous information into structured
data usable by eChronicles. In this paper our focus
is on presenting the theoretical framework that we are developing
to represent heterogeneous data in way that allows
preservation of essential characteristics of data and
the processes used to extract symbols from the data.
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 Additional Information
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Citation:
Pilho Kim, Ramesh Jain,
"Category-based Functional Information Modeling for eChronicles,"
icdew,
p. x104,
22nd International Conference on Data Engineering Workshops (ICDEW'06),
2006
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