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Published Articles >> Table of Contents >> Abstract
18th International Conference on Scientific and Statistical Database Management (SSDBM'06)
pp. 225-234
BioFacets: Faceted Classification for Biological Information
M. Mahoui, IUPUI
Z. B. Miled, IUPUI
A. Godse, IUPUI
H. Kulkarni, IUPUI
N. Li, IUPUI
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SSDBM.2006.14
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| Abstract |
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Biologists are increasingly relying on online
biological databases to conduct their research.
Despite the availability of hundreds of such databases,
only a handful of them are effectively deployed by the
community. The main reason for this is the lack of
metadata provided by the databases, such as, the types
of data stored, its coverage, and its relationship with
other databases. Nevertheless, each database has a
potential for supporting existing research
investigations. The opportunity to leverage the wealth
of data available presents several challenges related to
data integration and representation. In this paper, we
present BioFacets, a new integration system for web
based biological databases. The main feature of this
system is the proposal of a new faceted classification
system that allows for dynamic categorization of
biological result sets. Other features of the system
include query optimization, cache management and
support for a meta-search engine that allows the
system to efficiently search across multiple online
biological databases.
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 Additional Information
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Citation:
M. Mahoui, Z. B. Miled, A. Godse, H. Kulkarni, N. Li,
"BioFacets: Faceted Classification for Biological Information,"
ssdbm,
pp. 225-234,
18th International Conference on Scientific and Statistical Database Management (SSDBM'06),
2006
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