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Published Articles >> Table of Contents >> Abstract
Services Computing, 2004 IEEE International Conference on (SCC'04)
pp. 145-152
Integrating Text Mining into Distributed Bioinformatics Workflows: A Web Services Implementation
Rob Gaizauskas, University of Sheffield, UK
Neil Davis, University of Sheffield, UK
George Demetriou, University of Sheffield, UK
Yikun Guo, University of Sheffield, UK
Ian Roberts, University of Sheffield, UK
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SCC.2004.1358001
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| Abstract |
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Workflows are useful ways to support scientific researchers
in carrying out repetitive analytical tasks on digital
information. Web services can provide a useful implementation
mechanism for workflows, particularly when they
are distributed, i.e., where some of the data or processing
resources are remote from the scientist initiating the workflow.
While many scientific workflows primarily involve operations
on structured or numerical data, all interpretation
of results is done in the context of related work in the field,
as reflected in the scientific literature. Text mining technology
can assist in automatically building helpful pathways
into the relevant literature as part of a workflow in order
to support the scientific discovery process. In this paper
we demonstrate how these three technologies - workflows,
text mining, and web services - can be fruitfully combined
in order to support bioinformatics researchers investigating
the genetic basis of two physiological disorders - Graves'
disease and Williams syndrome.
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 Additional Information
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Citation:
Rob Gaizauskas, Neil Davis, George Demetriou, Yikun Guo, Ian Roberts,
"Integrating Text Mining into Distributed Bioinformatics Workflows: A Web Services Implementation,"
scc,
pp. 145-152,
Services Computing, 2004 IEEE International Conference on (SCC'04),
2004
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