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Technical Report TR672:
Towards Quantifying Limits in Automated Curation of e-Science Data
Beth Plale, You-Wei Cheah, and Yiming Sun
Unknown Date, 3 pages
- Abstract:
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Workflow systems are an increasingly popular e-Science tool for executing complex sequences of tasks. The large volumes of data created during the course of these computationally intense and data-driven scientific investigations drives research in techniques to automate metadata capture to relieve the burden on the user of manual annotation. In this paper we describe our experience to date in quantifying the limits of automated metadata collection in e-Science workflow systems.
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