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Abstract: Ecologists spend considerable e#ort integrating heterogeneous data for statistical analyses and simulations, for example, to run and test predictive models. Our research is focused on reducing this e#ort by providing data integration and transformation tools, allowing researchers to focus on "real science," that is, discovering new knowledge through analysis and modeling. This paper defines a generic framework for transforming heterogeneous data within scientific workflows. Our approach... (Update)
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BibTeX entry: (Update)
S. Bowers and B. Lud ascher. An ontology-driven framework for data transformation in scientific workflows. In Proc. of the 1st Intl. Workshop on Data Integration in the Life Sciences (DILS), volume 2994 of LNCS, pages 1--16, 2004. http://citeseer.ist.psu.edu/bowers04ontologydriven.html More
@misc{ bowers04ontologydriven,
author = "S. Bowers and B. ascher",
title = "An ontology-driven framework for data transformation in scientific workflows",
text = "S. Bowers and B. Lud ascher. An ontology-driven framework for data transformation
in scientific workflows. In Proc. of the 1st Intl. Workshop on Data Integration
in the Life Sciences (DILS), volume 2994 of LNCS, pages 1--16, 2004.",
year = "2004",
url = "citeseer.ist.psu.edu/bowers04ontologydriven.html" }
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