An Ontology-Driven Framework for Data Transformation in Scientific Workflows

@inproceedings{Bowers2004AnOF,
  title={An Ontology-Driven Framework for Data Transformation in Scientific Workflows},
  author={Shawn Bowers and Bertram Lud{\"a}scher},
  booktitle={DILS},
  year={2004}
}
Ecologists spend considerable effort integrating heterogeneous data for statistical analyses and simulations, for example, to run and test predictive models. Our research is focused on reducing this effort 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… CONTINUE READING
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