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Many scientific problems can be modeled as computational workflows that integrate data from heterogeneous sources and process such data to derive new results. These data analysis problems are pervasive in the physical and social sciences, as well as in government practice. Therefore, techniques that facilitate the creation of such computational workflows are of critical importance. In our work on the Argos project we are developing techniques to automatically create computational workflows in response to user data requests. As a unifying paradigm, we represent both data access and data processing operations as web services.
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