Abstract

Workflows are increasingly used in science to manage complex computations and data processing at large scale. Intelligent workflow systems provide assistance in setting up parameters and data, validating workflows created by users, and automating the generation of workflows from high-level user guidance. These systems use semantic workflows that extend workflow representations with semantic constraints that express characteristics of the data and analytic models. Reasoning algorithms propagate these semantic constraints throughout the workflow structure, select executable components for underspecified steps, and suggest parameter values. Semantic workflows also enhance provenance records with abstract steps that reflect the overall data analysis method rather than just execution traces. Intelligent workflow systems are provenance-aware, since they both use and generate provenance and metadata …

Date

January 1, 1970

Authors

Y Gil

Journal

AGU Fall Meeting Abstracts

Volume

2013

Pages

IN53E-04