Abstract
We give an overview of VisTrails, a system that provides an infrastructure for systematically capturing detailed provenance and streamlining the data exploration process. A key feature that sets Vis-Trails apart from previous visualization and scientific workflow systems is a novel action-based mechanism that uniformly captures provenance for data products and workflows used to generate these products. This mechanism not only ensures reproducibility of results, but it also simplifies data exploration by allowing scientists to easily navigate through the space of workflows and parameter settings for an exploration task. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Freire, J., Silva, C. T., Callahan, S. P., Santos, E., Scheidegger, C. E., & Vo, H. T. (2006). Managing rapidly-evolving scientific workflows. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4145 LNCS, pp. 10–18). Springer Verlag. https://doi.org/10.1007/11890850_2
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
