Abstract
Currently, there are no general provenance management systems or tools available for existing applications. Our goal is to develop provenance technology that is flexible and adaptable to the wide range of requirements of software applications. By consolidating provenance information for a variety of applications, we can provide a uniform environment for querying, sharing, and re-using provenance in large-scale, collaborative settings. In this paper, we describe our framework for provenanceenabling existing applications. Our approach is applicable to a variety of software systems that are process driven. As a concrete example, we describe a working plug-in for an open source application in scientific visualization.
Cite
CITATION STYLE
Callahan, S. P., Freire, J., Scheidegger, C. E., Silva, C. T., & Vo, H. T. (2008). Towards provenance-enabling paraview. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5272, pp. 120–127). Springer Verlag. https://doi.org/10.1007/978-3-540-89965-5_13
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