Provenance Management in the EdiFlow VA Workflow

Jean-Daniel Fekete 1, * Wael Khemiri 2, 3 Ioana Manolescu 2, 3 Veronique Benzaken 2
* Corresponding author
1 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France
3 LEO - Distributed and heterogeneous data and knowledge
UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Most visual analytics platforms are memory-based and are therefore limited in the volume of data handled. Moreover, the integration of each new algorithm (e.g. for clustering) requires integrating it by hand into the platform. Finally, they lack the capability to define and deploy well-structured processes where users with different roles interact in a coordinated way sharing the same data and possibly the same visualizations. We have designed and implemented EdiFlow, a workflow platform for visual analytics applications. EdiFlow uses a simple structured process model and is backed by a persistent database, storing both process information and process instance data. We are now adding Provenance Management in EdiFlow since the workflow manager already maintains a rough provenance information from the structure of the modules. We are considering improving this information and would like to get feedback from the community.
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Jean-Daniel Fekete, Wael Khemiri, Ioana Manolescu, Veronique Benzaken. Provenance Management in the EdiFlow VA Workflow. CHI Workshop on Analytic Provenance: Process+Interaction+Insight, May 2011, Held in conjunction with the ACM Conference on Human Factors in Computing Systems (CHI), Vancouver,, United States. ⟨hal-00690156⟩

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