We describe a corpus of provenance traces that we have collected by executing 120 real world scientific workflows. The workflows are from two different workflow systems: Taverna [5] and Wings [3], and 12 different application domains (see Figure 1). Table 1 provides a summary of this PROV-corpus
As scientific workflows, and the data they operate on, grow in size and complexity, the task of defi...
In this work, we used the PROV-DM model to manage data provenance in workflows of genome projects. T...
We present a technique to capture retrospective provenance across a number of tools in a statistical...
We describe a corpus of provenance traces that we have collected by executing 120 real world scienti...
<p>This release contains provenance traces that have been obtained by running Taverna and Wing workf...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
Apache Taverna is a scientific workflow system for combining web services and local tools. Taverna r...
This paper presents an extension to the W3C PROV provenance model, aimed at representing process str...
International audiencePROV has been adopted by a number of workflow systems for encoding the traces ...
Workflow provenance is a crucial part of a workflow system as it enables data lineage analysis, erro...
This paper presents an extension to the W3C PROV1 provenance model, aimed at representing process st...
Scientific workflows are commonly used to model and execute large-scale scientific experiments. They...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
Provenance plays a major role when understanding and reusing the methods applied in a scientic exper...
Journal ArticleThe automated tracking and storage of provenance information promises to be a major a...
As scientific workflows, and the data they operate on, grow in size and complexity, the task of defi...
In this work, we used the PROV-DM model to manage data provenance in workflows of genome projects. T...
We present a technique to capture retrospective provenance across a number of tools in a statistical...
We describe a corpus of provenance traces that we have collected by executing 120 real world scienti...
<p>This release contains provenance traces that have been obtained by running Taverna and Wing workf...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
Apache Taverna is a scientific workflow system for combining web services and local tools. Taverna r...
This paper presents an extension to the W3C PROV provenance model, aimed at representing process str...
International audiencePROV has been adopted by a number of workflow systems for encoding the traces ...
Workflow provenance is a crucial part of a workflow system as it enables data lineage analysis, erro...
This paper presents an extension to the W3C PROV1 provenance model, aimed at representing process st...
Scientific workflows are commonly used to model and execute large-scale scientific experiments. They...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
Provenance plays a major role when understanding and reusing the methods applied in a scientic exper...
Journal ArticleThe automated tracking and storage of provenance information promises to be a major a...
As scientific workflows, and the data they operate on, grow in size and complexity, the task of defi...
In this work, we used the PROV-DM model to manage data provenance in workflows of genome projects. T...
We present a technique to capture retrospective provenance across a number of tools in a statistical...