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
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...
Data provenance, or data lineage, describes the life cycle of data. In scientific workflows on HPC s...
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 ...
International audiencePROV has been adopted by a number of workflow systems for encoding the traces ...
This paper presents an extension to the W3C PROV provenance model, aimed at representing process str...
Apache Taverna is a scientific workflow system for combining web services and local tools. Taverna r...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
This paper presents an extension to the W3C PROV1 provenance model, aimed at representing process st...
Workflow provenance is a crucial part of a workflow system as it enables data lineage analysis, erro...
Scientific workflows are commonly used to model and execute large-scale scientific experiments. They...
Journal ArticleThe automated tracking and storage of provenance information promises to be a major a...
Provenance plays a major role when understanding and reusing the methods applied in a scientic exper...
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...
Data provenance, or data lineage, describes the life cycle of data. In scientific workflows on HPC s...
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 ...
International audiencePROV has been adopted by a number of workflow systems for encoding the traces ...
This paper presents an extension to the W3C PROV provenance model, aimed at representing process str...
Apache Taverna is a scientific workflow system for combining web services and local tools. Taverna r...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
This paper presents an extension to the W3C PROV1 provenance model, aimed at representing process st...
Workflow provenance is a crucial part of a workflow system as it enables data lineage analysis, erro...
Scientific workflows are commonly used to model and execute large-scale scientific experiments. They...
Journal ArticleThe automated tracking and storage of provenance information promises to be a major a...
Provenance plays a major role when understanding and reusing the methods applied in a scientic exper...
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...
Data provenance, or data lineage, describes the life cycle of data. In scientific workflows on HPC s...