International audienceScientific workflow systems are becoming increasingly im- portant for managing in-silico experiments. Such experiments are typically specified as directed flow graphs, in which the nodes represent modules and edges represent data flow between the modules. Provenance Difference Viewer (PDiffView) is a prototype based on efficient, polynomial time differencing algorithms for differencing runs of SPFL specificationsProvenance Difference Viewer (PDiffView) est un prototype base sur des algorithmes en temps polynomial
Provenance generated by different workflow systems is generally expressed using different formats. T...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
Data provenance is key to understanding and interpreting the results of scientific experiments. This...
International audienceScientific workflow systems are becoming increasingly im- portant for managing...
Scientific workflow management systems are increaingly providing the ability to manage and query the...
Scientific workflow management systems are increaingly providing the ability to manage and query the...
One of the foundations of science is that researchers must publish the methodology used to achieve t...
Data analytics processes such as scientific workflows tend to be executed repeatedly, with varying d...
Scientific workflows are commonly used to model and execute large-scale scientific experiments. They...
International audiencePROV has been adopted by a number of workflow systems for encoding the traces ...
The automated tracking and storage of provenance information promises to be a major advantage of sci...
Abstract—An increasing number of scientific workflow systems are providing support for the automated...
Provenance generated by different workflow systems is generally expressed using different formats. T...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
Data provenance is key to understanding and interpreting the results of scientific experiments. This...
International audienceScientific workflow systems are becoming increasingly im- portant for managing...
Scientific workflow management systems are increaingly providing the ability to manage and query the...
Scientific workflow management systems are increaingly providing the ability to manage and query the...
One of the foundations of science is that researchers must publish the methodology used to achieve t...
Data analytics processes such as scientific workflows tend to be executed repeatedly, with varying d...
Scientific workflows are commonly used to model and execute large-scale scientific experiments. They...
International audiencePROV has been adopted by a number of workflow systems for encoding the traces ...
The automated tracking and storage of provenance information promises to be a major advantage of sci...
Abstract—An increasing number of scientific workflow systems are providing support for the automated...
Provenance generated by different workflow systems is generally expressed using different formats. T...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
Data provenance is key to understanding and interpreting the results of scientific experiments. This...