Add to ORKGWorkflow-level provenance declarations can improve the precision of coarse provenance traces by reducing the number of “false” dependencies (not every output of a step depends on every input). Conversely, fine-grained execution provenance can be used to improve the precision of input-output dependencies of workflow actors. We present a new logic-based approach for improving provenance precision by combining downward and upward inference, i.e., from workflows to traces and vice versa.nonouirechercheInternationa
Integrated provenance support promises to be a chief advantage of scientific workflow systems over s...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
International audienceOften data processing is not implemented by a workflow system or an integratio...
Workflow-level provenance declarations can improve the precision of coarse provenance traces by redu...
International audiencePROV has been adopted by a number of workflow systems for encoding the traces ...
Workflow provenance typically assumes that each module is a “black-box”, so that each output depends...
Workflow provenance typically assumes that each module is a “black-box”, so that each output depends...
Scientists require provenance information either to validate their model or to investigate the origi...
Abstract. Often data processing is not implemented by a workflow sys-tem or an integration applicati...
The management and querying of workflow provenance data underpins a collection of activities, includ...
Scientists can facilitate data intensive applications to study and understand the behavior of a comp...
Workflow forms a key part of many existing Service Oriented applications, involving the integration ...
Scientific workflow systems are increasingly used to automate com-plex data analyses, largely due to...
Abstract—We consider the problem of defining, generating, and tracing provenance in data-oriented wo...
The automated tracking and storage of provenance information promises to be a major advantage of sci...
Integrated provenance support promises to be a chief advantage of scientific workflow systems over s...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
International audienceOften data processing is not implemented by a workflow system or an integratio...
Workflow-level provenance declarations can improve the precision of coarse provenance traces by redu...
International audiencePROV has been adopted by a number of workflow systems for encoding the traces ...
Workflow provenance typically assumes that each module is a “black-box”, so that each output depends...
Workflow provenance typically assumes that each module is a “black-box”, so that each output depends...
Scientists require provenance information either to validate their model or to investigate the origi...
Abstract. Often data processing is not implemented by a workflow sys-tem or an integration applicati...
The management and querying of workflow provenance data underpins a collection of activities, includ...
Scientists can facilitate data intensive applications to study and understand the behavior of a comp...
Workflow forms a key part of many existing Service Oriented applications, involving the integration ...
Scientific workflow systems are increasingly used to automate com-plex data analyses, largely due to...
Abstract—We consider the problem of defining, generating, and tracing provenance in data-oriented wo...
The automated tracking and storage of provenance information promises to be a major advantage of sci...
Integrated provenance support promises to be a chief advantage of scientific workflow systems over s...
International audienceSHARP is a Linked Data approach for harmonizing cross-workflow provenance. In ...
International audienceOften data processing is not implemented by a workflow system or an integratio...