Add to ORKGScientific workflow systems are problem-solving environments that allow scientists to automate and reproduce data management and analysis tasks
In the e-Science context, workflow technologies provide a problem-solving environment for researcher...
Scientific data analyses often combine several computational tools in automated pipelines, or workfl...
Workflows are increasingly used to manage and share scientific computations and methods. Workflow to...
Scientists are increasingly utilizing Grids to manage large data sets and execute scientific experim...
Scientific experiments are usually modeled as scientific workflows, and may be enacted using Scienti...
Science today is increasingly computational, and many researchers regularly face the need of creatin...
Scientists are increasingly utilizing Grids to manage large data sets and execute scientific experim...
Abstract: Workflows are increasingly used in science to manage complex computations and data proces...
Objective: To capture gravity domain expertise through an ontology and to generate high-level workfl...
Scientific workflows allow scientists to automate repetitive data management, analysis, and visualiz...
One of the factors that limits scientists from fully adopting e-Science technologies and infrastruct...
An approach that results in the development of Workflow-Driven Ontologies (WDO) (called the WDO appr...
Scientific workflow systems have become a necessary tool for many applications, enabling the composi...
The tools used to analyze scientific data are often distinct from those used to archive, retrieve, a...
Scientific data analyses often combine several computational tools in automated pipelines, or workfl...
In the e-Science context, workflow technologies provide a problem-solving environment for researcher...
Scientific data analyses often combine several computational tools in automated pipelines, or workfl...
Workflows are increasingly used to manage and share scientific computations and methods. Workflow to...
Scientists are increasingly utilizing Grids to manage large data sets and execute scientific experim...
Scientific experiments are usually modeled as scientific workflows, and may be enacted using Scienti...
Science today is increasingly computational, and many researchers regularly face the need of creatin...
Scientists are increasingly utilizing Grids to manage large data sets and execute scientific experim...
Abstract: Workflows are increasingly used in science to manage complex computations and data proces...
Objective: To capture gravity domain expertise through an ontology and to generate high-level workfl...
Scientific workflows allow scientists to automate repetitive data management, analysis, and visualiz...
One of the factors that limits scientists from fully adopting e-Science technologies and infrastruct...
An approach that results in the development of Workflow-Driven Ontologies (WDO) (called the WDO appr...
Scientific workflow systems have become a necessary tool for many applications, enabling the composi...
The tools used to analyze scientific data are often distinct from those used to archive, retrieve, a...
Scientific data analyses often combine several computational tools in automated pipelines, or workfl...
In the e-Science context, workflow technologies provide a problem-solving environment for researcher...
Scientific data analyses often combine several computational tools in automated pipelines, or workfl...
Workflows are increasingly used to manage and share scientific computations and methods. Workflow to...