Add to ORKGCapturing provenance about artifacts produced by distributed scientific processes is a challenging task. For example, one approach to facilitate the execution of a scientific process in distributed environments is to break down the process into components and to create workflow specifications to orchestrate the execution of these components. However, capturing provenance in such an environment, even with the guidance of orchestration logic, is difficult because of important details that may be hidden by the component abstractions. In this paper, we show how to use abstract workflows to systematically enhance scientific processes to capture provenance at appropriate levels of detail. Abstract workflows lack the specification of an orchestrat...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
As scientific workflows, and the data they operate on, grow in size and complexity, the task of defi...
Abstract—Capturing provenance about artifacts produced by distributed scientific processes is a chal...
Integrated provenance support promises to be a chief advantage of scientific workflow systems over s...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Current scientific applications are often structured as workflows and rely on workflow systems to co...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Many scientists are using workflows to systematically design and run computational experiments. Once...
Abstract—Scientific workflows have recently emerged as a new paradigm for representing and managing ...
This thesis investigates adaptive provenance collection in the context of scientific workflow system...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
As scientific workflows, and the data they operate on, grow in size and complexity, the task of defi...
Abstract—Capturing provenance about artifacts produced by distributed scientific processes is a chal...
Integrated provenance support promises to be a chief advantage of scientific workflow systems over s...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Current scientific applications are often structured as workflows and rely on workflow systems to co...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Many scientists are using workflows to systematically design and run computational experiments. Once...
Abstract—Scientific workflows have recently emerged as a new paradigm for representing and managing ...
This thesis investigates adaptive provenance collection in the context of scientific workflow system...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
As scientific workflows, and the data they operate on, grow in size and complexity, the task of defi...