从文字到出处推断

M. R. Huq, P. Apers, A. Wombacher, Y. Wada, L. V. Beek
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引用次数: 2

摘要

科学家需要来源信息来验证他们的模型,或者调查一个意想不到的值的起源。然而,它们不保留任何来源信息,甚至设计处理工作流在实践中也很少见。因此,在本文中,我们提出了一种解决方案,可以通过解释用于实际处理的脚本来构建工作流来源图。此外,科学家可以要求细粒度的来源信息,以促进推断的工作流来源。我们还提供了一个指南来根据用户偏好定制工作流来源图。我们的评估表明,提出的方法是相关的,适合科学家管理来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From scripts towards provenance inference
Scientists require provenance information either to validate their model or to investigate the origin of an unexpected value. However, they do not maintain any provenance information and even designing the processing workflow is rare in practice. Therefore, in this paper, we propose a solution that can build the workflow provenance graph by interpreting the scripts used for actual processing. Further, scientists can request fine-grained provenance information facilitating the inferred workflow provenance. We also provide a guideline to customize the workflow provenance graph based on user preferences. Our evaluation shows that the proposed approach is relevant and suitable for scientists to manage provenance.
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