关联开放数据系统质量评估的度量标准
A metric Suite for Systematic Quality Assessment of Linked Open Data
摘要：
链接开放数据（LOD）计划的愿景是提供一个分布式模型，用于发布和有意义地互连开放数据。这一目标的实现在很大程度上取决于作为LOD的一部分发布的数据的质量。本文重点介绍了在LOD云上发布之前对数据集进行系统的质量评估。为此，我们在数据集发布之前确定需要避免和/或解决的重要质量缺陷。然后，我们提出了一组指标来衡量这些质量缺陷的数据集。这样，我们就可以通过我们提出的指标来评估和识别数据集的不良质量特征。这将有助于发布者根据质量评估结果过滤掉低质量的数据，从而使数据消费者在使用开放数据集时做出更好、更明智的决策。
英文摘要：
Abstract- The vision of the Linked Open Data (LOD) initiative is to provide a distributed model for publishing and meaningfully interlinking open data. The realization of this goal depends strongly on the quality of the data that is published as a part of the LOD. This paper focuses on the systematic quality assessment of datasets prior to publication on the LOD cloud. To this end, we identify important quality deficiencies that need to be avoided and/or resolved prior to the publication of a dataset. We then propose a set of metrics to measure these quality deficiencies in a dataset. This way, we enable the assessment and identification of undesirable quality characteristics of a dataset through our proposed metrics. This will help publishers to filter out low-quality data based on the quality assessment results, which in turn enables data consumers to make better and more informed decisions when using the open datasets.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
