Confidence level evaluation of LOD resources on CKAN instances

J. F. Herrera-Cubides, P. Gaona-García, C. E. Montenegro-Marín, Álvaro Varón-Capera
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引用次数: 1

Abstract

Linked Open Data has been an initiative aimed at offering principles for the interconnection of data through machine-readable structures and knowledge representation schemes. At present, there are platforms that allow consuming LOD resources, being CKAN one of the most relevant on a large community made up of governmental organizations, NGOs, among others. However, the resources consumption lacks minimum criteria to determine their validity such as level of trust, quality, linkage and usability of the data; aspects that require a previous systematic analysis on the set of published data. To support this process of analysis and determination of the mentioned criteria, this paper has as purpose to present a method that allows analyzing the dataset current state obtained from the different instances published in CKAN, with the aim of evaluating the levels of trust that can offer from their sources. Finally, it presents results, conclusions and future work from the use of the tool for the dataset consumption belonging to certain instances ascribed to the CKAN platform.
CKAN实例上LOD资源的置信度评估
关联开放数据是一项旨在通过机器可读结构和知识表示方案提供数据互连原则的倡议。目前,有一些平台允许使用LOD资源,CKAN是由政府组织,非政府组织等组成的大型社区中最相关的平台之一。然而,资源消耗缺乏确定其有效性的最低标准,例如数据的信任程度、质量、联系和可用性;需要事先对已发表数据集进行系统分析的方面。为了支持上述标准的分析和确定过程,本文的目的是提出一种方法,允许分析从CKAN中发布的不同实例中获得的数据集当前状态,目的是评估可以从其来源提供的信任水平。最后,它展示了使用该工具对属于CKAN平台的某些实例的数据集消费的结果、结论和未来的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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