使用Git的RDF数据集的分布式协作:走向退出存储

Natanael Arndt, Norman Radtke, Michael Martin
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引用次数: 13

摘要

协作是关于万维网发展的最重要的主题之一,因此也是数据网的重要主题之一。在数据集的分布式协作场景中,有必要为多个不同版本的数据集同时存在提供支持,同时也为合并分散的数据集提供支持。在本文中,我们提出了一种将SPARQL 1.1与版本控制系统Git结合使用的方法,它可以为包含多个命名图的RDF数据集创建所有更改的提交。此外,Git提供的操作用于在协作者之间分发提交,并合并数据集的不同版本。我们展示了用于RDF数据集的(公共)Git存储库的优势,以及它是如何代表一种协作和使用RDF数据的方式。结合SPARQL 1.1和Git,用户有很多机会参与到RDF数据的发展中来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Collaboration on RDF Datasets Using Git: Towards the Quit Store
Collaboration is one of the most important topics regarding the evolution of the World Wide Web and thus also for the Web of Data. In scenarios of distributed collaboration on datasets it is necessary to provide support for multiple different versions of datasets to exist simultaneously, while also providing support for merging diverged datasets. In this paper we present an approach that uses SPARQL 1.1 in combination with the version control system Git, that creates commits for all changes applied to an RDF dataset containing multiple named graphs. Further the operations provided by Git are used to distribute the commits among collaborators and merge diverged versions of the dataset. We show the advantages of (public) Git repositories for RDF datasets and how this represents a way to collaborate on RDF data and consume it. With SPARQL 1.1 and Git in combination, users are given several opportunities to participate in the evolution of RDF data.
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