Connecting Distributed Version Control Systems communities to linked open data

K. Aslan, H. Skaf-Molli, P. Molli
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引用次数: 5

Abstract

Distributed Version Control Systems (DVCS) such as Git or Mercurial allow community of developers to coordinate and maintain well known software such as Linux operating system or Firefox web browser. The Push-Pull-Clone (PPC) collaboration model used in DVCS generates PPC social network where DVCS repositories are linked by push/pull relations. Unfortunately, DVCS tools poorly interoperate and are not navigable. The first issue prevents the development of generic tools and the second one prevents network analysis. In this paper, we propose to reuse semantic web technologies to transform any DVCS system into a social semantic web one. To achieve this objective, we propose SCHO+ a lightweight ontology that allows to represent causal history sharing. This ontology allows each node of the PPC social network to publish semantic datasets. Next, these semantic datasets can be queried with link transversal based query execution for metrics computation and PPC social network discovery. We experimented PPC network discovery and divergence metrics on real data from some representative projects managed by different DVCS tools.
连接分布式版本控制系统社区链接开放数据
分布式版本控制系统(DVCS),如Git或Mercurial,允许开发人员社区协调和维护众所周知的软件,如Linux操作系统或Firefox web浏览器。DVCS中使用的push - pull - clone (PPC)协作模型生成了PPC社交网络,其中DVCS存储库通过推/拉关系链接。不幸的是,DVCS工具的互操作性很差,而且无法导航。第一个问题阻碍了通用工具的开发,第二个问题阻碍了网络分析。在本文中,我们提出重用语义web技术将任何DVCS系统转换为社交语义web系统。为了实现这一目标,我们提出了一个轻量级本体SCHO+,允许表示因果历史共享。该本体允许PPC社交网络的每个节点发布语义数据集。接下来,这些语义数据集可以通过基于链接横向的查询执行来查询,用于度量计算和PPC社交网络发现。我们在不同DVCS工具管理的一些代表性项目的真实数据上实验了PPC网络发现和发散指标。
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