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Making Publics 2.0: Humanities data linked through a topical repository

机译:制作公共2.0:通过题单存储库链接的人文数据

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Our previous project, Making Publics (MaPs http://www.makingpublics.org), examined voluntary forms of publics in early modern Europe 1500-1700 [1] and resulted in the creation of a corpus of databases of people, places, and artifacts. These databases catalogue the nearly 2,000 works cited in over 200 articles, papers, books, and essays written by its members. These works contain numerous references to people, places, things, and their interactions on various topics, such as common interests, tastes, and desires in early modern Europe. MaPs allows its users to continue this research in public making through collaboration, collating new references to people, places, things that make up the forms of association around shared interests and topics. Throughout 2012, we re-envisaged how the website might operate to further research as well as present the research findings of the project which ended in 2010. Central to this was consideration of how a web application might serve to both organize and foster ongoing research, and make that research data available to other humanities users in the form of Linked Open Data. The focus of this panel is to demonstrate our approaches that transform seemingly unorganized humanities research information into data using a topically oriented Resource Description Framework (RDF) repository. Its overall purpose has been to explore what a networked approach to humanities data might look like using RDF principles on the one hand and to disseminate this humanistic data to academic and non-academic audiences.
机译:我们以前的项目,制作公众(地图http://www.makingpublics.org),在早期的现代欧洲审查了公众的自愿形式1500-1700 [1],并导致创建人物,地点的数据库数据库文物。这些数据库目录近2,000次作品中的200多篇文章,论文,书籍和其成员撰写的论文。这些作品包含许多对各种主题的人员,地方,事物及其互动的引用,例如常见的兴趣,口味和欲望在早期的现代欧洲。地图允许其用户通过合作,将新的参考资料整理到公众的公开制作,将新的参考资料整理对围绕共享利益和主题的关联形式的人员,地点,事物。在2012年,我们重新设想了该网站如何运作进一步研究,以及在2010年结束的项目的研究结果。核心审议Web应用程序如何为组织和培育持续的研究,并使该数据以链接开放数据的形式提供给其他人文用户的数据。本面板的重点是展示我们使用局部化资源描述框架(RDF)存储库将似乎未经组织的人文科学研究信息转换为数据的方法。其整体目的一直探讨了人文数据的网络方法可能一方面使用RDF原则,并将这种人文数据传播给学术和非学术受众。

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