Toby Burrows, Doug Emery, A. Fraas, E. Hyvönen, Esko Ikkala, M. Koho, D. Lewis, Andrew Morrison, Kevin R. Page, Lynn Ransom, E. Thomson, J. Tuominen, A. Velios, H. Wijsman
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引用次数: 0
摘要
摘要:自2017年获得第四轮跨大西洋平台数据挖掘挑战(Trans-Atlantic Platform Digging into Data Challenge)资助以来,手稿迁移测绘项目一直致力于开发和测试一种方法,将来自欧洲和北美的不同数据集连接起来,旨在提供中世纪和文艺复兴时期手稿历史和来源的大规模分析和可视化。在项目开始时确定的一系列研究问题的指导下,MMM开发了一种创新的关联开放数据模型和数据集,该模型和数据集以语义一致的方式统一了三个独立的手稿相关数据库,以及将机构数据贡献转换为共同结构的工作流程。数据集已通过芬兰关联数据平台和MMM语义门户托管的关联开放数据服务提供。汇总的数据可以查询和可视化,范围从单个手稿到超过216,000个手稿作为一个组。门户网站开发的可视化工具显示了这些手稿是如何跨越时间和空间,从它们的产地到现在的地点,在那里它们继续寻找新的受众。以下报告总结了我们的方法和结果,并为使用我们的流程进行进一步研究奠定了基础。
A New Model for Manuscript Provenance Research: The Mapping Manuscript Migrations Project
Abstract:Since it was awarded a Round 4 Trans-Atlantic Platform Digging into Data Challenge grant in 2017, the Mapping Manuscript Migrations project has been working to develop and test a methodology to link disparate datasets from Europe and North America with the aim of providing large-scale analysis and visualizations of the history and provenance of medieval and Renaissance manuscripts.Guided by a set of research questions identified at the outset of the project, MMM developed an innovative Linked Open Data model and dataset which unifies three separate manuscript-related databases in a semantically consistent way, together with the workflows for transforming the institutional data contributions into the common structure. The dataset has been made available through a Linked Open Data service hosted by the Linked Data Finland platform and the MMM semantic portal.The aggregated data can be queried and visualized at scales ranging from a single manuscript to a total of more than 216,000 manuscripts as a group. Visualization tools developed in the portal show how the manuscripts have traveled across time and space from their place of production to their current locations, where they continue to find new audiences.The following report summarizes our methodology and results, and lays the groundwork for further research using our processes.