使用Pundit进行语义注释:一个案例研究和实际演示

F. D. Donato, C. Morbidoni, Simone Fonda, A. Piccioli, M. Grassi, Michele Nucci
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引用次数: 9

摘要

本文讨论了一种新的语义注释工具Pundit在Burckhardt通信案例研究中的应用。在这种情况下,信件中出现的人名和地名以及对艺术作品的引用都被语义注释并链接到数据网络。这样的实验有两个目的。第一个是验证和迭代改进Pundit作为创建和明确“隐藏”在信件中的信息的工具。第二是研究如何将这些知识呈现和可视化,使其对学者本身真正有用。利用语义网技术和开放注释数据模型,学者们协作创建的注释与DL中已经存在的元数据一致地合并,并通过REST api公开,以构建许多可视化知识图的替代方法。我们声称这种方法促进了一种“良性循环”,学者产生的新知识反过来又可以成为新研究的起点。本文讨论了这个正在进行的项目的初步结果,提出了需求和第一个可视化原型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantic annotation with Pundit: a case study and a practical demonstration
This paper discusses the application of Pundit, a novel semantic annotation tool, in the case study of Burckhardt's correspondence. In this context the occurrences of persons and places names as well as references to works of art in the letters are being semantically annotated and linked to the Web of Data. Such an experiment has a two fold goal. The first one is validating and iteratively improving Pundit as a tool for creating and making explicit the information "hidden" in the letters. The second is to investigate how such knowledge can be presented and visualized to be actually useful for scholars themselves. Leveraging on Semantic Web technologies and on the Open Annotation data model, scholars' collaboratively created annotations are coherently merged with the metadata already present in the DL and exposed via REST APIs to build a number of alternative ways of visualizing the knowledge graph. We claim this approach fosters a "virtuous circle" where the new knowledge produced by scholars can, in turn, become the starting point for new researches. This paper discusses the preliminary results of this ongoing project, presenting requirements and a first visualization prototype.
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