The paper presents Intergraph, a graph-based visual analytics technical demonstrator for the exploration and study of content in historical document collections. The designed prototype is motivated by a practical use case on a corpus of circa 15.000 digitized resources about European integration since 1945. The corpus allowed generating a dynamic multilayer network which represents different kinds of named entities appearing and co-appearing in the collections. To our knowledge, Intergraph is one of the first interactive tools to visualize dynamic multilayer graphs for collections of digitized historical sources. Graph visualization and interaction methods have been designed based on user requirements for content exploration by non-technical users without a strong background in network science, and to compensate for common flaws with the annotation of named entities. Users work with self-selected subsets of the overall data by interacting with a scene of small graphs which can be added, altered and compared. This allows an interest-driven navigation in the corpus and the discovery of the interconnections of its entities across time.

中文翻译：

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探索数字人文动态多层图

本文介绍了Intergraph，这是一种基于图的视觉分析技术演示程序，用于探索和研究历史文档集中的内容。自1945年以来，有关欧洲一体化的约有15.000个数字化资源的语料库的一个实际用例，激发了设计原型的作用。语料库允许生成一个动态的多层网络，该网络表示在集合中出现和共同出现的不同种类的命名实体。就我们所知，Intergraph是最早的可视化交互式多层图的交互式工具之一，用于显示数字化历史数据的集合。根据用户需求设计了图形可视化和交互方法，以供没有网络科学背景的非技术用户探索内容。并通过命名实体的注释来弥补常见的缺陷。用户通过与可以添加，更改和比较的小图形场景进行交互，来处理整体数据的自选子集。这允许兴趣驱动的语料库导航以及跨时间发现其实体的互连。