With the popularity of online learning in recent decades, MOOCs (Massive Open Online
Courses) are increasingly pervasive and widely used in many areas. Visualizing online …

In history research, cohort analysis seeks to identify social structures and figure mobilities by
studying the group-based behavior of historical figures. Prior works mainly employ automatic …

Event sequence data is a special type of time-dependent data that captures information
about the order in which discrete events occur. The time-dimension is one of the factors that …

Knowledge graphs store information about historical figures and their relationships indirectly
through shared events. We developed a visualization system, VisKonnect, for analyzing the …

Sensemaking on a large collection of documents (corpus) is a challenging task often found
in fields such as market research, legal studies, intelligence analysis, political science …

Traditional digital tools for exploring historical data mostly rely on conventional 2D
visualizations, which often cannot reveal all relevant interrelationships between historical …

Traditional digital tools for exploring historical data mostly rely on conventional 2D
visualizations, which often cannot reveal all relevant interrelationships between historical …

In many domains, multivariate event sequence data is collected focused around an entity
(the case). Typically, each event has multiple attributes, for example, in healthcare a patient …

传记可视化通过图形化语言描述人物的生平故事, 旨在从海量传记数据中提取重要信息并通过
可视化获取洞见. 然而, 从传记文本数据中自动生成叙事可视化是一项具有挑战的工作 …

Purpose: Knowledge graphs have so far been intensively used in the cultural heritage
domain. Current interaction paradigms and interfaces however are often limited to textual …