After decades of digitization, large cultural heritage collections have emerged on the web,
which contain massive stocks of content from galleries, libraries, archives, and museums …

Visual analytics systems combine machine learning or other analytic techniques with
interactive data visualization to promote sensemaking and analytical reasoning. It is through …

The visualization community has developed to date many intuitions and understandings of
how to judge the quality of views in visualizing data. The computation of a visualization's …

Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …

摘要传统的古籍开发与应用模式已难以适应人文学科研究的需要, 人文学科研究者期待一个技术
逻辑和人文逻辑相耦合的数字人文研究范式的出现. 本文从古籍文献深层次开发与利用出发 …

Understanding published unstructured textual data using traditional text mining approaches
and tools is becoming a challenging issue due to the rapid increase in electronic open …

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 …

Anchoring effect is the tendency to focus too heavily on one piece of information when
making decisions. In this paper, we present a novel, systematic study and resulting analyses …

Significant research has provided robust task and evaluation languages for the analysis of
exploratory visualizations. Unfortunately, these taxonomies fail when applied to …

Many datasets nowadays contain links between geographic locations and natural language
texts. These links can be geotags, such as geotagged tweets or geotagged Wikipedia …