Due to their historical nature, humanistic data encompass multiple sources of uncertainty.
While humanists are accustomed to handling such uncertainty with their established …

Uncertainty is a standard condition under which large parts of art-historical and curatorial
knowledge creation and communication are operating. In contrast to standard levels of data …

Due to the increasing use of data analytics, information visualization is getting more and
more important. However, as data get more complex, so does visualization, often leading to …

While we know that the visualization of quantifiable uncertainty impacts the confidence in
insights, little is known about whether the same is true for uncertainty that originates from …

Digital humanities (DH) combines research objectives in the humanities with digital data
acquisition, processing, and presentation methods. This work describes the development of …

Over the last decade, several projects have been developed to digitise and semanticise
cultural heritage data. They have been developed to preserve and maintain this heritage …

This article builds on work conducted and lessons learned within SILKNOW, a research
project that aimed at enhancing the preservation and digital dissemination of silk heritage …

Digital humanities scholars deal with many types of uncertainty in data. Especially historians
work with sources that can be incomplete, hard to translate, or biased. This introduces …

In cultural heritage collections, categorization is a central technique used to distinguish
cultural movements, styles, or genres. For that end, objects are tagged with set-typed …

This article builds on work conducted and lessons learned within SILKNOW, a research
project that aimed at enhancing the preservation and digital dissemination of silk heritage …