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 …

Knowledge bases extracted automatically from the Web present new opportunities for data
mining and exploration. Given a large, heterogeneous set of extracted relations, new tools …

Learning and gaining knowledge of Roman history is an area of interest for students and
citizens at large. This is an example of a subject with great sweep (with many interrelated …

This study presents insights from interviews with nineteen Knowledge Graph (KG)
practitioners who work in both enterprise and academic settings on a wide variety of use …

We have systematically surveyed the publications on visualization construction user
interfaces that have been published in 12 major Visualization and HCI venues. We found six …

Linked open data (LOD), as provided by a quickly growing number of sources constitutes a
wealth of easily accessible information. However, this data is not easy to understand. It is …

Data science courses and tutorials have grown popular in recent years, yet they are still
taught using production-grade programming tools (eg, R, MATLAB, and Python IDEs) within …

Most visual analytics systems assume that all foraging for data happens before the analytics
process; once analysis begins, the set of data attributes considered is fixed. Such separation …

Linked Data has grown to become one of the largest available knowledge bases.
Unfortunately, this wealth of data remains inaccessible to those without in-depth knowledge …

We present reform, a step toward write-once apply-anywhere user interface enhancements.
The reform system envisions roles for both programmers and end users in enhancing …