Visualizing and Curating Knowledge Graphs over Time and Space
Tong Ge, Yafang Wang, Gerard de Melo, Haofeng Li, Baoquan Chen · 2016
Publicly available knowledge repositories, such as Wikipedia and Freebase, benefit significantly from volunteers, whose contributions ensure that the knowledge keeps expanding and is kept up-to-date and accurate.User interactions are often limited to hypertext, tabular, or graph visualization interfaces.For spatio-temporal information, however, other interaction paradigms may be better-suited.We present an integrated system that combines crowdsourcing, automatic or semi-automatic knowledge harvesting from text, and visual analytics.It enables users to analyze large quantities of structured data and unstructured textual data from a spatio-temporal perspective and gain deep insights that are not easily observed in individual facts.