Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | DocType |
|---|---|---|
2016 | PROCEEDINGS OF 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL-2016): SYSTEM DEMONSTRATIONS | Conference |
Volume | Citations | PageRank |
P16-4 | 4 | 0.39 |
References | Authors | |
7 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tong Ge | 1 | 35 | 5.26 |
| Yafang Wang | 2 | 134 | 13.56 |
| Gerard de Melo | 3 | 723 | 53.54 |
| Haofeng Li | 4 | 4 | 0.39 |
| Baoquan Chen | 5 | 2095 | 111.30 |