Name
Abstract | ||
|---|---|---|
A data summarization for the large table can be of great help, which provides a concise and informative overview and assists the user to quickly figure out the subject of the data. However, a high quality summarization needs to have two desirable properties: presenting notable entities and achieving broad domain coverage. In this demonstration, we propose a summarizer system called PocketView that is able to create a data summarization through a pocket view of the table. The attendees will experience the following features of our system: (1) time-sensitive notability evaluation - PocketView can automatically identify notable entities according to their significance and popularity in user-defined time period; (2) broad-coverage pocket view - Our system will provide a pocket view for the table without losing any domain, which is much simpler and clearer for attendees to figure out the subject compared with the original table. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICDE48307.2020.00159 | 2020 IEEE 36TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2020) |
Keywords | DocType | ISSN |
data summarization, pocket view, notability, domain coverage | Conference | 1084-4627 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yihai Xi | 1 | 0 | 0.34 |
| Ning Wang | 2 | 3 | 8.48 |
| Shuang Hao | 3 | 232 | 12.55 |
| Wenyang Yang | 4 | 0 | 0.34 |
| Li Li | 5 | 0 | 0.34 |