Name
Abstract | ||
|---|---|---|
Knowledge harvesting enables the automated construction of large knowledge bases. In this work, we made a first attempt to harvest spatio-temporal knowledge from news archives to construct trajectories of individual entities for spatio-temporal entity tracking. Our approach consists of an entity extraction and disambiguation module and a fact generation module which produce pertinent trajectory records from textual sources. The evaluation on the 20 years' New York Times news article corpus showed that our methods are effective and scalable. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/1963192.1963265 | WWW (Companion Volume) |
Keywords | Field | DocType |
scalable spatio-temporal knowledge harvesting,entity extraction,disambiguation module,new york times news,large knowledge base,harvest spatio-temporal knowledge,news archives,individual entity,fact generation module,spatio-temporal entity tracking,knowledge harvesting,knowledge base | Data science,Data mining,World Wide Web,Information retrieval,Computer science,Knowledge extraction,Trajectory,Scalability | Conference |
Citations | PageRank | References |
2 | 0.38 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yafang Wang | 1 | 134 | 13.56 |
| Bin Yang | 2 | 706 | 34.93 |
| Spyros Zoupanos | 3 | 48 | 4.42 |
| Marc Spaniol | 4 | 897 | 61.13 |
| Gerhard Weikum | 5 | 12710 | 2146.01 |