Name
Abstract | ||
|---|---|---|
Geolocation of microblog messages has been largely investigated in the literature. Many solutions have been proposed that achieve good results at the city level. Existing approaches are mainly data-driven (i.e., they rely on a training phase). However, the development of algorithms for geolocation at sub-city level is still an open problem. In this paper, we investigate the role that external geographic knowledge can play in geolocation approaches. We show how different geographical data sources can be combined with a semantic layer within a knowledge base to achieve reasonably accurate sub-city level geolocation.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3297280.3297557 | SAC |
Keywords | Field | DocType |
geographic data source, geographic ontology, geolocation algorithm, microblog message | Open problem,Social media,Information retrieval,Computer science,Geolocation,Microblogging,Knowledge base | Conference |
ISBN | Citations | PageRank |
978-1-4503-5933-7 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laura Di Rocco | 1 | 1 | 3.05 |
| Davide Buscaldi | 2 | 436 | 54.12 |
| Michela Bertolotto | 3 | 863 | 91.77 |
| Barbara Catania | 4 | 925 | 148.57 |
| Giovanna Guerrini | 5 | 705 | 97.44 |