Name
Abstract | ||
|---|---|---|
A wide variety of desktop and mobile Web applications involve geo-tagged content, e.g., photos and (micro-) blog postings. Such content, often called User Generated Geo-Content (UGGC), plays an increasingly important role in many applications. However, a great demand also exists for "core" UGGC where the geo-spatial aspect is not just a tag on other content, but is the primary content, e.g., a city street map with up-to-date road construction data. Along these lines, the iPark system aims to turn volumes of GPS data obtained from vehicles into information about the locations of parking spaces, thus enabling effective parking search applications. In particular, we demonstrate how iPark helps ordinary users annotate an existing digital map with two types of parking, on-street parking and parking zones, based on vehicular tracking data. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2452376.2452459 | EDBT |
Keywords | Field | DocType |
primary content,on-street parking,effective parking search application,parking zone,city street map,geo-tagged content,vehicular tracking data,gps data,parking space,up-to-date road construction data,trajectories | Gps data,World Wide Web,City street,Computer science,Parking guidance and information,Tracking data,Mobile web applications,Database | Conference |
Citations | PageRank | References |
6 | 0.46 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Yang | 1 | 706 | 34.93 |
| Nicolas Fantini | 2 | 6 | 0.46 |
| Christian S. Jensen | 3 | 10651 | 1129.45 |