Name
Abstract | ||
|---|---|---|
Recently, as the growth of the wireless Internet, PDA, and HPC, the focus of research and development has been changed to LBS (location based service). To offer LBS efficiently, there must be a real-time GIS platform that can deal with dynamic status of moving objects and a location index which can deal with the characteristics of location data. Therefore, in this paper, we studied the real-time mobile GIS based on the HBR-tree to manage mass of location data efficiently. The real-time mobile GIS mainly consists of the HBR (Hash Based R)-tree and the real-time GIS platform. The HBR-tree is a combined index type of the R-tree and the spatial hash index. Although location data are updated frequently, update operations are done within the same hash table in the HBR-tree, so it costs less than other tree-based indexes. The real-time GIS platform consists of a real-time GIS engine, a middleware, and a mobile client. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.cie.2006.06.013 | Computers & Industrial Engineering |
Keywords | Field | DocType |
mobile client,combined index type,hash table,location data,real-time mobile gis,real-time gis platform,spatial hash index,location data index,real-time gis engine,location index,hbr-tree,tree-based index,lbs,indexation,location based service,real time | Middleware,GIS file format,Data mining,Mathematical optimization,Location-based service,AM/FM/GIS,Enterprise GIS,Hash function,Engineering,Distributed GIS,Database,Hash table | Journal |
Volume | Issue | ISSN |
51 | 1 | Computers & Industrial Engineering |
Citations | PageRank | References |
2 | 0.42 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jae-Kwan Yun | 1 | 16 | 4.32 |
| Dong-Oh Kim | 2 | 15 | 6.72 |
| Dong-Suk Hong | 3 | 10 | 3.67 |
| Moon Hae Kim | 4 | 65 | 9.84 |
| Ki-Joon Han | 5 | 26 | 6.76 |