Name
Abstract | ||
|---|---|---|
Currently OGC GML (Geography Markup Language) specification has been the in fact standard of GIS data sharing and exchanging, and spatial interoperation. Adopting nested association expression approach of XML data, GML data documents store both spatial information and semantic relationship information of geographical elements. In order to improve the efficient of path query on GML two type information, the paper presented a holistic index method of GML data: EKR+ (optimized R+ Tree base on Extend Region Code and K-Means extent partition of GML feature elements). Experiments results show that utilizing EKR+ can greatly improve the efficiency of semantic-spatial query. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISCSCT.2008.98 | 地球空间信息科学学报(英文版) |
Keywords | Field | DocType |
geography markup language,k means,spatial information | Web Feature Service,Data mining,Geographic information system,Information retrieval,XML,Computer science,Tree (data structure),Data sharing,Interoperation,Geography Markup Language,Database index | Conference |
Volume | Issue | Citations |
12 | 04 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haitao Zhang | 1 | 0 | 0.34 |
| Shuliang Zhang | 2 | 5 | 2.28 |
| Guonian Lv | 3 | 32 | 7.10 |