Name
Abstract | ||
|---|---|---|
In this paper, a general moving object trajectories framework is put forward to allow independent applications processing trajectories data benefit from a high level of interoperability, information sharing as well as an efficient answer for a wide range of complex trajectory queries. Our proposed meta-model is based on ontology and event approach, incorporates existing presentations of trajectory and integrates new patterns like space-time path to describe activities in geographical space-time. We introduce recursive Region of Interest concepts and deal mobile objects trajectories with diverse spatio-temporal sampling protocols and different sensors available that traditional data model alone are incapable for this purpose. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.5121/ijdms.2012.4203 | International Journal of Database Management Systems |
Field | DocType | Volume |
Ontology,Data mining,Interoperability,Computer science,Sampling (statistics),Data model,Database,Metamodeling,Information sharing,Recursion,Trajectory | Journal | abs/1205.1796 |
Citations | PageRank | References |
9 | 0.63 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Azedine Boulmakoul | 1 | 105 | 20.84 |
| Lamia Karim | 2 | 16 | 3.15 |
| Ahmed Lbath | 3 | 37 | 6.80 |