.png){kind=icon}
.png){kind=icon}
Return
A taxonomy for moving object queries in spatial databases
.png){kind=icon}
PRE
AI
DOI：10.1016/j.future.2014.02.007.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In the past decade, many works have focused on the development of moving object database indexing and querying. Most of those works have concentrated on the common spatial queries which are used with static objects as well. However, moving objects have different features from static objects which may lead to a variety of queries. Therefore, it is important to understand the full spectrum of moving object queries, even before starting to build an index structure for such objects. The aim of this paper is to provide a complete picture of the capabilities of moving object queries. Thus motivated, in this paper we propose a taxonomy of moving object queries, comprising five perspectives: (i) Location perspective, (ii) Motion perspective, (iii) Object perspective, (vi) Temporal perspective and (v) Patterns perspective. These give an overall view of what moving object queries are about. In this work, each perspective is described and examples are given. (C) 2014 Elsevier B.V. All rights reserved.
Keywords:
Moving objects
Spatial databases
Movement patterns
Query taxonomy
Journal
F
IF:
6.1
Papers:
6.8K
Citations:
2.3W