Implementation and evaluation of an adaptive neighborhood information retrieval system for mobile users
Implementation and evaluation of an adaptive neighborhood information retrieval system for mobile users
复制标题
移动用户自适应邻里信息检索系统的实现与评估
DOI：
10.1109/wisew.2003.1286783
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
H. Kitagawa
中科院分区：
文献类型：
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作者：
Y. Ishikawa;Y. Tsukamoto;H. Kitagawa
移动设备、数字制图和全球定位系统（gps）的快速发展和持续研究活动为我们带来了一种新型的软件服务——针对移动对象（如拥有移动设备的人和拥有汽车导航系统的车辆）的基于位置的服务。实现基于位置的服务需要新的技术来为运动物体提供适当的邻域信息。为运动对象提供邻域信息的一般方法是使用传统的欧几里得距离空间查询来检索运动对象邻域内的对象。然而，如果我们知道移动物体的目的地和估计路线，我们将能够为物体提供更合适的信息。基于这一思想，我们开发了自适应空间查询生成模型，该模型考虑了运动物体的轨迹来检索所需的信息。本文描述了基于该模型的邻域信息检索系统的设计与实现，并通过实验对其有效性进行了评价。
Rapid development and ongoing research activities on mobile devices, digital cartography, and global positioning systems (GPSs) have brought us a new type of software service - location-based services for moving objects (such as people with mobile devices and vehicles with car navigation systems). Realization of location-based services requires new technologies to provide appropriate neighborhood information to moving objects. A general approach to providing neighborhood information to moving objects is to retrieve objects in the neighborhood of a moving object with a spatial query that uses the traditional Euclidean distance. However, if we know the destination and the estimated route of a moving object, we would be able to provide more appropriate information to the object. Based on this idea, we have developed adaptive spatial query generation models that take the trajectory of a moving object into consideration to retrieve desired information. In this paper, we describe the design and implementation of the neighborhood information retrieval system based on the models and evaluate its effectiveness with experiments.