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Performance evaluation of storing and querying spatial data on mobile devices for offline location based services

机译:为脱机基于位置的服务在移动设备上存储和查询空间数据的性能评估

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Use of location based services has been gaining popularity over the years especially with the increase in smartphone sales. The benefits include helping you find nearby places of interest like a restaurant, café, atm among others and additional information like location and distance and providing navigation assistance to these places. In most cases such services are dependent on the availability of an internet connection on the phone. Thus the use of such services is lost in scenarios where an internet connection is not available or not used (due to expensive internet plans) like when visiting another country. We evaluate the performance of querying spatial data when stored locally on the mobile device. The circular query and the pointing gesture based geowand query are performed on a copy of the OpenStreetMap data stored in SQLite on the mobile device. The SpatiaLite extension provides the vector geodatabase functionalities to query such databases. In this paper we report on the performance of such queries on mobile devices. We also compare some features of this offline prototype with alternative proprietary solutions like Google Places and highlight the importance of Open data and crowdsourcing.
机译:多年来,基于位置的服务的使用已日益普及,尤其是随着智能手机销量的增长。这些好处包括帮助您找到附近的名胜景点,例如餐馆,咖啡馆,自动取款机,以及其他信息,例如位置和距离,以及为这些地方提供导航帮助。在大多数情况下,此类服务取决于电话上互联网连接的可用性。因此,在无法访问互联网或由于使用昂贵的互联网计划而无法访问互联网的情况下(例如访问另一个国家),将失去对此类服务的使用。当本地存储在移动设备上时,我们评估查询空间数据的性能。对存储在移动设备上SQLite中的OpenStreetMap数据的副本执行循环查询和基于指向手势的geowand查询。 SpatiaLite扩展提供了矢量地理数据库功能来查询此类数据库。在本文中,我们报告了此类查询在移动设备上的性能。我们还将此离线原型的某些功能与其他专有解决方案(例如Google Places)进行了比较,并强调了开放数据和众包的重要性。

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