A Framework for Spatio-temporal Context Query in Open Space Based on GPS Data
IEEE TENCON 2013——Large scale mobile data is valuable for extracting context in open physical world. In this talk, we propose a spatio-temporal context query framework in open space based on GPS data. The framework consists of three parts: GPS data, query engine, and user interface. It aims at providing query for contexts like crowd position and movement. First, the framework adopts status-based indexing method for data management. Second, it offers users a query interface with natural statement handling and a friendly visualization interface by using Web Map API. Finally, we implement a prototype based on campus GPS data for providing context query service in campus.
关键词： GPS数据 查询引擎 用户界面 移动数据 IEEE TENCON 2013
主讲人：Hui Wang 机构：School of Computer Science Northwestern Polytechnical University
时长：0:14:20 年代：2013年
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