A Framework for Spatio-temporal Context Query in Open Space Based on GPS Data
尊敬的用戶：您還沒有登錄，請 登 錄！
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.
嘉 賓 ：
Hui Wang
關鍵字 ：
GPS數據 查詢引擎 用戶界面 移動數據視頻年代：2013
相關視頻
