Moving Object Query Processing Technique for Recommendation Service

摘要

The positions of spatial or moving objects with maps are frequently utilized through travel, exploration. LBS (Location Based Service) corresponding to the change of users' location, are actively provided according to the progress of location management technologies such as GPS, wireless communication network, and personal devices. The research scope of LBS has been changed from vehicle tracking and navigation services to intelligent and personalized services considering the changing information of conditions or environment where the users' are located. We propose a moving object query processing technique with sensor data, which shows the conditions of environment by using MQLR (Moving Object Query Language for Recommendation Service). This method provides suitable services according to the change of situation in real world by combining vehicle management and sensor data monitoring. This MQLR is processed in a LBS system includes the moving object management module for tracking moving vehicle and the sensor monitoring module for detecting a phenomenon such as dust pollution.