Providing services in a wireless environment with existing wired-based GIS solutions have many limitations such as slow communication, processing rates and screen size. This study suggested data optimization techniques in a mobile environment to overcome those limitations in four steps. In order to test the methods suggested in the study, experiments are conducted using Gangnam-gu as a test site. An existing GIS engine built in a wired environment was compared with the optimized GIS engine from the study in terms of performance in the same environment. They were also compared and analyzed in terms of response data size, number of requests processed per second, and average time to process a request. The results proved that the proposed engine shows significant improvements in performance compared with the wired GIS.