STUDYING A USER-CUSTOMIZED SERVICE OF THE ENVIRONMENTAL INFORMATION BASED ON BIG DATA ANALYSIS
Nowadays, with the development of information technology, collecting and accumulating massive data have become commonplace. It is important to analyze the characteristics of the data using big data analysis technique and then provide a user-customized service using the analysis results. In this research, we study a method to provide a user-customized environment data in a regional area which is collected, analyzed, processed systematically. Especially, for various users such as tourists, local citizens, learners, and so on, we study how to realize a real-time service, a service coupled with an online map, an alert notification service, and an educational service on natural environment. More specific research topics are at the following. First, we devise a way to gather, analyze, and provide time-series environment data in real-time. Second, we propose a technical solution to provide visually environmental information coupled with geographic map, for users to accept the data intuitively. Third, we develop a system for raising environmental consciousness based on smartphones and educational physical computing tools. We examine how to use regional environment information analyzed by big data analysis technique, as teaching-learning material. As a result of the research, we expect that environmental awareness of local residents could be improved and an education for sustainable environment could be realized.
user-customized service, geographic map, environmental awareness, data analysis technique.