After the nuclear power plant accident in Fukushima, signif- icant amount of radioactive materials released into the environment. The radiation exposure has brought lots of concerns about environmental con- tamination, economic, and social consequences. The Japan governmental agencies have started to continuously monitor and collect radiation levels by monitoring posts, car and airborne surveys for the estimation of dose levels of radioactive materials and analysis of human effects in the future. In this paper, we propose a new platform, called RALFIE (radiation exposure lifelog Indicator), to map a personal spatio-temporal positions in daily life into air dose rates on the real-time radiation monitoring data and estimate potential radiation exposure based on their lifelogs such as GPS logs and sensor monitoring logs. The RALFIE is based on AIST sensor information platform based on OGC standards such as SOS, CWS, WCS, etc. In addition, it cooperates with D-shuttle sensor and assesses the relationship between ambient dose equivalent and individuals. In this presentation, we introduce an overview of AIST sensor information platforms and RALFIE platform and show a use case of the integration of environmental sensing data and personal data for providing potential radiation exposure information to mobile users. Also, we will take account into other health standards such as SDMX-HD and HL-7 for supporting public health problems and discuss about how to combine them with/into OGC standards.