A Study of Information Integrated Spatio-Temporal Databases under Massive Spatial Sensor Environment

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In this study, "massive spatial sensor environment," which contains a lot of spatial sensors such as accelerometers, RFID tags, RFID readers, and others, is proposed. Acquired sensor data are stored into a database that enables spatial query processing by using semantics proper to a community. For that purpose, the study is divided into next 5 sub-themes, those are achieved respectively. 1. The sensor database is developed and operated. 2. A method for acquiring intention of users' action is implemented and evaluated. 3. Energy consumption of sensors is optimized. 4. Information of users' action is embedded into the environment. 5. Ontology for information integration is designed.