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

本研究提出“海量空间感测器环境”，其中包含许多空间感测器，如加速度计、RFID标签、RFID读取器等。采集到的传感器数据被存储到数据库中，该数据库使用社区特有的语义进行空间查询处理。为此目的，本研究分为以下五个分主题，分别加以实现。1. 开发并运行传感器数据库。2. 实现并评价了一种获取用户行为意图的方法。3. 优化传感器能耗。4. 用户的行为信息被嵌入到环境中。5. 设计了信息集成本体。

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.