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

在这项研究中，我们提出了“海量空间传感器环境”，它包含了大量的空间传感器，如加速度计、RFID标签、RFID读取器等。获取的传感器数据被存储到数据库中，该数据库通过使用适合于社区的语义来实现空间查询处理。为此，本研究分为以下5个分主题，分别予以实现。1.开发并运行了传感器数据库。2.实现了一种获取用户行为意图的方法，并对其进行了评估。3.优化了传感器的能耗。4.将用户行为信息嵌入到环境中。5.设计了面向信息集成的本体。

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.