BigSIoT: Big Data Management for the Semantic Internet of Things

物联网（IoT）预计将连接数十亿个配备传感器的嵌入式设备，以感知其周围环境和执行器，以改变现实世界的状态，从而实现智能城市、智能电网或智能医疗保健等新应用。为了实现这一愿景和承诺的应用程序，仍然需要满足许多要求，其中包括(a)创建允许分发、存储和查询传感器产生的大量数据的基础设施，以及(b)对这些数据进行语义丰富，并为其表示提供开放的数据格式，以允许强大的机器处理，从而有效地实现上述应用程序。在“BigSIoT”项目中，我们将通过将物联网基础设施中的现有存储和处理资源以及物联网设备本身组织到一个对等网络（P2P）中来解决这两个问题。在此基础上，我们将研究物联网领域的大规模分布式语义数据分布以及（一次性、触发和连续）查询和推理处理，以实现可行的大规模物联网场景。其中，我们将在大规模智慧城市环境中评估我们的方法。

The Internet of Things (IoT) is anticipated to connect billions of embedded devices equipped with sensors to perceive their surroundings and actuators to change the state of the real world to realize novel applications such as Smart Cities, Smart Grids, or Smart Healthcare. In order to make this vision and the promised applications real, a number of requirements are still to be fulfilled, among them (a) the creation of infrastructures that allow for distributing, storing, and querying massive amounts of data produced by the sensors, and (b) a semantic enrichment of this data plus an open data format for its representation to allow for a powerful machine processing and thus an efficient realization of above applications. In the project "BigSIoT", we will address these tow issues, by organizing existing storage and processing resources in the IoT infrastructure as well as the IoT devices themselves into a Peer-2-Peer (P2P) network. Based on this infrastructure, we will do research in large-scale distributed semantic data distribution as well as in (one-time, trigger and continuous) query and inference processing in the IoT area for realizing feasible large-scale IoT scenarios. Among other, we will evaluate our approach in a large-scale smart city environment.