BigSIoT: Big Data Management for the Semantic Internet of Things

BigSIoT：语义物联网大数据管理

• 批准号: 422053062
• 负责人: Professor Dr. Stefan Fischer
• 金额: --
• 依托单位: Institut für Informationssysteme (IFIS)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/422053062?language=en
• 关键词: BigSIoT; Big; Data; Management; Semantic

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.

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等新颖的应用。为了使这一愿景和所承诺的应用成为现实，仍有许多要求需要满足，其中（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）丰富这些数据的语义以及其表示的开放数据格式，以允许强大的机器处理，从而有效实现上述应用程序。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点对点（P2P）网络中来解决这两个问题。基于这一基础设施，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。除此之外，我们将在大规模智慧城市环境中评估我们的方法。