BigSIoT: Big Data Management for the Semantic Internet of Things

• Applicants: Professor Dr. Stefan Fischer; Professor Dr. Sven Groppe
• Subject Area: Security and Dependability, Operating-, Communication- and Distributed Systems ; Data Management, Data-Intensive Systems, Computer Science Methods in Business Informatics
• Term: from 2019 to 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 422053062

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.

• DFG Programme: Research Grants