IoT systems are now being deployed worldwide to sense phenomena of interest. The existing IoT systems are often independent which limits the use of sensor data to only one application. Semantic solutions have been proposed to support reuse of sensor …
The Internet of Things (IoT) concept has attracted a lot of attention from the research and innovation community for a number of years already. One of the key drivers for this hype towards the IoT is its applicability to a plethora of different …
Infrastructures enabling experimental assessment of Internet of Things (IoT) solutions are scarce. Moreover, such infrastructures are typically bound to a specific application domain, thus, not facilitating the testing of solutions with a horizontal …
IoT applications are usually built on top of proprietary platforms that collect data from IoT devices. Furthermore, most applications rely on proprietary datasets, coming from their own sources. Thereby needing to deal with issues like …
Experiment Management Console (EMC) is a simple easy-to-use user interface that enables experimenters to control their experiments/queries that execute using the Experiment Execution Engine (EEE). EMC provides features such as managing experiment …
Experiment Execution Engine (EEE) eases the development of IoT applications that perform analysis of recent or continuously increasing volumes of IoT data from various data stores. To this end, EEE provides APIs for scheduling queries on federated …
Several domains have adopted the increasing use of IoT-based devices to collect sensor data for generating abstractions and perceptions of the real world. This sensor data is multi-modal and heterogeneous in nature. This heterogeneity induces …