Quality of Information for IoT-Frameworks
(From the abstract)
This paper deals with the use of Quality of Information (QoI) in the context of frameworks for data integration in the Internet of Things (IoT). It analyses existing approaches available to generate measures for information quality and proposes a concept to integrate real-time QoI calculation into an IoT framework. The approach shows several advantages when it comes to fault-detection, or the ranking of data streams when searching for IoT devices. However, the use of QoI often suffers from missing or incomplete metadata. This is addressed by a knowledge-based approach.
A common problem for many IoT domains is the search and discovery of available IoT devices, which is the main purpose of the IoTCrawler framework.