Abstract Integrating Internet of Things (IoT) sensor data from heterogeneous sources with
domain knowledge and context information in real-time is a challenging task in IoT …

Abstract In the Internet of Things (IoT), semantic IoT platforms are often used to solve the
challenges associated with the real-time integration of heterogeneous IoT sensor data …

In the modern digital landscape of the Internet of Things (IoT), data interoperability and
heterogeneity present critical challenges, particularly with the increasing complexity of IoT …

Abstract Enterprise Communication Systems are designed in such a way to maximise the
efficiency of communication and collaboration within the enterprise. With users becoming …

With the proliferation of sensors and IoT technologies, stream data are increasingly stored
and analysed, but rarely combined, due to the heterogeneity of sources and technologies …

Connecting the physical world to the Internet of Things (IoT) allows for the development of a
wide variety of applications. Things can be searched, managed, analyzed, and even …

The growing number of Internet of Things (IoT) devices generates massive amounts of
diverse data, including personal or confidential information (ie, sensory, images, etc.) that is …

Internet of things (IoT) applications rely on networks composed of a set of heterogeneous
sensors and smart devices, which have the capability to constantly monitor the surroundings …

The fast development of Internet of Things (IoT) computing and technologies has prompted a
decentralization of Cloud-based systems. Indeed, sending all the information from IoT …

The Internet of Things (IoT) extends traditional cyber-physical systems by linking sensor
based edge devices to network accessible services and resources. In most current IoT …