The Internet of Things (IoT) is growing at a rapid pace. Applications using IoT technologies
have transformed many activities to be digitized enabling more productivity, economy, and …

Making internet-of-things (IoT)-based applications context-aware demands large amounts of
raw data to be collected, interpreted, stored, and reused or repurposed if needed from many …

Context information is in demand more than ever with the rapid increase in the number of
context-aware Internet of Things applications developed worldwide. Research in context …

The Internet of Things (loT) ecosystem is rapidly evolving, offering unprecedented
opportunities to address complex challenges in various sectors, including mobile services …

One of the research directions in Internet of Things (IoT) is the field of Context Management
Platforms (CMPs) which is a specific type of IoT middleware. CMPs provide horizontal …

As the Internet of Things (IoT) continues to expand, the volume of data generated by IoT
devices and the demand for IoT applications is increasing exponentially. These applications …

Real-time applications increasingly rely on context information to provide relevant and
dependable features. Context queries require large-scale retrieval, inferencing, aggregation …

Smart cities aim to use technology and data to efficiently utilize city resources, improving
residents' quality of life and advancing sustainability. Efficient management of these …

Context-awareness is becoming more relevant for smarter modern-day applications. With
billions of IoT devices able to monitor a plethora of parameters in near real-time, inferring …