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 …

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 …

Predicting situations in real-time applications is non-trivial. Fusing and incorporating the
plethora of heterogeneous context information from many sources in the ecosystem that a …

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

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 …

The heterogeneous and multi-structured data within datalakes environment stored at
distributed geographical locations raises the difficulty of user query processing. Caching is a …

Smarter pervasive and ubiquitous applications are on the rise. They leverage contextual
information to make actions more relevant and dependable to the users and the Internet of …