This paper describes a conceptual model for reasoning about context. The concepts introduced here may be applied in designing context-aware services and modelling contextsensitive interactions between context-aware systems. We introduce the concept of “primitive context” as the basic context abstraction. The concept of “primitive context” effectively captures the notion of “context” and provide...

This issue of JAISE is focused on the theme of Context Awareness. This topic is a key concept in the development of many Ambient Intelligence systems and as such we expect this issue to be well received by the community at large. While the topic of context-aware design has been on the technical agenda of many research groups for more than a decade, there are still several outstanding challenges...

Context awareness offers a powerful vision that aims to build novel services that adapt to the situation of the user. Context-aware frameworks provide functionalities for gathering data from sensors and for processing this data to interpret the user’s context. This context information is further used to adapt the behavior of services. Adaptation is often performed by applying predefined rules t...

Software services in the near ubiquitous future will need to cope with variability, as they are deployed on an increasingly large diversity of computing platforms, operate in different execution environments, and communicate through Beyond 3G (B3G) networks. Heterogeneity of the underlying communication and computing infrastructure, physical mobility of platform devices, and continuously evolvi...

With the proliferation of Internet-of-Things and continuous growth in number web services at Internet-scale, service recommendation is becoming a challenge nowadays. One prime aspects influencing Quality-of-Service (QoS) parameter, which depicts performance service. In general, provider furnishes value QoS parameters before deployment. However, reality, values vary across different users, time,...

A context-aware service in a smart environment aims to supply services according user situational information, which changes dynamically. Most existing systems provide based on supervised algorithms. Reinforcement algorithms are another type of machine-learning algorithm that have been shown be useful dynamic environments through trial-and-error interactions. They also the ability build excelle...

Much research on context quality in context-aware systems divides into two strands: (1) the qualitative identi cation of quality measures and (2) the use of uncertain reasoning techniques. In this paper, we combine these two strands, exploring the problem of how to identify and propagate quality through the di erent context layers in order to support the context reasoning process. We present a ...