Context Awareness Framework Based on Contextual Graph

TL;DR

This paper introduces a context-awareness framework utilizing contextual graphs to model the relationships among different contexts, aiming to improve automatic adaptation in pervasive computing systems.

Contribution

It proposes a novel use of contextual graphs to represent mutual relationships among contexts, enhancing context reasoning for better system adaptation.

Findings

Improves automatic context adaptation in pervasive systems

Facilitates context reasoning for developers

Enhances user satisfaction by reducing unexpected behaviors

Abstract

Nowadays computing becomes increasingly mobile and pervasive. One of the important steps in pervasive computing is context-awareness. Context-aware pervasive systems rely on information about the context and user preferences to adapt their behavior. However, context-aware applications do not always behave as user's desire, and can cause users to feel dissatisfied with unexpected actions. To solve these problems, context-aware systems must provide mechanisms to adapt automatically when the context changes significantly. The interesting characteristic of context is its own behaviors which depend on various aspects of the surrounding contexts. This paper uses contextual graphs to solve the problem "the mutual relationships among the contexts". We describe the most relevant work in this area, as well as ongoing research on developing context-aware system for ubiquitous computing based on contextual graph. The usage of contextual graph in context-awareness is expected to make it effective for developers to develop various applications with the need of context reasoning.