A Hybrid Automatic Rule Generation Method for Providing Context Awareness

摘要

Context-aware applications have been attracting significant attention as an important approach for not only adapting their behaviors to the user's current situation, but also protecting the user from being disturbed with various kinds of devices and services while on their regular duty. However, most of the existing context-aware systems proactively provide information or services for users mainly depending on the rules which are manually defined by users or developers. In pursuit of automating rule generation, we present a hybrid method which explores both granular computing and decision tree methods. Then, an application case is demonstrated to illustrate the proposed method how to automatically generate context awareness rules. Finally, the results of a series of experiments show that the proposed method is adequate to automatically generate rules for providing context awareness.