A Novel Rule Generation Scheme for Service Automation in Smart Space
Xiaodong Wang · Journal of Information and Computational Science · 2014
A number of intelligent devices and services have been created and deployed in pervasive environment. Yet it could be tedious to manipulate, interact and analyze them and generate proper composition plan for a given scenario. In this paper, an automatic service rules generation algorithm is proposed to address the problem. Rules are extracted from the history context acquired from previous manual operations. A service rule management tool is developed for achieving the automatic extraction and visual correction for service rules based on user preferences. Instead of manual processing, the scheme provides an effective way to decrease unnecessary user interventions in smart space. As our working prototype and examples demonstrate, indoor illumination services can be applied and updated automatically by using SWRLbased rules.