Semantic Web Technology and Prolog Reasoning Based Task Planning Mechanism and Application in Smart Home for Internet of Things

Internet of things brings significant advantages over traditional communication technologies for smart home applications, along with which, vast heterogeneous data have been generating by home entities. And the distributivity of system, interoperability of devices and complexity of collaboration have been critical challenges to the further development of smart home industry. To realize the planning of complex tasks of smart home, a collaborative decision-making mechanism is designed by introducing Semantic Web technology and combining multiagent technology. Specifically, the research focuses on construction of the corresponding MAS (Multi-Agent System) ontology for smart home, semantic annotation of resource information, and task planning based on context information. And the functionality of the approach is demonstrated through experiments conducted on the developed testing system. Additionally, the reasoning efficiency is discussed and the index is found to be related to the number of users.