Tong Mo, Rong Zhang, et al.
Intelligent Data Analysis
This paper proposes a service automaton to proactively provide services to users in a context aware pervasive system. First, a context space (CSP) model is proposed based on conceptual space theory, and this model deals with context, situation, services and user preferences in a unified way. In CSP, situation is used to depict the specific scene faced by a user; user preferences can be deemed as a basis to predict the user desired goal situation; to derive a service composition that achieves a given goal, we formalize semantic web services as automata with an emphasize on the relations among contexts and services. Afterwards a composite service automaton (CSA) is defined to synthesis services into a global automata and support the service composition to achieve the goal situation. At last, a temperature control case in smart homes is illustrated to validate the model and approach. The example shows that the service automata can conveniently reflect the state transition of a context aware system from a global perspective and help user achieve the goal situation. © 2012 IEEE.
Tong Mo, Rong Zhang, et al.
Intelligent Data Analysis
Qingni Shen, Yahui Yang, et al.
International Journal of Grid and Utility Computing
Geetika T. Lakshmanan, Nirmal K. Mukhi, et al.
SCC 2012
Zhichao Zhang, Shaoqiu Zheng, et al.
ICWS 2013