Abstract：The modeling and reasoning with uncertain context information is one of key problems of building context-aware applications in pervasive computing environment. In this paper, a method of modeling uncertain contexts is proposed by combining the D-S theory with ontology model. And also an improved evidences combination rule is presented not only to solve the D-S theory limitations in the case of high-degree conflict evidences but also to make the reasoning have self-adaptability. Then the uncertain reasoning algorithm is designed and implemented. Finally, the feasibility, rationality and effectiveness of this approach are verified through an e-health use case of the prototype system.
李艳娜, 乔秀全, 李晓峰. 基于证据理论的上下文本体建模以及不确定性推理方法[J]. 电子与信息学报, 2010, 32(8): 1806-1811.
Li Yan-Na, Qiao Xiu-Quan, Li Xiao-Feng. An Uncertain Context Ontology Modeling and Reasoning Approach Based on D-S Theory. , 2010, 32(8): 1806-1811.
2010, Vol. 32 
