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| An Uncertain Context Ontology Modeling and Reasoning Approach Based on D-S Theory |
| Li Yan-na Qiao Xiu-quan Li Xiao-feng |
| State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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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.
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Received: 17 July 2009
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Corresponding Authors:
Li Yan-Na
E-mail: liyanna815@gmail.com
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2010, Vol. 32 
