基于证据理论的上下文本体建模以及不确定性推理方法

李艳娜; 乔秀全; 李晓峰

doi:10.3724/SP.J.1146.2009.01015

基于证据理论的上下文本体建模以及不确定性推理方法

doi: 10.3724/SP.J.1146.2009.01015

基金项目:

国家自然科学基金(60802034, 60672122)，高等学校博士学科点专项科研基金(20070013026)和北京市科技新星计划(2008B50)资助课题

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出版历程
- 收稿日期: 2009-07-17
- 修回日期: 2009-12-01
- 刊出日期: 2010-08-19

An Uncertain Context Ontology Modeling and Reasoning Approach Based on D-S Theory

摘要

摘要: 不确定上下文信息的表示与推理是研究和开发上下文感知系统的重点和难点。该文首次将证据理论和本体相结合，提出了基于证据理论的不确定性上下文本体建模方法，并对证据组合规则进行了修改，不仅解决了证据理论在高度证据冲突时的局限性，而且使得该推理模型具有自适应性，设计并实现了不确定上下文推理算法。最后，通过在原型系统中的医疗监护和诊断应用，验证了该方法的可行性、合理性和有效性。
- 上下文建模 /
- 不确定性推理 /
- 证据理论 /
- 本体
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.
- Context modeling /
- Uncertain reasoning /
- Dempster-Shafter (D-S) theory /
- Ontology

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参考文献(1)

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