情境感知计算系统中上下文自配置算法  

Context self-construction algorithm in context-aware computing framework

作　　者：陆寅[1] 苗克坚[1] 李战怀[1] 

机构地区：[1]西北工业大学计算机学院,陕西西安710129

出　　处：《华中科技大学学报（自然科学版）》2010年第1期35-38,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家高技术研究发展计划资助项目(2006AA01Z198)

摘　　要：针对情境感知计算系统中因上下文失效引起的感知计算服务异常中断问题,提出一种上下文自配置算法.在情境感知计算系统上下文本体模型基础上创建具体应用的上下文图,当出现上下文失效情况时,应用扩散激活算法搜索失效的上下文或其等效内容,并根据搜索经过的路径配置上下文推理规则,实现上下文重构.创建上下文图时,根据具体应用选择图中路径权重计算方法,从而在搜索得到多条配置路径的情况下,对重构的上下文进行优化选择.Owing to context absent, a context-aware computing service would be interrupted in ubiqui- tous computing system. A context retrieval algorithm was proposed to rebuild the missing context. A context graph at the fallen time was created based on context ontology, and then a spreading activation process was applied to the graph to find paths link to the missing context. Weights of the paths were calculated so that most suited path can be choused. The algorithm was implemented in a ubiquitous computing framework, and was applied in a tourist guiding system.

关 键 词：普适计算 本体模型 自配置 上下文图 扩散激活算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]