Semantic approach to context management and reasoning in ubiquitous context-aware systems

D. Ejigu, Vasile-Marian Scuturici, L. Brunie
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引用次数: 30

Abstract

Ubiquitous computing involves applications that adapt their behavior to every changing physical, social, and computing environment. This can be realized through proper capturing, representation, management and reasoning of constantly changing context. In this work, we propose a hybrid approach to collaborative context management. It uses semantic ontology and relational schema. System scalability is addressed by heuristic based selective loading of relevant context data into the reasoner. We have also developed a collaborative platform that performs context-aware reasoning and decisions based on the context management model. A result from the preliminaiy test shows that our data model is scalable and the platform is domain independent.
上下文感知系统中上下文管理和推理的语义方法
普适计算涉及应用程序,这些应用程序使其行为适应每一个不断变化的物理、社会和计算环境。这可以通过对不断变化的上下文进行适当的捕捉、表示、管理和推理来实现。在这项工作中,我们提出了一种协作上下文管理的混合方法。它采用语义本体和关系模式。系统的可扩展性是通过基于启发式的选择性加载相关上下文数据到推理器中来解决的。我们还开发了一个基于上下文管理模型执行上下文感知推理和决策的协作平台。初步测试结果表明,我们的数据模型具有可扩展性,平台具有领域独立性。
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