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Smart Configuration of Smart Environments

机译:智能配置智能环境

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摘要

One of the central research challenges in the Internet of Things and Ubiquitous Computing domains is how users can be enabled to “program” their personal and industrial smart environments by combining services that are provided by devices around them. We present a service composition system that enables the goal-driven configuration of smart environments for end users by combining semantic metadata and reasoning with a visual modeling tool. In contrast to process-driven approaches where service mashups are statically defined, we make use of embedded semantic API descriptions to dynamically create mashups that fulfill the user’s goal. The main advantage of our system is its high degree of flexibility, as service mashups can adapt to dynamic environments and are fault-tolerant with respect to individual services becoming unavailable. To support users in expressing their goals, we integrated a visual programming tool with our system that allows to model the desired state of a smart environment graphically, thereby hiding the technicalities of the underlying semantics. Possible applications of the presented system include the management of smart homes to increase individual well-being, and reconfigurations of smart environments, for instance in the industrial automation or healthcare domains.
机译:物联网和普适计算领域的主要研究挑战之一是如何通过结合周围设备提供的服务来使用户能够对其个人和工业智能环境进行“编程”。我们提出了一种服务组合系统,通过将语义元数据和推理与可视化建模工具相结合,可以为最终用户实现目标驱动的智能环境配置。与静态定义服务混搭的流程驱动方法相反,我们利用嵌入式语义API描述来动态创建满足用户目标的混搭。我们的系统的主要优点是其高度的灵活性,因为服务混搭可以适应动态环境,并且对于个别服务变得不可用具有容错能力。为了支持用户表达其目标,我们将可视化编程工具与我们的系统集成在一起,该工具允许以图形方式对智能环境的所需状态进行建模,从而隐藏了底层语义的技术性。所提出的系统的可能应用包括智能住宅的管理以增加个人的幸福感,以及智能环境的重新配置,例如在工业自动化或医疗保健领域。

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