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A Knowledge Oriented Approach for Composing Ambient Intelligence Services

机译:一种面向知识的环境情报服务组合方法

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Abstract: Ambient environments involve a variety of smart devices. Communities of these devices form a ubiquitous information processing system to which the physical environment should provide an intuitive and flexible user interface. Indeed, due to the proliferation of the number of services in ubiquitous environments, the problem of dynamic service composition becomes a complex task. Our work tries to solve the problem of service composition based on AI planning. The approach used in our framework is based on a temporal reasoning system called Event Calculus. This formalism is used to generate an action plan to a symbolic level from a composition plan described in XML modeling the behavior of the composition of services. Event Calculus has a double interest to propose a solution to the problem of temporal persistence and to provide a usable technique for planning. The framework for service composition using Event Calculus includes mechanism for the service selection, based on an estimation of the reputation for abstract services and the Quality of Service (QoS).
机译:摘要:环境环境涉及各种智能设备。这些设备的社区形成了无处不在的信息处理系统,物理环境应向该系统提供直观而灵活的用户界面。实际上,由于在无处不在的环境中服务数量的激增,动态服务组合的问题已成为一项复杂的任务。我们的工作试图解决基于AI计划的服务组合问题。我们的框架中使用的方法基于称为事件演算的时间推理系统。这种形式主义用于从对服务组合行为进行XML建模的XML中描述的组合计划中生成符号级别的行动计划。事件演算具有双重利益,即提出一种针对时间持久性问题的解决方案并提供一种可用的计划技术。使用事件演算的服务组合框架包括基于抽象服务的信誉和服务质量(QoS)的估计的服务选择机制。

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