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An Ontology-Based Reasoning Framework for Context-Aware Applications

机译:用于上下文感知应用程序的基于本体的推理框架

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Context-aware applications process context information to support users in their daily tasks and routines. These applications can adapt their functionalities by aggregating context information through machine-learning and data processing algorithms, supporting users with recommendations or services based on their current needs. In the last years, smartphones have been used in the field of context-awareness due to their embedded sensors and various communication interfaces such as Bluetooth, WiFi, NFC or cellular. However, building context-aware applications for smartphones can be a challenging and time-consuming task. In this paper, we describe an ontology-based reasoning framework to create context-aware applications. The framework is based on an ontology as well as micro-services to aggregate, process and represent context information.
机译:上下文感知应用程序处理上下文信息,以在用户的​​日常任务和例程中为其提供支持。这些应用程序可以通过机器学习和数据处理算法来聚合上下文信息,从而根据其当前需求为用户提供建议或服务,从而适应其功能。近年来,由于智能手机具有嵌入式传感器和各种通信接口(例如蓝牙,WiFi,NFC或蜂窝电话),因此已被用于上下文感知领域。但是,为智能手机构建上下文感知应用程序可能是一项艰巨而耗时的任务。在本文中,我们描述了一种基于本体的推理框架来创建上下文感知的应用程序。该框架基于本体以及微服务来聚合,处理和表示上下文信息。

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