Nowadays, mobile applications have been widely used in various health and social domains. While there are large number of smart devices that connect and transmit their context data in free manner, these mobile applications have limitations regarding the increasing number of heterogeneous context data sent by devices, conducting the problem of identifying user-centric situations and providing services in real-time. Many smart mobile health systems were proposed to ensure context-aware personal health monitoring and diseases detection, while most of them are failed to ensure a right level of dynamicity and enough flexibility for assisting users everywhere, anytime, through widespread sensors and mobile devices. In fact, it becomes necessary to rethink a new way to minimize the response time combining competitive agents with semantic-based situation reasoning strategy. In this paper, we introduce a novel agent-based platform with three-layered ontology for the semantic description and parallel management of services selection approach dedicated to context-aware health mobile applications. In addition, we propose an innovative parallel services discovery and optimal selection process, which involved a set of filtered and classified semantic health multipath according to user’s context and preferences with consistent mobility of users and limited resources (low battery, processing capabilities, memory and others). Experimental results show the effectiveness of the proposed approach as it includes the semantic service information on cooperative agents. In addition, the proposed approach ensures fast response time and prolongs the continuity of the mobile application.

中文翻译：

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用于智能健康监测和疾病检测的基于代理的自主语义上下文感知平台

如今，移动应用程序已广泛应用于各种健康和社会领域。虽然有大量智能设备以自由方式连接和传输其上下文数据，但这些移动应用程序在设备发送的异构上下文数据数量不断增加、解决以用户为中心的情境识别和真实提供服务的问题上存在局限性。 -时间。许多智能移动健康系统被提出来确保上下文感知的个人健康监测和疾病检测，但其中大多数未能确保适当的动态性和足够的灵活性，以便通过广泛的传感器和移动设备随时随地为用户提供帮助。实际上，有必要重新考虑一种将竞争代理与基于语义的情境推理策略相结合的新方法来最小化响应时间。在本文中，我们介绍了一种新的基于代理的平台，该平台具有三层本体，用于语义描述和并行管理服务选择方法，专用于上下文感知健康移动应用程序。此外，我们提出了一种创新的并行服务发现和优化选择过程，该过程涉及一组根据用户的上下文和偏好过滤和分类的语义健康多路径，具有一致的用户移动性和有限的资源（低电池、处理能力、内存等） ）。实验结果表明了该方法的有效性，因为它包含了合作代理的语义服务信息。此外，