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Smart Semantic-based Approach for Mobile Applications in Pervasive Environments

机译:基于智能语义的移动应用程序在普及环境中的方法

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Today, the field of smart- * (Home, City, Health, Tourism, etc.) is oriented multimedia by nature, highly heterogeneous and now lacks of intelligent way to able to manage various modalities according to the current users needs, usage situations and execution context. In consequence, mobile applications are certainly existing but often inadequate according to users' expectations and more precisely the instant expectations. The inclusion in our daily life, connected objects can retrieve information directly related to the immediate physical environment and the user. The use of different services from devices according to evolutionary scenarios affects both the nature and presentation of information and the different interactions that the user can and must have. The main idea is to design new way to make relevant semantic connected objects, multi-devices and many more agility and to use the cloud as a way to insure the service continuity on mobile devices. This paper presents an autonomic smart semantic based context-aware service and controller that will enhance users experience through the use of optimized semantic multimodal detection services. The originality of the dedicated cloud and context-aware of quality service composition paths is that it relies on smart multimodal inputs and multimodal user preferences. We propose real case study in order to validate our proposal.
机译:今天,智能 - *(家庭,城市,健康,旅游等)的领域是由大自然,高度异构的多媒体,现在缺乏能够根据当前用户的需求,使用情况和使用情况管理各种方式的智能路程。执行上下文。结果,根据用户的期望,移动应用程序肯定是现有的,但通常不足,更准确地是即时期望。包含在我们的日常生活中,连接对象可以检索与直接物理环境和用户直接相关的信息。根据进化方案使用从设备的不同服务会影响信息的性质和呈现和用户可以和必须具有的不同互动。主要思想是设计新的方式来制作相关的语义连接对象,多器件和更多敏捷性,并使用云作为确保移动设备上的服务连续性的方法。本文介绍了一种自主智能语义的上下文信息感知服务和控制器,可以通过使用优化的语义多模峰检测服务来增强用户体验。专用云和上下文知识的质量服务成分路径的原创性是它依赖于智能多模式输入和多模式用户偏好。我们提出了真正的案例研究,以验证我们的提案。

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