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A cloud-based platform to develop context-aware mobile applications by domain experts

机译:一个基于云的平台,由领域专家开发上下文感知的移动应用程序

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摘要

Context-awareness enables the personalization of computer systems according to the users' needs and their particular situation at a given time. The personalization capabilities are usually implemented by programmers due to the complex processes that are involved. However, an important trend in software development is that more and more software systems are being implemented not only by programmers but also by people with expertise in other domains. Since most of the existing context-aware development toolkits are designed for programmers, non-technical users cannot develop these kinds of systems. The design of tools to create context-aware systems by users that do not have programming skills but are experts in the domain where the system is going to be deployed, will contribute to speed up the adoption of these kinds of services by the society. This paper presents a cloud-based platform to ease the development of context-aware mobile applications by people without programming skills. The platform has been designed to be used in a tourism domain. This way, tourism experts can send tourist information to mobile users according to their context data (indoor/outdoor location, language, and date and time range). An energy-efficient mobile app has been developed in order to obtain context data from the user's device and to receive personalized information in real time based on these data. The architecture and implementation details of the system are presented and the evaluation of the platform by tourism domain experts is discussed.
机译:上下文感知使计算机系统可以根据用户的需求及其给定时间的特定情况进行个性化设置。由于涉及复杂的过程,因此个性化功能通常由程序员实现。但是,软件开发的一个重要趋势是,越来越多的软件系统不仅由程序员而且由其他领域的专家实施。由于大多数现有的上下文感知开发工具包都是为程序员设计的,因此非技术用户无法开发此类系统。由不具备编程技能但是将要部署系统的领域的专家的用户创建上下文感知系统的工具的设计将有助于加快社会对此类服务的采用。本文提出了一个基于云的平台,可以简化没有编程技能的人们对上下文感知移动应用程序的开发。该平台被设计用于旅游领域。这样,旅游专家可以根据他们的上下文数据(室内/室外位置,语言以及日期和时间范围)向移动用户发送旅游信息。为了从用户设备中获取上下文数据并基于这些数据实时接收个性化信息,已经开发了一种节能移动应用程序。介绍了该系统的体系结构和实现细节,并讨论了旅游领域专家对该平台的评估。

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