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Extensible Data Management Architecture for Smart Campus Applications A Crowdsourcing based Solution

机译:智能校园应用程序的可扩展数据管理架构是一个基于众包的解决方案

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The technological advancements that have occurred during the past decade in various domains, including sensors, wireless communications, location positioning technologies and the web, allow the collection of a wide range of data. Possible sources of that data include intelligent devices (smartphones, tablets, etc.) containing various sensors, Web pages, and social networking sites. Collected data are subject to analysis (using data mining or pattern recognition approaches, for instance) and after processing new content might be inferred. This is a value-added service that can itself be used as a data source. In this paper, we use our University Campus as an example for establishing a data management architecture that integrates into a more general, extensible publish/subscribe based model of crowdsourced applications.
机译:在过去十年中发生的技术进步,包括传感器,无线通信,位置定位技术和网络,允许收集广泛的数据。该数据的可能源包括包含各种传感器,网页和社交网站的智能设备(智能手机,平板电脑等)。收集的数据受到分析(使用数据挖掘或模式识别方法,例如)和处理新内容后可能会推断出来。这是一个增值服务,它本身可以用作数据源。在本文中,我们使用大学校园作为建立数据管理架构的一个例子,该架构集成到一个更通用的,可扩展的众群应用程序模型中的更常见,可扩展的发布/订阅。

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