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Scalable data collection and retrieval infrastructure for digital government applications

机译:用于数字政府应用程序的可扩展数据收集和检索基础结构

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In this paper we describe highlights of the project titled "Scalable data collection infrastructure for digital government applications" under the auspices of the Digital Government Research Program of the National Science Foundation. Our research is focused on taking advantage of the distributed nature of data and the interaction with it. Our efforts have been directed at both the systems/theoretical and applications levels. On the systems and theoretical levels, we have continued our development of the BISTRO system (Section 2). On the applications level, work has commenced on the development of a mechanism for spatially tagging text documents for retrieval by search engines based on both content and spatial proximity (Section 3).
机译:在本文中,我们将描述由国家科学基金会的“数字政府研究计划”主持的名为“用于数字政府应用的可伸缩数据收集基础结构”项目的重点。我们的研究专注于利用数据的分布式特性以及与之交互的优势。我们的努力既针对系统/理论层面,又针对应用层面。在系统和理论层面上,我们继续开发BISTRO系统(第2节)。在应用程序级别上,已经开始开发对文本文档进行空间标记的机制,以供搜索引擎根据内容和空间邻近度进行检索(第3节)。

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