通过多尺度开源网络文档,促进态势评估

Brian M. Tomaszewski, C. Pan, P. Mitra, A. MacEachren
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引用次数: 2

摘要

在本文中,我们介绍了我们在地理信息检索(GIR)系统上的初步工作,该系统利用松散耦合的网络服务和Google Earth™(GE)从多尺度、开源网络文档中检索、提取、组合和可视化情况信息。我们开展这项工作的目的是,通过将从多个来源检索到的文本文件中包含的信息链接起来并在地理上进行语境化的工具,支持危机管理领域的情况评估。特别是,我们目前的工作重点是结合两个数据源-联邦紧急事务管理局(FEMA)全国情况更新和谷歌新闻“™”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Facilitating situation assessment through gir with multi-scale open source web documents
In this paper, we present our preliminary work on a Geographic Information Retrieval (GIR) system that utilizes loosely coupled web services and Google Earth™(GE) to retrieve, extract, combine, and visualize situation information from multi-scale, open source web documents. Our intent with this work is to support situation assessment in the crisis management domain through tools that link and geographically contextualize information contained in text documents retrieved from multiple sources. In particular, our present work focuses on combining two data sources - The Federal Emergency Management Agency (FEMA) National Situation Updates and Google News"™.
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