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Geovisual analytics to support crisis management: Information foraging for geo-historical context

机译:支持危机管理的地理可视化分析:针对地理历史情境的信息搜寻

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摘要

Information foraging and sense-making with heterogeneous information are context-dependent activities. Thus visual analytics tools to support these activities must incorporate context. But, context is a difficult concept to define, model, and represent. Creating and representing context in support of visually-enabled reasoning about complex problems with complex information is a complementary but different challenge than that addressed in context-aware computing. In the latter, the goal is automated system adaptation to meet user application needs such as location-based services where information about the location, the user, and user goals filters what gets presented on a small mobile device. In contrast, for visual analytics-enabled information foraging and sense-making, the user generally takes an active role in foraging for the contextual information needed to support sense-making in relation to some multifaceted problem. In this paper, we address the challenges of constructing and representing context within visual interfaces that support analytic reasoning in crisis management and humanitarian relief. The challenges stem from the diverse forms of information that can provide context and difficulty in defining and operationalizing context itself. Here, we focus on document foraging to support construction of geographic and historical context for facilitating monitoring and sense-making. Specifically, we present the concept of geo-historical context and outline an empirical assessment of both the concept and its implementation in the Context Discovery Application (CDA), a web-based tool that supports document foraging and sense-making. We also discuss the CDA's transition into applied use for the United Nations to demonstrate the generality of underlying CDA concepts.
机译:信息搜寻和利用异类信息进行感化是依赖于上下文的活动。因此,支持这些活动的视觉分析工具必须包含上下文。但是,上下文是很难定义,建模和表示的概念。与支持上下文感知的计算相比,创建和表示上下文以支持对具有复杂信息的复杂问题的可视化推理是一个补充但与众不同的挑战。在后者中,目标是实现系统的自动化适应以满足用户应用程序的需求,例如基于位置的服务,其中有关位置,用户和用户目标的信息会过滤在小型移动设备上呈现的内容。相反,对于启用视觉分析的信息搜寻和感官,用户通常在搜寻支持与某些多方面问题相关的感官所需要的上下文信息中扮演积极角色。在本文中,我们解决了在可视化界面中构建和表示上下文的挑战,这些界面支持危机管理和人道主义救济中的分析推理。挑战来自信息的各种形式,这些信息可能会提供上下文,并且难以定义和操作上下文本身。在这里,我们专注于文档搜寻,以支持地理和历史环境的构建,以利于监视和感知。具体来说,我们介绍了地理历史上下文的概念,并概述了上下文发现应用程序(CDA)中对该概念及其实现的实证评估,它是一种基于Web的工具,可支持文档搜寻和感知。我们还将讨论CDA向联合国的实用化过渡,以证明CDA基本概念的普遍性。

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