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Exploratory Spatio-Temporal Queries in Evolving Information

机译:不断发展的信息中的探索性时空查询

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Using evolving information within rapid mapping activities in the response phase of emergency situations poses a number of questions related to the quality of information being provided. In this paper, we focus on image extraction from social networks, in particular Twitter, in case of emergencies. In this case issues arise about the temporal and spatial location of images, which can be refined over time as information about the event is being collected and (automatically) analyzed. The paper describes a scenario for rapid mapping in an emergency event and how information quality can evolve over time. A model for managing and analyzing the evolving information is proposed to be used as a basis for analyzing the images quality for mapping purposes.
机译:在紧急情况的响应阶段中,在快速制图活动中使用不断发展的信息提出了许多与所提供信息的质量有关的问题。在本文中,我们着重于在紧急情况下从社交网络(尤其是Twitter)中提取图像。在这种情况下,会出现有关图像的时间和空间位置的问题,随着有关事件信息的收集和(自动)分析,这些问题可以随着时间的流逝而得到完善。本文介绍了在紧急事件中快速映射的场景,以及信息质量如何随时间演变。提出了一种用于管理和分析不断发展的信息的模型,以作为分析图像质量以进行映射的基础。

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