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EDIT: A Methodology for the Treatment of Non-authoritative Data in the Reconstruction of Disaster Scenarios

机译:编辑:重建灾难场景中非权威数据的方法

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EDIT - Extracting Disaster Information from Text - is a methodology for the treatment of textual information extracted from the web, originated by non-expert users and referring to the occurrence of a disaster event. The project was born from a collaboration between CIMA Foundation (Italy) and the Nottingham Geospatial Institute (NGI) (United Kingdom). The methodology addresses the task of integrating unstructured knowledge into operative tools. It focuses on: the semantic analysis of online news and tweets; the automatic extraction of relevant data to enhance knowledge about disasters; the evaluation of reliability of data; the archive into an event-oriented database; the visualization of scenario maps. The study represents the starting point of a new way of approaching disaster scenarios and it is proposed that the approach is taken forward for future large-scale implementation.
机译:编辑-从文本中提取灾难信息-是一种用于处理从Web提取的文本信息的方法,该信息由非专家用户发起并引用灾难事件的发生。该项目是由意大利CIMA基金会和英国诺丁汉地理空间研究所(NGI)合作创建的。该方法论解决了将非结构化知识整合到操作工具中的任务。它着重于:在线新闻和推文的语义分析;自动提取相关数据,以增强对灾害的了解;数据可靠性评估;存档到面向事件的数据库中;场景图的可视化。这项研究代表了一种新的应对灾害情景的方法的起点,并建议将其推广到未来的大规模实施中。

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