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Extraction and Exploration of Spatio-Temporal Information in Documents

机译:文献中时空信息的提取与探索

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In the past couple of years, there have been significant advances in the areas of temporal information retrieval (TIR) and geographic information retrieval (GIR), each focusing on extracting and utilizing temporal and geographic information, respectively, from documents for search and exploration tasks. Interestingly, there is only little work that combines models, techniques and applications from these two areas to support scenarios and applications where temporal and geographic information in combination provide interesting meaningful nuggets in document exploration tasks, such as visualizing a chronological sequence of events with their locations.rnIn this paper, we present an approach that combines the two areas of TIR and GIR. Using temporal and geographic information extracted from documents and recorded in temporal and geographic document profiles, we show how co-occurrences of such information are determined and spatio-temporal document profiles are computed. Such profiles then provide the basis for a variety of document search and exploration tasks, such as visualizing the sequences of events on a map. We present a prototypical implementation of our system and demonstrate the effectiveness of combining GIR and TIR in the context of document exploration tasks.
机译:在过去的两年中,在时态信息检索(TIR)和地理信息检索(GIR)领域取得了重大进展,它们分别专注于从用于搜索和探索任务的文档中提取和利用时态和地理信息。 。有趣的是,只有很少的工作可以将这两个领域的模型,技术和应用程序结合起来,以支持情景和应用程序,其中时空信息结合在一起可以在文档探索任务中提供有趣的有意义的信息,例如可视化事件的时间顺序及其位置.rn在本文中,我们提出了一种将TIR和GIR的两个领域结合在一起的方法。使用从文档中提取并记录在时间和地理文档配置文件中的时间和地理信息,我们显示了如何确定此类信息的共现并计算时空文档配置文件。然后,此类概要文件为各种文档搜索和探索任务提供了基础,例如可视化地图上的事件序列。我们介绍了我们系统的原型实现,并展示了在文档探索任务中结合GIR和TIR的有效性。

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