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Extraction and Exploration of Spatio-Temporal Information in Documents

机译:文献中的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. In 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:在过去几年中,时间信息检索(TIR)和地理信息检索(GIR)的领域已经进行了显着进展,每个领域分别关注分别从用于搜索和探索任务的文档来提取和利用时间和地理信息。有趣的是,只有很少的作品,将模型,技术和应用程序组合在这两个方面,支持何种方案和应用程序,其中组合中的时间和地理信息在文档探索任务中提供有趣的有意义的核实,例如可视化与他们的位置的时间顺序。在本文中,我们提出了一种结合TIR和GIR的两个领域的方法。使用从文档中提取的时间和地理信息并记录在时间和地理文档配置文件中,我们展示了如何确定此类信息的共同发生,并且计算时空文档配置文件。然后,这种配置文件提供了各种文档搜索和探索任务的基础,例如可视化地图上的事件序列。我们展示了系统的原型实施,并展示了在文档探索任务的背景下结合GIR和TIR的有效性。

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