arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节(Veterans Day),12 日无更新
arXiv 2003.02615cs.IRcs.DBcs.SI
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Hadath:从社交媒体地图到多分辨率事件丰富地图

Hadath: From Social Media Mapping to Multi-Resolution Event-Enriched Maps

Faizan Ur Rehman, Imad Afyouni, Ahmed Lbath, Saleh Basalamah

摘要:

公开可用的数据正在迅速增加,并将随着传感器、智能手机和物联网技术的进步而继续增长。来自多个来源的数据可以提高覆盖率,并提供有关周围事件和兴趣点的更多相关知识。一个数据来源的优势可以通过提供补充信息来弥补另一个来源的不足。地图也越来越受欢迎,人们正在使用它来顺利有效地完成日常任务。从几百年前的纸质地图开始,现在有多种类型的地图,包括兴趣点、实时交通更新或显示社交媒体上的微博。在本文中,我们介绍了Hadath,一个系统,显示多分辨率的现场感兴趣的事件,从各种可用的数据源。该系统已被设计为能够处理多种类型的输入封装传入的非结构化数据到通用数据包。系统从通用数据包中提取感兴趣的本地事件,并识别它们的时空范围以在地图上显示这些事件,使得当用户改变缩放级别时,仅显示适当范围的事件。这使我们能够显示与视图规模相对应的实时事件-当以城市规模观看时,我们看到更重要的事件,而放大到社区时,更本地化的事件被突出显示。最终的输出创建了一个独特的和动态的地图浏览体验。最后,为了验证我们提出的系统,我们对社交媒体数据进行了实验。

英文摘要:

Publicly available data is increasing rapidly, and will continue to grow with the advancement of technologies in sensors, smartphones and the Internet of Things. Data from multiple sources can improve coverage and provide more relevant knowledge about surrounding events and points of Interest. The strength of one source of data can compensate for the shortcomings of another source by providing supplementary information. Maps are also getting popular day-by-day and people are using it to achieve their daily task smoothly and efficiently. Starting from paper maps hundred years ago, multiple type of maps are available with point of interest, real-time traffic update or displaying micro-blogs from social media. In this paper, we introduce Hadath, a system that displays multi-resolution live events of interest from a variety of available data sources. The system has been designed to be able to handle multiple type of inputs by encapsulating incoming unstructured data into generic data packets. System extracts local events of interest from generic data packets and identify their spatio-temporal scope to display such events on a map, so that as a user changes the zoom level, only events of appropriate scope are displayed. This allows us to show live events in correspondence to the scale of view - when viewing at a city scale, we see events of higher significance, while zooming in to a neighbourhood, events of a more local interest are highlighted. The final output creates a unique and dynamic map browsing experience. Finally, to validate our proposed system, we conducted experiments on social media data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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