Visualizing City Events on Search Engine: Tword the Search Infrustration for Smart City

Wenbo Li, Peixia Wang, Kaifei Yang
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引用次数: 2

Abstract

City big data play the central role in the whole smart city system architecture, where the search engine acts as the entrance to these big data. In this paper, we focus on the topic of events management in the city. By visualizing the search results beyond the traditional page-list manner, we can provide more valuable insight of the important events occurring in the city. Our development comprises three aspects: (i) the elementary representations of one city event. Here, two manners are proposed: one for the emergency event real time detecting & tracing, the other continuously aggregating the data to describe the event completely, (ii) the high order city event(s) representations, which extend along three directions: event summary, event drill-down and multi-events, (iii) the intelligent methods behind events visualization in the circumstance of heterogeneous data from IOT (internet of things) and web.
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在搜索引擎上可视化城市事件:智慧城市的搜索基础设施
城市大数据在整个智慧城市系统架构中处于中心地位,而搜索引擎则是这些大数据的入口。本文以城市活动管理为研究对象。通过将搜索结果可视化,超越传统的页面列表方式,我们可以对城市中发生的重要事件提供更有价值的见解。我们的开发包括三个方面:(i)一个城市事件的基本表现。本文提出了两种方式:一种是针对突发事件的实时检测和跟踪,另一种是对数据的持续聚合,以完整地描述事件;(ii)高阶城市事件表示,它沿着事件汇总、事件深挖和多事件三个方向扩展;(iii)在物联网和web异构数据环境下的事件可视化背后的智能方法。
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