Linking Smart Cities Datasets with Human Computation - The Case of UrbanMatch
Linking Smart Cities Datasets with Human Computation - The Case of UrbanMatch
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将智慧城市数据集与人类计算联系起来——UrbanMatch 的案例
DOI：
10.1007/978-3-642-35173-0_3
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
T. Krüger
中科院分区：
文献类型：
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作者：
I. Celino;S. Contessa;Marta Corubolo;Daniele Dell'Aglio;Emanuele Della Valle;Stefano Fumeo;T. Krüger
为了实现智慧城市愿景，应用程序可以利用与城市环境相关的开放数据集的大量可用性。这些数据集需要集成，但通常很难自动实现高质量的互连。人类计算方法可以用来解决机器效率低下的任务。我们认为，在这种情况下，不仅人们的背景知识有助于解决任务，而且人们的实际存在和直接经验也可以被成功利用。在本文中，我们介绍了 UrbanMatch，这是一款针对移动玩家的游戏，旨在验证兴趣点与其照片之间的链接；我们讨论了设计选择，并展示了互连任务中实现的高吞吐量和准确性。
To realize the Smart Cities vision, applications can leverage the large availability of open datasets related to urban environments. Those datasets need to be integrated, but it is often hard to automatically achieve a high-quality interlinkage. Human Computation approaches can be employed to solve such a task where machines are ineffective. We argue that in this case not only people’s background knowledge is useful to solve the task, but also people’s physical presence and direct experience can be successfully exploited. In this paper we present UrbanMatch, a Game with a Purpose for players in mobility aimed at validating links between points of interest and their photos; we discuss the design choices and we show the high throughput and accuracy achieved in the interlinking task.