Eywa: Crowdsourced and cloudsourced omniscience

M. Demirbas, Y. Yilmaz, Muhammed Fatih Bulut
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引用次数: 3

Abstract

Here we present our ubiquitous computing vision, Eywa. Eywa is an open publish-subscribe system that employs crowdsourcing for tasking and social networks & machine learning for identifying relevance. We argue that crowdsourcing (and the social networks and machine learning that enable it) should be a first class citizen in ubiquitous computing. We also observe that cloud computing is a natural platform to host such future ubiquitous computing systems. We discuss about some applications enabled by Eywa, and focus on our CuratedLiving application (which emphasizes “less choice more relevance” approach) as a case study.
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Eywa:众包和云包的全知
在这里,我们展示我们的无处不在的计算视觉,Eywa。Eywa是一个开放的发布-订阅系统,使用众包来完成任务,使用社交网络和机器学习来识别相关性。我们认为,众包(以及使之成为可能的社交网络和机器学习)应该成为普适计算中的一等公民。我们还观察到,云计算是承载这种未来无处不在的计算系统的自然平台。我们讨论了一些由Eywa启用的应用程序,并将重点放在我们的CuratedLiving应用程序(强调“选择更少,相关性更强”的方法)作为案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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