Adaptive and Interoperable Crowdsourcing
Adaptive and Interoperable Crowdsourcing
复制标题
适应性和可互操作的众包
DOI：
10.1109/mic.2015.18
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发表时间：
2015
影响因子：
3.2
通讯作者：
Riccardo Volonterio
中科院分区：
文献类型：
--
作者：
Marco Brambilla;S. Ceri;A. Mauri;Riccardo Volonterio
基于人群的计算是构建Web应用程序的一种越来越流行的范例，它使用人类参与者的集体力量来执行比计算机更适合人类的任务。与人群的互动最初仅限于专门设计的众包平台，如亚马逊土耳其机械公司。最近，基于人群的计算得到了重新考虑和扩展，目标是社交网络，如Facebook，Twitter或LinkedIn，或包括基本和直接的互动机制，如路由个人电子邮件或推文。这里介绍的系统CrowdCloud促进了基于人群的应用程序的互操作性和适应性-例如，支持多平台应用程序并使其适应事件的能力。这种方法特别支持动态互操作性（即，在应用程序运行时修改执行平台的能力），作为对人群行为的反应，这是很难预测的。作者展示了如何在一个高的、声明性的级别上指定互操作性控制，然后使用主动规则来实现它，从而从不同社区的人群中获得答案。它们还显示了该方法对精度、延迟和成本的影响。
Crowd-based computing is an increasingly popular paradigm for building Web applications, which uses the collective strength of human actors for performing tasks that are more suited to humans than computers. Interaction with the crowds was originally confined to specifically designed crowdsourcing platforms, such as Amazon Mechanical Turk. More recently, crowd-based computing has been reconsidered and extended, targeting social networks such as Facebook, Twitter, or LinkedIn, or including basic and direct interaction mechanisms, such as routing personal emails or tweets. Crowdsearcher, the system presented here, fosters interoperability and adaptation in crowd-based applications -- for example, the ability of supporting multiplatform applications and adapting them in reaction to events. This approach specifically supports dynamic interoperability (that is, the ability to modify the execution platforms while the application is ongoing) as a reaction to crowd behavior, which is hardly predictable. The authors show how to specify interoperability control at a high, declarative level and then implement it using active rules, thereby obtaining answers from crowds engaged in different communities. They also show the approach's effect on precision, delay, and cost.