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Application of Crowdsourcing to Generate Datasets of Public Procurement Processes

机译:应用众包生成公共采购流程数据集

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In order to fight against Corruption, there are currently laws of free access to public information that favor transparency in many countries. In this opening scenario, information and communication technologies play an important role in facilitating the delivery of information that is made available to citizens seeking to enable greater control over the actions of government and civil servants. Nevertheless, in many cases, the information provided is aimed at human reading and interpretation and it is not published in machine-processable formats, a condition that hinders automatic processing using state-of-the-art computational techniques. This article presents a new method of data collection based on Crowdsourcing that allows generating data sets of public procurement processes from the unstructured information published on the Web. The results obtained show that our method allows the generation of reliable public procurement data sets in a scalable way whose scope is limited by the availability of data and the transparency of the country.
机译:为了与腐败作斗争,当前有自由获取公共信息的法律,在许多国家中有利于透明度。在这种开放的情况下,信息和通信技术在促进信息传递方面起着重要的作用,信息传递给希望对政府和公务员的行为进行更大控制的公民。但是,在许多情况下,所提供的信息是针对人类阅读和解释的,并且不会以机器可处理的格式发布,这种情况阻碍了使用最新的计算技术进行自动处理。本文介绍了一种基于众包的数据收集新方法,该方法允许从Web上发布的非结构化信息生成公共采购流程的数据集。获得的结果表明,我们的方法允许以可扩展的方式生成可靠的公共采购数据集,其范围受到数据可用性和国家透明度的限制。

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