Linked Open Government Data Analytics

Linked Open Government Data Analytics
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链接开放政府数据分析

DOI:
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发表时间:
2013
期刊:
International Conference on Electronic Government
影响因子:
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通讯作者:
K. Tarabanis
K. Tarabanis
中科院分区:
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文献类型:
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作者:
E. Kalampokis;E. Tambouris;K. Tarabanis

文献摘要

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虽然最近发起的开放政府数据OGD运动承诺提供一些好处,但最近的研究表明,其全部潜力尚未实现。如果我们考虑到数据在现代社会中的巨大重要性,那么利用开放数据的困难似乎令人惊讶。在本文中,我们声称OGD的真实的价值将通过在组合的统计数据集上执行数据分析来揭示,这些数据集以前在不同的来源中是封闭的,现在可以链接起来提供意想不到的和未探索的见解。为了支持这一主张,我们描述了相关的OGD分析概念沿着其技术要求,并证明了其最终用户的价值采用与英国大选相关的用例。该用例显示,两个主要政党之一(即工党和保守党)在英国选区获胜的概率与同一选区的失业率之间存在显着关系。
Although the recently launched Open Government Data OGD movement promised to provide a number of benefits, recent studies have shown that its full potential has not yet realized. The difficulty in exploiting open data seems surprising if we consider the huge importance data have in modern societies. In this paper we claim that the real value of OGD will unveil from performing data analytics on top of combined statistical datasets that were previously closed in disparate sources and can now be linked to provide unexpected and unexplored insights. To support this claim, we describe the linked OGD analytics concept along with its technical requirements and demonstrate its end-user value employing a use case related to UK general elections. The use case revealed that there is a significant relationship between the probability one of the two main political parties i.e. Labour Party and Conservative Party to win in a UK constituency and the unemployment rate in the same constituency.