Semantic Enrichment of Web Data for the Provision of an Unified Data Repository of Brazilian Missing Persons

Jorão Gomes Jr., Nicolas Ferranti, Jairo Francisco de Souza
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Abstract

Communication and data technologies are becoming closely linked to people's lives. Therefore it is natural to make use of all this progress to reduce and solve social problems. In order for government and society to make the most appropriate decisions to deal with civilian disappearance, it's necessary to have a well-structured source of information. In several countries, it's difficult to access government data, since information is dispersed, not connected and poorly structured. So this work presents a framework to gather information on civil disappearance in Brazil through techniques such as Data Scraping and Linked Data. The goal is to make available an automatic data centralization of these individual cases, and to encourage the use of standards for the publication of data that are frequently ignored by organizations, hindering analysis and decision making on data.
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为提供巴西失踪人员统一数据存储库而对Web数据进行语义充实
通信和数据技术与人们的生活紧密相连。因此,利用所有这些进步来减少和解决社会问题是很自然的。为了让政府和社会做出最恰当的决定来处理平民失踪,有必要有一个结构良好的信息来源。在一些国家,很难获得政府数据,因为信息是分散的,没有联系,结构也很差。因此,这项工作提出了一个框架,通过数据抓取和关联数据等技术收集巴西民事失踪信息。目标是提供这些个案的自动数据集中,并鼓励使用标准来发布经常被组织忽视、妨碍对数据进行分析和决策的数据。
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