Enhancing Open Government Data With Data Provenance

被引：0

作者：

dos Reis, Cleyton P., Jr. ^{[1
,2
]}

da Silva, Waldeyr M. C. ^{[1
,3
]}

Martins, Luiz C. B. ^{[1
]}

Pinheiro, Rodrigo ^{[1
]}

Victorino, Marcio C. ^{[1
]}

Holanda, Maristela ^{[1
]}

机构：

[1] Univ Brasilia UnB, Brasilia, DF, Brazil

[2] Fed Inst Goias, Luziania, Go, Brazil

[3] Fed Inst Goias, Formosa, Go, Brazil

来源：

11TH INTERNATIONAL CONFERENCE ON MANAGEMENT OF DIGITAL ECOSYSTEMS (MEDES) | 2019年

关键词：

Provenance; Linked Open Data; Open Government Data; PROV-DM; WORKFLOWS; WEB;

D O I：

10.1145/3297662.3365791

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Brazilian Government has adhered to the Linked Open Government Data publication policy. Thus, promoting a more transparent and open administration, allowing greater participation of society, the strengthening of democracy, and combating corruption. All of these matters can be affected by how open data is published. Beyond the data itself, data provenance allows aggregate metadata such as when, how, and why the data were created and published. Given this scenario, we consider that the combination of data and its provenance enriches the traceability of the data exposing the methods and agents involved in its creation. This paper presents a technological solution in the context of Linked Open Government Data to enhance the public open government data publishing. It is delivered employing an information architecture that can provide the data provenance of public open government data using the PROV-DM and a graph database. In addition, we also present an implementation of the proposed information architecture for a public open linked data as a case study.

引用

页码：142 / 149

页数：8

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