Proposal of a Brazilian Database Government Open Linked Data - DBgoldbr

被引:1
|
作者
Victorino, Marcio [1 ]
de Holanda, Maristela Terto [2 ]
Ishikawa, Edison [2 ]
Oliveira, Edgard Costa [3 ]
Ghinea, George [4 ,5 ]
Chhetri, Sammohan [4 ]
机构
[1] Univ Brasilia, Informat Sci Fac, Brasilia, DF, Brazil
[2] Univ Brasilia, Dept Comp Sci, Brasilia, DF, Brazil
[3] Univ Brasilia, Dept Prod Engn, Brasilia, DF, Brazil
[4] Brunel Univ London, Dept Comp Sci UK, Uxbridge, Middx, England
[5] Westerdals Oslo Sch Arts Commun & Technol, Fac Technol, Oslo, Norway
关键词
Open data; linked data; open government; Brazilian open data infrastructure;
D O I
10.1145/3167020.3167035
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The Brazilian Government has made available on the Web a massive volume of public data. This data may be structured, semi-structured or non-structured in order to turn the administration as transparent as possible. Thus, we notice the great challenge in providing applications capable enough to handle this Big Data environment, and to make information available for decision making. In this environment, data processing is done via new approaches from Information Science and Computer Science areas, by involving Technologies and processes for collecting, representing, storing and disseminating information. This paper presents a conceptual model, the technical architecture and the prototype implementation of a tool DBgoldbr, designed to classify government public information with the help of ontologies, by transforming open data into open linked data. To fulfill the purpose of the solution, we used Soft System Methodology to identify problems, to collect users needs and to design solutions that fit the purpose of specific groups. The DBgoldbr tool was designed to ease up the search for open data made available by many Brazilian Government institutions, so that this data can be reused to support the evaluation and monitoring of social programs, in order to support the design and management of public policies.
引用
收藏
页码:99 / 103
页数:5
相关论文
共 50 条
  • [31] Construction and Reuse of Linked Agriculture Data: An Experience of Taiwan Government Open Data
    Deng, Dongpo
    Mai, Guan-Shuo
    Shiau, Steven
    [J]. SEMANTIC TECHNOLOGY (JIST 2018), 2018, 11341 : 367 - 382
  • [32] Open government data use: The Brazilian states and federal district cases
    Kawashita, Ilka
    Baptista, Ana Alice
    Soares, Delfina
    Andrade, Morgana
    [J]. PLOS ONE, 2024, 19 (03):
  • [33] Supply and demand of open government data: a study in brazilian federal universities
    Albano, Claudio Sonaglio
    da Silva Craveiro, Gisele
    Carossi, Daniel Fernando
    [J]. REVISTA DE GESTAO E SECRETARIADO-GESEC, 2023, 14 (09): : 15191 - 15213
  • [34] Reuse of open data from the Brazilian government: update of the DGABr metric
    Silva, Patricia Nascimento
    [J]. EM QUESTAO, 2024, 30
  • [35] Linked Relations Architecture for Production and Consumption of Linksets in Open Government Data
    Milic, Petar
    Veljkovic, Natasa
    Stoimenov, Leonid
    [J]. OPEN AND BIG DATA MANAGEMENT AND INNOVATION, I3E 2015, 2015, 9373 : 212 - 222
  • [36] Applying Explainable Artificial Intelligence Techniques on Linked Open Government Data
    Kalampokis, Evangelos
    Karamanou, Areti
    Tarabanis, Konstantinos
    [J]. ELECTRONIC GOVERNMENT, EGOV 2021, 2021, 12850 : 247 - 258
  • [37] Integrated statistical indicators from Scottish linked open government data
    Karamanou, Areti
    Kalampokis, Evangelos
    Tarabanis, Konstantinos
    [J]. DATA IN BRIEF, 2023, 46
  • [38] Big and Open Linked Data (BOLD) in government: A challenge to transparency and privacy?
    Janssen, Marijn
    van den Hoven, Jeroen
    [J]. GOVERNMENT INFORMATION QUARTERLY, 2015, 32 (04) : 363 - 368
  • [39] Open Government, Open Data and Digital Government
    Luna-Reyes, Luis Felipe
    Bertot, John C.
    Mellouli, Sehl
    [J]. GOVERNMENT INFORMATION QUARTERLY, 2014, 31 (01) : 4 - 5
  • [40] Linked Data in Government
    Shadbolt, Nigel
    O'Hara, Kieron
    [J]. IEEE INTERNET COMPUTING, 2013, 17 (04) : 72 - 77