Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/89559
Título: | Map4Scrutiny - A linked Open Data solution for politicians interest registers |
Autor(es): | Lopes, Inês Catarina Barreira Baptista, Ana Alice Afonso, Óscar Atanázio |
Palavras-chave: | Metadata Linked data Tranparency Open Government Data |
Data: | Out-2022 |
Editora: | Dublin Core Metadata Initiative (DCMI) |
Citação: | Lopes, I., Batista, A. A., & Afonso, Ó. A. (2023). Map4Scrutiny – A Linked Open Data Solution for Politicians Interest Registers. International Conference on Dublin Core and Metadata Applications, 2022. https://doi.org/10.23106/dcmi.953176634 |
Resumo(s): | This article describes the process and results of providing data from the members of the Portuguese Parliament interest registers and the Public Procurement database as Linked Open Data. The organizations mentioned in both link the two resources. The two resources are linked by the organizations mentioned in both. This article focuses on two areas: design and implementation. The first depicts the process of designing an application profile, structuring and describing the data, and creating shapes in ShEx for validation. Both existing and new properties, classes, and controlled vocabularies are used to describe the data in triples. During implementation, OpenRefine is used to clean and uniformize data, reconcile values into links, map triples from tabular to RDF, and export in RDF Turtle. The exported data is validated against the defined ShEx shapes, published in a Triplestore, and queried with SPARQL. The queries are used to showcase the difference between the sourced data and the resulting linked dataset. This article describes every step of the implementation and provides a global vision of how to create Linked Open Data from structured and unstructured sources. These descriptions are particularly useful for researchers and professionals aiming to develop a similar project. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/89559 |
DOI: | 10.23106/dcmi.953176634 |
Versão da editora: | https://dcpapers.dublincore.org/article/953176634 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | DSI - Sociedade da Informação |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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dcmi-953176634.pdf | 827,58 kB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons