Details
| Translated title of the contribution | Supporting scientometric studies with linked open data |
|---|---|
| Original language | Portuguese |
| Pages (from-to) | 47-67 |
| Number of pages | 21 |
| Journal | Perspectivas em Ciencia da Informacao |
| Volume | 22 |
| Issue number | 4 |
| Publication status | Published - 1 Oct 2017 |
| Externally published | Yes |
Abstract
In Scientometric Studies, measuring scientific indicators is a complex task due to the challenges associated with data collection, organization and linking, especially in the web, where data is distributed in various sources and incompatible formats. These problems can be tackled with the technological and methodological techniques based on the Linked Open Data principles. These principles cover a set of the best practices from the fields of Semantic Web and Open Data to organize, publish and interlink the data on the Web. With the use of those best practices, the data can be accessed and consumed without restrictions, in many applications. This paper addresses the availability of a Qualis historical dataset, according to the mentioned principles. In Scientometric studies, this effort is important for data reuse, taking into the account: measuring an evolution of scientific journals; assisting production of qualitative and quantitative measures of scientific publications; or obtaining relevant information by interlinking and exploring other scientific indicators. The availability of the Qualis dataset is verified by the three use cases. As a result, the Qualis index (historical series 2005-2013) is shared by a web interface for: (i) furthering the data reuse and integration; and (ii) supporting the interoperability and computational processability of the available resources.
Keywords
- Linked open data, Qualis index, Scientometric studies, Scientometrics, Semantic web
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Arts and Humanities(all)
- Museology
- Social Sciences(all)
- Library and Information Sciences
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In: Perspectivas em Ciencia da Informacao, Vol. 22, No. 4, 01.10.2017, p. 47-67.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Apoiando estudos cientométricos com linked open data
AU - Rautenberg, Sandro
AU - Marx, Edgard
AU - Gomes Filho, Antonio Costa
AU - Auer, Sören
N1 - Funding information: O autor principal agradece à Fundação Araucária pelo suporte financeiro (Projeto n° 601/2014 - Modelo para Compartilhamento de Informações sobre Pesquisas baseado em Linked Open Data para Estudos Cientométricos) e a Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES - Processo número: 18228/12-7).
PY - 2017/10/1
Y1 - 2017/10/1
N2 - In Scientometric Studies, measuring scientific indicators is a complex task due to the challenges associated with data collection, organization and linking, especially in the web, where data is distributed in various sources and incompatible formats. These problems can be tackled with the technological and methodological techniques based on the Linked Open Data principles. These principles cover a set of the best practices from the fields of Semantic Web and Open Data to organize, publish and interlink the data on the Web. With the use of those best practices, the data can be accessed and consumed without restrictions, in many applications. This paper addresses the availability of a Qualis historical dataset, according to the mentioned principles. In Scientometric studies, this effort is important for data reuse, taking into the account: measuring an evolution of scientific journals; assisting production of qualitative and quantitative measures of scientific publications; or obtaining relevant information by interlinking and exploring other scientific indicators. The availability of the Qualis dataset is verified by the three use cases. As a result, the Qualis index (historical series 2005-2013) is shared by a web interface for: (i) furthering the data reuse and integration; and (ii) supporting the interoperability and computational processability of the available resources.
AB - In Scientometric Studies, measuring scientific indicators is a complex task due to the challenges associated with data collection, organization and linking, especially in the web, where data is distributed in various sources and incompatible formats. These problems can be tackled with the technological and methodological techniques based on the Linked Open Data principles. These principles cover a set of the best practices from the fields of Semantic Web and Open Data to organize, publish and interlink the data on the Web. With the use of those best practices, the data can be accessed and consumed without restrictions, in many applications. This paper addresses the availability of a Qualis historical dataset, according to the mentioned principles. In Scientometric studies, this effort is important for data reuse, taking into the account: measuring an evolution of scientific journals; assisting production of qualitative and quantitative measures of scientific publications; or obtaining relevant information by interlinking and exploring other scientific indicators. The availability of the Qualis dataset is verified by the three use cases. As a result, the Qualis index (historical series 2005-2013) is shared by a web interface for: (i) furthering the data reuse and integration; and (ii) supporting the interoperability and computational processability of the available resources.
KW - Linked open data
KW - Qualis index
KW - Scientometric studies
KW - Scientometrics
KW - Semantic web
U2 - 10.1590/1981-5344/2817
DO - 10.1590/1981-5344/2817
M3 - Article
AN - SCOPUS:85042670898
VL - 22
SP - 47
EP - 67
JO - Perspectivas em Ciencia da Informacao
JF - Perspectivas em Ciencia da Informacao
SN - 1413-9936
IS - 4
ER -