bibliometric analysis of scientific production about linked data
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ID: 160695
2015
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Abstract
Introduction: Since Tim Berners-Lee coined the term Linked Data in 2006, many studies have emerged based on this initiative. Whether in the form of information access initiatives, whether in applications based on this data type, the interest in this new way to publish and consume information on the Web is increasingly in focus.
Objective: In this paper, we present a bibliometric review with the aim of contributing to a better understanding and clarification of concepts and terms associated with the area of Linked Data.
Methodology: We have used the Web of Science (WoS), Scopus, EBSCO and IEEE scientific databases, in order to find the existing studies about Linked Data until October 2012.
Results: We have mapped 148 scientific papers that address the above issue, written by 409 authors from 160 institutions from 30 different countries. Through the analysis of the articles, it was found that researches about Linked Data are concentrated in a small authors group, suggesting future research opportunities.
Conclusions: Synthesizing the information related to the scientific publications in a given area allows building a theoretical background that supports the development of future researches.
| Reference Key |
pizzol2015informaobibliometric
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| Authors | ;Leandro Dal Pizzol;Rafael de Moura Speroni;Airton Zancanaro;Fernando Ostuni Gauthier;José Leomar Todesco |
| Journal | journal of pharmaceutical sciences |
| Year | 2015 |
| DOI |
10.5433/1981-8920.2015v20n3p77
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