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The Use of Software Tools in Linked Data Publication and Consumption: A Systematic Literature Review
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Author(s): Armando Barbosa (Federal University of Alagoas, Maceió, Brazil), Ig Ibert Bittencourt (Federal University of Alagoas, Maceió, Brazil), Sean Wolfgand Matsui Siqueira (Federal University of the State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil), Rafael de Amorim Silva (Federal University of Alagoas, Maceió, Brazil)and Ivo Calado (Federal Institute of Alagoas, Rio Largo, Brazil)
Copyright: 2021
Pages: 21
Source title:
Research Anthology on Digital Transformation, Organizational Change, and the Impact of Remote Work
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-7297-9.ch092
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Abstract
To reduce the complexity intrinsic to LD manipulation, software tools are used to publish or consume data associated to LD activities. However, few developers have a broad understanding of how software tools may be used in publication or consumption of Linked Data. The goal of this work is to investigate the use of software tools in Linked Data publication and consumption processes. More specifically, understanding how these software tools are related to process of publication or consumption of LD. In order to meet their goal, the authors conducted a Systematic Literature Review (SLR) to identify the studies on the use of software tools in these processes. The SLR gathered 6473 studies, of which only 80 studies remained for final analysis (1.25% of the original sample). The highlights of the study are: (1) initial steps of the publication process are fairly supported by the software tools; (2) Non-RDF serialization is fairly supported in publication and consumptions process by the software tools; and (3) there are non-supported steps in consumption and publication processes by the tools.
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