Linked Data and Information Science: guidelines for publishing open institutional datasets

Authors

DOI:

https://doi.org/10.5195/biblios.2018.429

Keywords:

Datahub, Datasets, Information Science, Linked Data

Abstract

Objective. The purpose of this paper is to propose guidelines for the publication of data, according to the principles of Linked Data, from an Information Science perspective.

Method. The methodology used comprised a bibliographical and documentary review, followed by an exploratory and applied procedure, to evaluate the scope of Linked Data principles on the dissemination of resources in social transformations. Key works by the creator and propagator of Linked Data practices, Tim Berners-Lee, were used as the basis of the proposal. In addition, we chose to analyze projects and datasets from the educational area, since they are composed, mostly, of open, accessible and reusable resources.

Results. The results are summarized in the main guidelines for the publication of datasets, reinforcing the initiative of professionals, researchers and institutions for reuse and interoperability.

Conclusions. The main conclusions of this discussion are summarized in two lines. The first one deals with the new perspectives that arise from this approach of Information Science on Linked Data, within the scope of its object and its manifestations. The second relies on the need for commitment of information professionals with issues related to Linked Data, in order to broaden the informational universe and the environment of satisfaction of users' needs.

Author Biographies

Januário Albino Nhacuongue, Universidade Federal de Santa Catarina – UFSC

Doutor em Ciência da Informação pela Universidade Estadual Paulista Júlio de Mesquita Filho, em estágio pós-doutoral no Programa de Pós-graduação em Ciência da Informação da Universidade Federal de Santa Catarina (PGCIN/UFSC).

Vitor Rozsa, Universidade Federal de Santa Catarina – UFSC

Mestrando do Programa de Pós-graduação em Ciência da Informação da Universidade Federal de Santa Catarina (PGCIN/UFSC).

Moisés Lima Dutra, Universidade Federal de Santa Catarina – UFSC

Docente do Programa de Pós-graduação em Ciência da Informação da Universidade Federal de Santa Catarina (PGCIN/UFSC).

References

ALEXANDER, Keith et al. Describing Linked Datasets: On the Design and Usage of voiD, the “Vocabulary of InterLinked Datasets”. In: LINKED DATA ON THE WEB WORKSHOP, 2., 2009, Madri, Espanha. LINKED DATA ON THE WEB. Madri: LDOW2009, 2009. p. 1 - 10.

BARKER, Phil; CAMPBELL, Lorna M. Technology strategies for open educational resource dissemination. In: BLESSINGER, Patrick;

BLISS, Tj (Ed.). Open education: international perspectives in high education. Cambridge, Reino Unido: Openbook Publishers, 2016. p. 51-71.

BERNERS-LEE, Tim. Linked Data. Disponível em: https://www.w3.org/DesignIssues/LinkedData.html . Acesso em: 21 maio 2018.

BIZER, Christian; HEATH, Tom; BERNERS-LEE, Tim. Linked Data: The Story So Far. 2009. Disponível em: http://tomheath.com/papers/bizer-heath-berners-lee-ijswis-linked-data.pdf . Acesso em: 21 maio 2018.

BLESSINGER, P.; BLISS, TJ. Introduction to open education: towards a human rights theory. In: Blessinger, P. e Bliss, TJ (ed.) Open education: international perspectives in high education. Cambridge, Reino Unido, Openbook Publishers, 2016. p. 11-30.

BUCKLAND, Michael K. Information as thing. Journal Of The American Society For Information Science, Berkeley (CA), EUA, v. 5, n. 45, p.351-360, jun. 1991.

CAPURRO, Rafael; HJORLAND, Birger. O conceito de informação. Perspectivas em Ciência da Informação, Belo Horizonte, v. 12, n. 1, p.148-207, jan. 2007. Disponível em: http://portaldeperiodicos.eci.ufmg.br/index.php/pci/article/view/54/47 . Acesso em: 21 maio 2018.

D’AQUIN, Mathieu et al. LinkedUp Veni Competition: Linked and Open Data for Education. 2013. Disponível em: http://ceur-ws.org/Vol-1124/linkedup_veni2013_introduction.pdf . Acesso em: 21 maio 2018.

DIETZE, Stefan et al. Interlinking educational Resources and the Web of Data: a Survey of Challenges and Approaches. Data Technologies And Applications, [s.l.], v. 47, n. 1, p.60-91, jan. 2013. Disponível em: https://stefandietze.files.wordpress.com/2009/01/dietze-et-al-linkededucation-survey-final.pdf . Acesso em: 21 maio 2018.

HEATH, Tom; BIZER, Christian. Linked Data: Evolving the Web into a Global Data Space. San Rafael (CA), EUA: Morgan & Claypool Publishers, 2011.

INGWERSEN, P. Conceptions of information science. In: VAKKARI, P.; CRONIN, B. (Ed.). Conceptions of library and information science: historical, empirical and theoretical perspectives. Los Angeles: Taylor Graham, 1992. p.299-312.

KEßLER, Carsten; D’AQUIN, Mathieu; DIETZE, Stefan. Linked Data for Science and Education. 2009. Disponível em: https://pdfs.semanticscholar.org/9c89/005b0e7e417b52c596c4eb5d3cc8fd1f43cf.pdf . Acesso em: 21 maio 2018.

OPEN KNOWLEDGE INTERNATIONAL. LinkedUp. Disponível em: https://okfn.org/projects/linkedup/ . Acesso em: 21 maio 2018.

RIBEIRO JUNIOR, Divino Ignácio. Repositórios de dados para E-Science: Open Data, Linked Data e suas tecnologias. Ciência da Informação, Brasília, v. 42, n. 2, p.274-284, maio 2013. Disponível em: http://revista.ibict.br/ciinf/article/view/1386/1564 . Acesso em: 21 maio 2018.

SANT’ANA, Ricardo César Gonçalves. Ciclo de vida dos dados: uma perspectiva a partir da ciência da informação. Informação & Informação, Londrina, v. 21, n. 2, p.116-142, maio 2016. Disponível em: http://www.uel.br/revistas/uel/index.php/informacao/article/view/27940/20124 . Acesso em: 21 maio 2018.

SARACEVIC, Tefko. CIÊNCIA DA INFORMAÇÃO: ORIGEM, EVOLUÇÃO E RELAÇÕES. Perspectivas em Ciência da Informação, Belo Horizonte, v. 1, n. 1, p.41-62, jan. 1996. Disponível em: http://portaldeperiodicos.eci.ufmg.br/index.php/pci/article/view/235/22 . Acesso em: 21 maio 2018.

SCHAIBLE, Johann; GOTTRON, Thomas; SCHERP, Ansgar. Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling. In: EUROPEAN SEMANTIC WEB CONFERENCE (ESWC), 11., 2014, Creta, Grécia. The Semantic Web: Trends and Challenges. Creta, Grécia: ESWC2014, 2014. p. 457 - 472. Disponível em: https://pdfs.semanticscholar.org/9dbf/2c4352960c45f7b3183952c6f287b8cd7310.pdf . Acesso em: 21 maio 2018.

SEGUNDO, José Eduardo Santarem. Web Semântica: Introdução a recuperação de dados usando SPARQL. In: ENCONTRO NACIONAL DE PESQUISAS EM CIêNCIA DA INFORMAÇÃO (ENANCIB), 14., 2014, Belo Horizonte. Além das nuvens: expandindo as fronteiras da ciência da informação. Belo Horizonte: Ufmg, 2014. p. 3242 - 3261. Disponível em: https://www.researchgate.net/publication/304216019_WEB_SEMANTICA_INTRODUCAO_A_RECUPERACAO_DE_DADOS_USANDO_SPARQL . Acesso em: 21 maio 2018.

SMIRAGLIA, Richard P. Content Metadata: An Analysis of Etruscan Artifacts in a Museum of Archeology. Cataloging & Classification Quarterly, Filadélfia (PA), EUA, v. 40, n. 3, p.135-151, ago. 2005. Disponível em: https://pdfs.semanticscholar.org/8e67/44aa77ac12476510d44a8ffb3370938f7654.pdf . Acesso em: 21 maio 2018.

WOOD, D. et al. Linked Data. Shelter Island (NY), EUA: Manning Publications, 2014.

W3C. SPARQL 1.1 Update: W3C Recommendation 21 March 2013. 2013. Disponível em: https://www.w3.org/TR/sparql11-update/ . Acesso em: 21 maio 2018.

W3C. Linked Data Platform 1.0: W3C Recommendation 26 February 2015. 2015. Disponível em: https://www.w3.org/TR/2015/REC-ldp-20150226/ . Acesso em: 21 maio 2018.

YANG, Tao et al. Efficient SPARQL Query Evaluation via Automatic Data Partitioning. In: INTERNATIONAL CONFERENCE ON DATABASE SYSTEMS FOR ADVANCED APPLICATIONS (DASFAA), 18., 2013, Wuhan, China. Database Systems for Advanced Applications. Wuhan, China: DASFAA, 2013. p. 244 - 258. Disponível em: http://iir.ruc.edu.cn/~jchchen/rdfDasfaa13.pdf . Acesso em: 21 maio 2018.

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Published

2019-02-05

How to Cite

Nhacuongue, J. A., Rozsa, V., & Dutra, M. L. (2019). Linked Data and Information Science: guidelines for publishing open institutional datasets. Biblios Journal of Librarianship and Information Science, (73), 20–34. https://doi.org/10.5195/biblios.2018.429

Issue

No. 73 (2018)

Section

Original

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