Linked Data quality

analysis of the theme from the perspective of Information Science

Authors

DOI:

https://doi.org/10.5433/2317-4390.2022v11n2p153

Keywords:

Data quality, Linked Data, Information Science, Systematic mapping of literature

Abstract

Objective: The present study aims to identify how the issue of Linked Data data quality is addressed in scientific articles indexed in Information Science databases.
Methodology: Systematic Mapping of Literature, based on a research protocol.
Results: As a result, 38 articles were retrieved, 9 being accepted to compose the theoretical corpus of the research.
Conclusions: It is concluded that the relationship between Linked Data data quality and Information Science is still little explored through scientific articles and that it is usually carried out from a more applied perspective, not being identified studies with the objective of presenting a more in-depth theoretical Reference of the theme.

Downloads

Download data is not yet available.

Author Biographies

Ananda Fernanda de Jesus, Universidade Estadual Paulista - UNESP

Doctoral student of the Graduate Program in Information Science at the Universidade Estadual Paulista (UNESP). Marília, Brasil.

José Eduardo Santarem Segundo, Universidade de São Paulo - USP

PhD in Information Science from the Universidade Estadual Paulista (UNESP). Professor at the University of Universidade de São Paulo (USP). Ribeirão Preto, Brasil.

References

AHMED, H. H. Data quality assessment in the integration process of linked pen data. In: INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, 14., 2017. Anais [...]. [S. l.]: Ieee/Acs, 2017. p. 1-6. Disponível em: 10.1109/AICCSA.2017.178. Acesso em: 04 jul. 2022. DOI: https://doi.org/10.1109/AICCSA.2017.178

ASSAF, A.; SENART, A.; TRONCY, R. Towards an objective assessment framework for linked data quality. International Journal On Semantic Web And Information Systems, [S. l.], v. 12, n. 3, p. 111-133, jul. 2016. Disponível em: http://dx.doi.org/10.4018/ijswis.2016070104. Acesso em: 27 maio 2022. DOI: https://doi.org/10.4018/IJSWIS.2016070104

BERNERS-LEE, T. Linked data, 2006. Disponível em: https://www.w3.org/DesignIssues/LinkedData.html. Acesso em: 08 set. 2020.

BIZER, C. Quality driven information filtering: in the context of web based information systems. Berlin: VDM Publishing, 2013. 196 p.

CANDELA, G.; ESCOBAR, P.; CARRASCO, R. C.; MARCO-SUCH, M. Evaluating the quality of linked open data in digital libraries. Journal Of Information Science, [S. l.], v. 48, n. 1, p. 21-43, ago. 2020. Disponível em: http://dx.doi.org/10.1177/0165551520930951. Acesso em: 26 maio 2022. DOI: https://doi.org/10.1177/0165551520930951

HADHIATMA, A. Improving data quality in the linked open data: a survey. Journal Of Physics: Conference Series, [S. l.], v. 978, p. 12-26, mar. 2018. Disponível em: http://dx.doi.org/10.1088/1742-6596/978/1/012026. Acesso em: 26 maio 2022. DOI: https://doi.org/10.1088/1742-6596/978/1/012026

HOMBURG, T. Connecting semantic situation descriptions with data quality evaluation: towards a framework of automatic thematic map evaluation. Information, [S. l.], v. 11, n. 11, p. 532, nov. 2020. Disponível em: http://dx.doi.org/10.3390/info11110532. Acesso em: 26 maio 2022. DOI: https://doi.org/10.3390/info11110532

ISAAC, A.; BAKER, T. Linked data practice at different levels of semantic precision: linked data practice at different levels of semantic precision. Bulletin of the association for information science and technology, [S. l.], p. 34-39, abr. 2015. Disponível em: 10.1002/bult.2015.1720410411. Acesso em: 05 jul. 2022. DOI: https://doi.org/10.1002/bult.2015.1720410411

ISOTANI, S.; BITTENCOURT, I. Dados abertos conectados. São Paulo: Novatec, 2015. 175 p. Disponível em: http://www.icmc.usp.br/e/b0477. Acesso em: 19 nov. 2020.

JESUS, A. J. Recomendações teórico-metodológicas para a publicação de dados bibliográficos abertos e conectados. 2021. 166 f. Dissertação (Mestrado em Ciência da Informação) – Universidade Federal de São Carlos, São Carlos, 2021. Disponível em: https://repositorio.ufscar.br/handle/ufscar/14228. Acesso em: 19 nov. 2020.

JURAN, J. M. Quality Control Handbook. New York: [s. n.], 1988. 500 p.

KITCHENHAM, B.; PRETORIUS, R.; BUDGEN, D.; BRERETON, O. P.; TURNER, M.; NIAZI, M.; LINKMAN, S. Systematic literature reviews in software engineering: a tertiary study. Information and Software Technology. [S. l.], v. 52, p. 792-805, jan. 2010. DOI: https://doi.org/10.1016/j.infsof.2010.03.006

KONTOKOSTAS, D.; WESTPHAL, P.; AUER, S.; HELLMANN, S.; LEHMANN, J.; CORNELISSEN, R.; ZAVERI, A. Test-driven evaluation of linked data quality. International Conference On World Wide Web, [S. l.], v. 1, n. 23, p. 747-758, 2014. Disponível em: http://dx.doi.org/10.1145/2566486.2568002. Acesso em: 26 maio 2022. DOI: https://doi.org/10.1145/2566486.2568002

LANGER, A.; SIEGERT, V.; GÖPFERT, C.; GAEDKE, M. SemQuire: assessing the data quality of linked open data sources based on dqv. Current Trends In Web Engineering, [S. l.], p. 163-175, 2018. DOI: https://doi.org/10.1007/978-3-030-03056-8_14

LOD CLOUD DIAGRAM. About. [S. l.: s. n.], 2022. Disponível em: https://lod-cloud.net/#about. Acesso em: 26 maio 2022.

MÁCHOVÁ, R.; LNĕNIčKA, M. A multi-criteria decision making model for the selection of open data management systems. Electronic Government, An International Journal, [S. l.], v. 15, n. 1, p. 1-18, 2019. Disponível em: http://dx.doi.org/10.1504/eg.2019.10017080. Acesso em: 27 maio 2022. DOI: https://doi.org/10.1504/EG.2019.10017080

MELO, J. O. de S. F. Metodologia de avaliação de qualidade de dados no contexto do linked data. 2017. 111 f. Dissertação (Mestrado em Ciência da Informação) - Faculdade de Filosofia e Ciências de Marília, Universidade Estadual Paulista, Marília, 2017.

MELO, J. O. S. F.; BOTEGA L. C.; SANTAREM SEGUNDO, J. E. Metodologia de avaliação de qualidade para dados conectados. Informação & Tecnologia, João Pessoa, v. 4, n. 2, p. 80-101, 2017. Disponível em: https://brapci.inf.br/index.php/res/download/105665#:~:text=Acredita%2Dse%20que%20a%20metodologia,no%20diagrama%20do%20projeto%20LOD. Acesso em: 05 jul. 2022. DOI: https://doi.org/10.22478/ufpb.2358-3908.2017v4n2.40539

MONIKA RANI, H. G.; SAPNA, R.; MISHRA, S. An investigative study on the quality aspects of linked open data. International Conference On Cloud Computing And Internet Of Things, [S. l.], p. 33-39, 2018. Disponível em: http://dx.doi.org/10.1145/3291064.3291074. Acesso em: 26 maio 2022. DOI: https://doi.org/10.1145/3291064.3291074

NELSON, R. R.; TODD, P. A.; WIXOM, B.H. Antecedents of information and system quality: an empirical examination within the context of data warehousing. Journal of Management Information Systems, [S. l.], v. 21, n. 4, p. 199-235, abr. 2005. DOI: https://doi.org/10.1080/07421222.2005.11045823

NOOGHABI, M. Z.; DASTGERDI, A. F. Proposed metrics for data accessibility in the context of linked open data. Program, [S. l.], v. 50, n. 2, p. 184-194, abr. 2016. Disponível em: http://dx.doi.org/10.1108/prog-01-2015-0007. Acesso em: 26 maio 2022. DOI: https://doi.org/10.1108/PROG-01-2015-0007

POSSEMATO, T. How rda is essential in the reconciliation and conversion processes for quality linked data. Jlis, [S. l.], v. 1, n. 1, p. 48-60, fev. 2018. Disponível em: http://dx.doi.org/10.4403/jlis.it-12447. Acesso em: 26 maio 2022.

SOYLU, A.; CORCHO, Ó.; ELVESÆTER, B.; BADENES-OLMEDO, C.; YEDRO-MARTÍNEZ, F.; KOVACIC, M.; POSINKOVIC, M.; MEDVEŠČEK, M.; MAKGILL, I.; TAGGART, C.; SIMPERL, E.; LECH, T. C.; ROMAN, D. Data quality barriers for transparency in public procurement. Information, [S. l.], v. 13, n. 2, p. 99-15, fev. 2022. Disponível em: http://dx.doi.org/10.3390/info13020099. Acesso em: 26 maio 2022. DOI: https://doi.org/10.3390/info13020099

TALLERÅS, K. Quality of linked bibliographic data: the models, vocabularies, and links of data sets published by four national libraries. Journal Of Library Metadata, [S. l.], v. 17, n. 2, p. 126-155, abr. 2017. Disponível em: http://dx.doi.org/10.1080/19386389.2017.1355166. Acesso em: 26 maio 2022. DOI: https://doi.org/10.1080/19386389.2017.1355166

W3C. Best practices for publishing linked data. 2014. Disponível em: https://www.w3.org/TR/ld-bp/. Acesso em: 22 abr. 2021.

W3C. Links in html documents. 2018. Disponível em: https://www.w3.org/TR/html401/cover.html#minitoc. Acesso em: 08 set. 2020.

WANG, R. Y.; STRONG, D. M. Beyond accuracy: what data quality means to data consumers. Journal of Management Information Systems, [S. l.], v. 12, n. 4, p 5-33, jan. 1996. DOI: https://doi.org/10.1080/07421222.1996.11518099

ZAVERI, A.; RULA, A.; MAURINO, A.; PIETROBON, R.; LEHMANN, J.; AUER, S.; HITZLER, P. Quality assessment methodologies for linked open data. SWJ, [S. l.], v.1, p. 1-5, 2012. Disponível em: http://www.semantic-web-journal.net/system/files/swj414.pdf. Acesso em: 22 abr. 2021.

Published

2023-09-20

How to Cite

JESUS, Ananda Fernanda de; SANTAREM SEGUNDO, José Eduardo. Linked Data quality: analysis of the theme from the perspective of Information Science. Informação@Profissões, [S. l.], v. 11, n. 2, p. 153–169, 2023. DOI: 10.5433/2317-4390.2022v11n2p153. Disponível em: https://ojs.uel.br/revistas/uel/index.php/infoprof/article/view/48595. Acesso em: 21 nov. 2024.

Most read articles by the same author(s)

Similar Articles

You may also start an advanced similarity search for this article.