SSM: A Semantic Metasearch Platform for Scientific Data retrieval

Authors

DOI:

https://doi.org/10.22456/2175-2745.119164

Keywords:

Metadata, Query expansion, ontology, agriculture

Abstract

Scientific research in all fields has advanced in complexity and in the amount of data generated. The heterogeneity of data repositories, data meaning and their metadata standards makes this problem even more significant. In spite of several proposals to find and retrieve research data from public repositories, there is still need for more comprehensive retrieval solutions. In this article, we specify and develop a mechanism to search for scientific data that takes advantage of metadata records and semantic methods. We present the conception of our architecture and how we have implemented it in a use case in the agriculture domain.

Downloads

Download data is not yet available.

References

WILKINSON, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship.Scientific Data,v. 3, n. 1, p. 160018, dec 2016. ISSN 2052-4463. Disponível em:〈http://www.nature.com/articles/sdata201618〉.

GOTTARDI, T.; MEDEIROS, C. B.; REIS, J. D. Understanding semantic search on scientific repositories: Steps towardsmeaningful findability. In:1st virtual workshop on Research data management for Linked Open Science-DaMaLOS. [S.l.: s.n.],2020.

BORGES, G. C.; REIS, J. C. dos; MEDEIROS, C. B. Addressing search in scientific open data repositories: A semanticmetasearch platform. In: SBC.Anais do XV Brazilian e-Science Workshop. [S.l.], 2021. p. 81–88.

BREEDING, M. Plotting a new course for metasearch.Computers in Libraries, v. 25, n. 2, p. 27–29, 2005.

SIMIONATO, A. C. Mapeamento dos metadados para dados científicos. In:XVIII ENCONTRO NACIONAL DEPESQUISA EM CIÊNCIA DA INFORMAÇÃO (XVIII ENANCIB). [S.l.: s.n.], 2017.

KAISER, K. A. et al. Metadata: The accelerant we need.Information Services & Use, IOS Press, n. Preprint, p. 1–11,2020.

PIERRE, M. S.; LAPLANT, W. P. J. Issues in Crosswalking Content Metadata Standards.National Information StandardsOrganization - White Papers, 1998. Disponível em:〈https://groups.niso.org/publications/whitepapers/crosswalk/〉.

COSTA, M.; BRAGA, T. Repositórios de dados de pesquisa no mundo.Cadernos BAD, v. 0, n. 2, p. 80–95, 2016.Disponível em:〈https://www.bad.pt/publicacoes/index.php/cadernos/article/view/1585〉.

SANCHEZ, F. A.; Da Silva, N. B. P.; VECHIATO, F. L. Padrões de metadados para representação e organização da informação em repositórios de dados de pesquisa.Informação & Tecnologia, v. 5, n. 1, p. 37–51, feb 2019.Disponível em:〈http://periodicos.ufpb.br/index.php/itec/article/view/38350〉.

YAN, Q. et al. Community metadata ISO 19115 adaptor.28th International Conference on Computers and TheirApplications 2013, CATA 2013, p. 213–218, 2013.

SANTO, J. do E.; PAULA, E. V. de; MEDEIROS, C. B. Exploring Semantics in Clinical Data Interoperability. In:SPRINGER INTERNATIONAL PUBLISHING.Advances in Conceptual Modeling. [S.l.], 2019. p. 201–210.

IZQUIERDO, Y. T. et al. Keyword Search over the COVID-19 Data. In:Anais XXXV SBBD. Porto Alegre, RS, Brasil:SBC, 2020. p. 205–210. Disponível em:〈https://sol.sbc.org.br/index.php/sbbd/article/view/13642〉.

́AVILA, R. et al. Ligações Semânticas Utilizando Predicados SKOS. In:SBBD. [S.l.: s.n.], 2017. p. 88–99.

GAVANKAR, C. et al. A comparative study of semantic search systems.2020 International Conference on ComputerCommunication and Informatics, ICCCI 2020, p. 1–7, 2020.

JONQUET, C.; SHAH, N. H.; MUSEN, M. A. The open biomedical annotator.Summit on translational bioinformatics,v. 2009, p. 56–60, 2009. Disponível em:〈http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC3041〉.

RILEY, J. Understanding metadata.Washington DC, United States: National Information Standards Organization(http://www. niso. org/publications/press/UnderstandingMetadata. pdf), v. 23, 2017

Downloads

Published

2022-01-11

How to Cite

Borges, G. C., dos Reis, J. C., & Medeiros, C. B. (2022). SSM: A Semantic Metasearch Platform for Scientific Data retrieval. Revista De Informática Teórica E Aplicada, 29(1), 91–101. https://doi.org/10.22456/2175-2745.119164

Issue

Section

Selected Papers Brazilian E-Science Workshop - BRESCI 2021

Most read articles by the same author(s)