Review and comparison of works on heterogeneous data and semantic analysis in Big Data

Review and comparison of works on heterogeneous data and semantic analysis in Big Data

Authors

DOI:

https://doi.org/10.5433/1679-0375.2021v42n1p113

Keywords:

Data analysis, Heterogeneous data, Big data, Semantic heterogeneity, Structural heterogeneity

Abstract

In integration approaches, heterogeneity is one of the main challenging factors on the task of providing integration among different data sources, whose solution lies in the search for equality among them. This work describes the state of the art and theoretical foundation involved in the structural and semantic analysis of heterogeneous data and information. The work aims to review methods and techniques used in data integration in Big Data, considering data heterogeneity, reviewing techniques that use the concepts of Semantic Web, Cloud Computing, Data Analysis, Big Data, Data Warehouse and other technologies to solve the problem of data heterogeneity. The research was divided into three stages. In the first stage, articles were selected from digital libraries according to their titles and keywords. In the second stage, the papers went through a second filter based on their summary, and, besides that, duplicate articles were also removed. The works’ introduction and conclusion were analyzed in the third stage to select the articles belonging to this systematic review. Throughout the study, articles were analyzed, compared and categorized. At the end of each section, the interrelationships and possible areas for future work were shown.

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Author Biographies

Vitor Valerio de Souza Campos, Universidade Estadual de Londrina - UEL

Prof. Dr., Dept. Computer Science, UEL, Londrina, PR, Brazil

Jacques Duílio Brancher, Universidade Estadual de Londrina - UEL

Prof. Dr., Dept. Computer Science, UEL, Londrina, PR, Brazil

Francyelcyo Pussi Farias, Universidade Estadual de Londrina - UEL

Master’s Degree student, Dept. Computer Science, UEL, Londrina, PR, Brazil.

José Luiz Villela Marcondes Mioni, Universidade Estadual de Londrina - UEL

Master’s Degree student, Dept. Computer Science, UEL, PR, Brazil

Pedro Luiz Garbim Brahim, Universidade Estadual de Londrina - UEL

Graduation student, Dept. Computer Science, UEL, PR, Brazil.

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Published

2021-06-30

How to Cite

Campos, V. V. de S., Brancher, J. D., Farias, F. P., Mioni, J. L. V. M., & Brahim, P. L. G. (2021). Review and comparison of works on heterogeneous data and semantic analysis in Big Data. Semina: Ciências Exatas E Tecnológicas, 42(1), 113–128. https://doi.org/10.5433/1679-0375.2021v42n1p113

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