LGPD: A Formal Concept Analysis and its Evaluation
Resumo
Nowadays, personal data generated through the use of smart devices are collected and stored by many companies. So, concerns about privacy issues are raised by users. In this context, the Brazilian General Law for the Protection of Personal Data (LGPD) was proposed in 2018. It regulates how any company must store and process personal data. This paper details the results of applying formal concept analysis (FCA) to the LGPD. The goal of applying FCA was to elicit key insights to support software development or re-design in compliance with LGPD. Besides, we propose an automatic manner to apply FCA.
Palavras-chave:
LGPD, GDPR, Formal Concept Analysis, NLP
Referências
Abhijeet Gupta (2013). Complex Aggregates In Natural Language Interface To Databases. International Institute of Information Technology, Hyderabad.
Bharati, A., Bhatia, M., Chaitanya, V. and Sangal, R. (2014). Paninian Grammar Framework Applied to English South Asian Language Review, Creative Books, New Delhi, 1998.
Gupta, A., Akula, A., Malladi, D., et al. (2012). A novel approach towards building a portable NLIDB system using the computational Paninian grammar framework. Proc. 2012 Int'l. Conf. on Asian Language Processing, IALP 2012, p. 93–96.
Gupta, A. and Sangal, R. (2013). A Novel Approach to Aggregation Processing in Natural Language Interfaces to Databases. Proc. 10th International Conference on Natural Language Processing - ICON-2013.
Li, F. and Jagadish, H. V. (2014). NaLIR: An interactive natural language interface for querying relational databases. Proc. 2014 ACM SIGMOD International Conference on Management of Data, Snowbird, Utah, USA (June 2014), p. 709–712.
Li, F. and Jagadish, H. V (2014). Constructing an interactive natural language interface for relational databases. Proc. of the VLDB Endowment, v. 8, n. 1, p. 73–84.
Li, F. and Jagadish, H. V (2016). Understanding Natural Language Queries over Relational Databases. ACM SIGMOD Record, v. 45, n. 1, p. 6–13.
Pazos R, R. A., Aguirre L, M. A., González B, J. J., et al. (2016). Comparative study on the customization of natural language interfaces to databases. SpringerPlus 5, 553.
Pazos R, R. A., Verastegui, A. A., Martínez F, J. A., Carpio, M. and Gaspar H, J. (2018).
Translation of natural language queries to SQL that involve aggregate functions, grouping and subqueries for a natural language interface to databases. In: Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications. Studies in Computational Intell., vol 749. Springer, Cham, p. 431–448.
Tata, S. and Lohman, G. M. (2008). SQAK: Doing more with keywords. Proc. of the 2008 ACM SIGMOD International Conference on Management of Data, Vancouver Canada (June 2008), p. 889–901.
Bharati, A., Bhatia, M., Chaitanya, V. and Sangal, R. (2014). Paninian Grammar Framework Applied to English South Asian Language Review, Creative Books, New Delhi, 1998.
Gupta, A., Akula, A., Malladi, D., et al. (2012). A novel approach towards building a portable NLIDB system using the computational Paninian grammar framework. Proc. 2012 Int'l. Conf. on Asian Language Processing, IALP 2012, p. 93–96.
Gupta, A. and Sangal, R. (2013). A Novel Approach to Aggregation Processing in Natural Language Interfaces to Databases. Proc. 10th International Conference on Natural Language Processing - ICON-2013.
Li, F. and Jagadish, H. V. (2014). NaLIR: An interactive natural language interface for querying relational databases. Proc. 2014 ACM SIGMOD International Conference on Management of Data, Snowbird, Utah, USA (June 2014), p. 709–712.
Li, F. and Jagadish, H. V (2014). Constructing an interactive natural language interface for relational databases. Proc. of the VLDB Endowment, v. 8, n. 1, p. 73–84.
Li, F. and Jagadish, H. V (2016). Understanding Natural Language Queries over Relational Databases. ACM SIGMOD Record, v. 45, n. 1, p. 6–13.
Pazos R, R. A., Aguirre L, M. A., González B, J. J., et al. (2016). Comparative study on the customization of natural language interfaces to databases. SpringerPlus 5, 553.
Pazos R, R. A., Verastegui, A. A., Martínez F, J. A., Carpio, M. and Gaspar H, J. (2018).
Translation of natural language queries to SQL that involve aggregate functions, grouping and subqueries for a natural language interface to databases. In: Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications. Studies in Computational Intell., vol 749. Springer, Cham, p. 431–448.
Tata, S. and Lohman, G. M. (2008). SQAK: Doing more with keywords. Proc. of the 2008 ACM SIGMOD International Conference on Management of Data, Vancouver Canada (June 2008), p. 889–901.
Publicado
28/09/2020
Como Citar
MARTINS, Antônio Diogo Forte; BARROS, Patrícia Vieira da Silva; MONTEIRO, José Maria; MACHADO, Javam de Castro.
LGPD: A Formal Concept Analysis and its Evaluation. In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 35. , 2020, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 259-264.
ISSN 2763-8979.
DOI: https://doi.org/10.5753/sbbd.2020.13651.
