Abstract
This paper introduces a model to store semi-structured data while documenting its semantic changes over time. The paper also presents algorithms for querying semantic evolved data, which conciliate the multiple versions the data may have. An implementation of the model and algorithms, MellowDB, was developed, and its performance was analyzed, showing the proposed algorithms and model are feasible.
This research is part of the INCT of the Future Internet for Smart Cities funded by CNPq proc. 465446/2014-0, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001, FAPESP proc. 14/50937-1, and FAPESP proc. 15/24485-9.
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References
Brahmia, S., Brahmia, Z., Grandi, F., Bouaziz, R.: \(\tau \)JSchema: a framework for managing temporal JSON-based NoSQL databases. In: Hartmann, S., Ma, H. (eds.) DEXA 2016. LNCS, vol. 9828, pp. 167–181. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-44406-2_13
Cooper, B.F., Silberstein, A., Tam, E., Ramakrishnan, R., Sears, R.: Benchmarking cloud serving systems with YCSB. In: Proceedings of the 1st ACM symposium on Cloud computing, pp. 143–154 (2010)
Curino, C., Moon, H.J., Deutsch, A., Zaniolo, C.: Automating the database schema evolution process. VLDB J. 22(1), 73–98 (2013)
Herrmann, K., Voigt, H., Behrend, A., Rausch, J., Lehner, W.: Living in parallel realities: co-existing schema versions with a bidirectional database evolution language. In: Proceedings of the 2017 ACM International Conference on Management of Data, pp. 1101–1116. SIGMOD/PODS 2017 (2017)
Instituto Brasileiro de Geografia e Estatística - IBGE: Alterações topomínicas (2022). https://www.ibge.gov.br/geociencias/organizacao-do-territorio/estrutura-territorial/27336-alteracoes-toponimicas-municipais.html
Möller, M.L., Klettke, M., Hillenbrand, A., Störl, U.: Query rewriting for continuously evolving NoSQL databases. In: International Conference on Conceptual Modeling, pp. 213–221. ER 2019 (2019)
Moon, H.J., Curino, C.A., Deutsch, A., Hou, C.Y., Zaniolo, C.: Managing and querying transaction-time databases under schema evolution. Proc. VLDB Endowment 1(1), 882–895 (2008)
Tansel, A.U., Clifford, J., Gadia, S., Jajodia, S., Segev, A., Snodgrass, R.: Temporal databases: theory, design, and implementation. Benjamin-Cummings Publishing Co., Inc. (1993)
Ventrone, V.: Semantic heterogeneity as a result of domain evolution. ACM SIGMOD Rec. 20(4), 16–20 (1991)
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Nepomuceno, P.I.S., Braghetto, K.R. (2023). Managing Semantic Evolutions in Semi-Structured Data. In: Strauss, C., Amagasa, T., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2023. Lecture Notes in Computer Science, vol 14146. Springer, Cham. https://doi.org/10.1007/978-3-031-39847-6_12
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