1 |
Abdelhedi, F., Brahim, A. A., Rajhi, H., Ferhat, R. T., and Zurfluh, G. (2021). Automatic extraction of a document-oriented nosql schema. In ICEIS (1), pages 192–199.
|
|
2 |
Baazizi, M.-A., Colazzo, D., Ghelli, G., and Sartiani, C. (2019). Parametric schema inference for massive JSON datasets. The VLDB Journal, 28:497–521.
|
|
3 |
Bouchou, B. and Duarte, D. (2007). Assisting XML schema evolution that preserve validity. In Brazilian Database Symposium, pages 270–284.
|
|
4 |
Bourhis, P., Reutter, J. L., Suárez, F., and Vrgoc, D. (2017). JSON: data model, query languages and schema specification. In Proceedings of the 36th ACM SIGMOD-SIGACT.
|
|
5 |
Cánovas Izquierdo, J. L. and Cabot, J. (2013). Discovering implicit schemas in json data. In Web Engineering: 13th International Conference, ICWE 2013, Aalborg, Denmark, July 8-12, 2013. Proceedings 13, pages 68–83. Springer.
|
|
6 |
Frozza, A. A., dos Santos Mello, R., and da Costa, F. d. S. (2018). An approach for schema extraction of JSON and extended JSON document collections. In IRI. IEEE.
|
|
7 |
Klessinger, S., Klettke, M., Störl, U., and Scherzinger, S. (2023). Extracting JSON schemas with tagged unions. arXiv preprint arXiv:2306.07085.
|
|
8 |
Maiwald, B., Riedle, B., and Scherzinger, S. (2019). What are real json schemas like? In International Conference on Conceptual Modeling, pages 95–105. Springer.
|
|
9 |
Namba, J. (2021). Enhancing JSON schema discovery by uncovering hidden data. In VLDB 2021 PhD Workshop.
|
|
10 |
Peng, D., Cao, L., and Xu, W. (2011). Using json for data exchanging in web service applications. Journal of Computational Information Systems, 7(16):5883–5890.
|
|
11 |
Pezoa, F., Reutter, J. L., Suarez, F., Ugarte, M., and Vrgoc, D. (2016). Foundations of json schema. In International World Wide Web Conferences, WWW ’16.
|
|
12 |
Spoth, W., Kennedy, O., Lu, Y., Hammerschmidt, B., and Liu, Z. H. (2021). Reducing ambiguity in JSON schema discovery. In Proceedings of the 2021 SIGMOD.
|
|