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Capturing Data-inherent Dependencies in JSON Schema Extraction

Published: 05 June 2023 Publication History
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Short presentation video for the extended abstract entitled "Capturing Data-inherent Dependencies in JSON Schema Extraction" and submitted to the SIGMOD 2023 Student Research Competition. The video covers underlying works and proposed extensions, including preliminary experiments.

References

[1]
Mohamed Amine Baazizi, Dario Colazzo, Giorgio Ghelli, and Carlo Sartiani. 2019. Parametric schema inference for massive JSON datasets. VLDB J., Vol. 28, 4, 497--521.
[2]
Mohamed Amine Baazizi, Dario Colazzo, Giorgio Ghelli, Carlo Sartiani, and Stefanie Scherzinger. 2021. An Empirical Study on the "Usage of Not" in Real-World JSON Schema Documents. In Proc. ER. 102--112.
[3]
Philip Bohannon, Wenfei Fan, Floris Geerts, Xibei Jia, and Anastasios Kementsietsidis. 2007. Conditional Functional Dependencies for Data Cleaning. In Proc. ICDE. 746--755.
[4]
Pierre Bourhis, Juan L. Reutter, Fernando Suá rez, and Domagoj Vrgoc. 2017. JSON: Data model, Query languages and Schema specification. In Proc. PODS. 123--135.
[5]
Loreto Bravo, Wenfei Fan, Floris Geerts, and Shuai Ma. 2008. Increasing the Expressivity of Conditional Functional Dependencies without Extra Complexity. In Proc. ICDE. 516--525.
[6]
Pavel Contos and Martin Svoboda. 2020. JSON Schema Inference Approaches. In Proc. ER (Workshops). 173--183.
[7]
Yuefeng Du, Derong Shen, Tiezheng Nie, Yue Kou, and Ge Yu. 2017. Discovering context-aware conditional functional dependencies. Frontiers Comput. Sci., Vol. 11, 4 (2017), 688--701.
[8]
Wenfei Fan and Floris Geerts. 2012. Foundations of Data Quality Management. Morgan & Claypool Publishers.
[9]
Angelo Augusto Frozza, Ronaldo dos Santos Mello, and Felipe de Souza da Costa. 2018. An Approach for Schema Extraction of JSON and Extended JSON Document Collections. In Proc. IRI. 356--363.
[10]
Stefan Klessinger, Meike Klettke, Uta Störl, and Stefanie Scherzinger. 2022. Extracting JSON Schemas with Tagged Unions. In Proc. DEco@VLDB.
[11]
Meike Klettke, Uta Stö rl, and Stefanie Scherzinger. 2015. Schema Extraction and Structural Outlier Detection for JSON-based NoSQL Data Stores. In Proc. BTW, Vol. P-241. GI, 425--444.
[12]
Felipe Pezoa, Juan L. Reutter, Fernando Suá rez, Mart'i n Ugarte, and Domagoj Vrgoc. 2016. Foundations of JSON Schema. In Proc. WWW. 263--273.
[13]
Diego Sevilla Ruiz, Severino Feliciano Morales, and Jesú s Garc'i a Molina. 2015. Inferring Versioned Schemas from NoSQL Databases and Its Applications. In Proc. ER. 467--480.
[14]
William Spoth, Oliver Kennedy, Ying Lu, Beda Christoph Hammerschmidt, and Zhen Hua Liu. 2021. Reducing Ambiguity in JSON Schema Discovery. In Proc. SIGMOD. 1732--1744.
[15]
Ivan Veinhardt Latták. and Pavel Koupil. 2022. A Comparative Analysis of JSON Schema Inference Algorithms. In Proc. ENASE. 379--386. io

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cover image ACM Conferences
SIGMOD '23: Companion of the 2023 International Conference on Management of Data
June 2023
330 pages
ISBN:9781450395076
DOI:10.1145/3555041
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 05 June 2023

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  1. json
  2. json schema
  3. schema extraction

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Short presentation video for the extended abstract entitled "Capturing Data-inherent Dependencies in JSON Schema Extraction" and submitted to the SIGMOD 2023 Student Research Competition. The video covers underlying works and proposed extensions, including preliminary experiments. https://dl.acm.org/doi/10.1145/3555041.3589396#SIGMOD23-modug0011.mp4

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