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EvsJSON: An Efficient Validator for Split JSON Documents

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Database Systems for Advanced Applications (DASFAA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12114))

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Abstract

JSON is one of the most popular formats for publishing and exchanging data. In real application scenarios, due to the limitation in field length of data before storing in the database, a JSON document may be split into multiple documents if it is too long. In such case, the validation of the integrity and accuracy of documents is needed. However, this cannot be solved by existing methods. In this paper, we proposed a novel method to validate JSON documents characterized by being able to deal with split documents. Experiments demonstrated that the proposed method is efficient in validating large-scale JSON documents and performed better than the methods compared.

This work was supported in part by the Guangdong Province Key Area R&D Program (2019B010940001), and the National Natural Science Foundation of China (61572332, 61972268).

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Notes

  1. 1.

    https://github.com/yipersevere/text-sentiment-classification-with-deep-neural-networks.

References

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Author information

Authors and Affiliations

  1. School of Computer Science, Sichuan University, Chengdu, China

    Bangjun He, Jie Zuo, Guicai Xie, Ruiqi Qin, Zihao Chen & Lei Duan

  2. Dongguan Meteorological Bureau, Dongguan, China

    Qiaoyan Feng

Authors
  1. Bangjun He
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  2. Jie Zuo
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  3. Qiaoyan Feng
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  4. Guicai Xie
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  5. Ruiqi Qin
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  6. Zihao Chen
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  7. Lei Duan
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Corresponding author

Correspondence to Qiaoyan Feng .

Editor information

Editors and Affiliations

  1. Dankook University, Yongin, Korea (Republic of)

    Yunmook Nah

  2. Peking University, Haidian, China

    Bin Cui

  3. Sungkyunkwan University, Suwon, Korea (Republic of)

    Sang-Won Lee

  4. Department of Systems Engineering and En, The Chinese University of Hong Kong, Hong Kong, Hong Kong

    Jeffrey Xu Yu

  5. Kangwon National University, Chunchon, Korea (Republic of)

    Yang-Sae Moon

  6. Korea Advanced Institute of Science and, Daejeon, Korea (Republic of)

    Steven Euijong Whang

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Cite this paper

He, B. et al. (2020). EvsJSON: An Efficient Validator for Split JSON Documents. In: Nah, Y., Cui, B., Lee, SW., Yu, J.X., Moon, YS., Whang, S.E. (eds) Database Systems for Advanced Applications. DASFAA 2020. Lecture Notes in Computer Science(), vol 12114. Springer, Cham. https://doi.org/10.1007/978-3-030-59419-0_55

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  • DOI: https://doi.org/10.1007/978-3-030-59419-0_55

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59418-3

  • Online ISBN: 978-3-030-59419-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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