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Towards Smart Data Sharing by Updatable Views

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Software Foundations for Data Interoperability and Large Scale Graph Data Analytics (SFDI 2020, LSGDA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1281))

Abstract

We consider a problem of collaborative data sharing among multiple peers through updatable views each of which provided with the use of the bidirectional transformation in the peer.

We propose a novel framework Smart Data Sharing for developing versatile data integration systems based on collaborative data sharing.

This work was partly supported by JSPS Kakenhi 17H06099 and 18H04093.

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Notes

  1. 1.

    We do not say anything about the operation associated with the type and use \(\subseteq \) instead of \(<:\) for the type hierarchy.

  2. 2.

    We follow the notation of Haskell here for conciseness.

References

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Author information

Authors and Affiliations

  1. Osaka University, Osaka, Japan

    Makoto Onizuka

  2. Nanzan University, Nagoya, Japan

    Yasunori Ishihara

  3. University of Tokyo, Tokyo, Japan

    Masato Takeichi

Authors
  1. Makoto Onizuka
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  2. Yasunori Ishihara
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  3. Masato Takeichi
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Corresponding author

Correspondence to Makoto Onizuka .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Lu Qin

  2. The University of New South Wales, Sydney, NSW, Australia

    Wenjie Zhang

  3. University of Technology Sydney, Sydney, NSW, Australia

    Ying Zhang

  4. The University of New South Wales, Sydney, NSW, Australia

    You Peng

  5. National Institute of Informatics, Tokyo, Japan

    Hiroyuki Kato

  6. The University of New South Wales, Sydney, NSW, Australia

    Wei Wang

  7. Osaka University, Osaka, Japan

    Chuan Xiao

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Onizuka, M., Ishihara, Y., Takeichi, M. (2020). Towards Smart Data Sharing by Updatable Views. In: Qin, L., et al. Software Foundations for Data Interoperability and Large Scale Graph Data Analytics. SFDI LSGDA 2020 2020. Communications in Computer and Information Science, vol 1281. Springer, Cham. https://doi.org/10.1007/978-3-030-61133-0_13

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  • DOI: https://doi.org/10.1007/978-3-030-61133-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61132-3

  • Online ISBN: 978-3-030-61133-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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