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The Conceptual Schema of Ethereum

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Conceptual Modeling (ER 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12400))

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Abstract

There is an abundant literature on Ethereum, but as far as we know what is missing is its explicit conceptual schema. We present here the conceptual schema of Ethereum in UML. The schema should be useful to those that want to understand Ethereum and to those that develop the schema of Ethereum-based DApps. We present a few population constraints, and show that they suffice for the specification at the conceptual level of what is understood by immutability of a blockchain. We also show that the well-known reification construct and an initial constraint suffice to specify at the conceptual level that the Ethereum blockchain stores the full state history.

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Notes

  1. 1.

    See [23] for the first-order logic formalization of the constraints and examples.

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Acknowledgments

The author is greatly indebted to Joan Antoni Pastor and Jordi Estapé for their comments to earlier drafts of this paper.

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Authors and Affiliations

  1. Department of Service and Information System Engineering, Universitat Politècnica de Catalunya – Barcelona Tech, Barcelona, Catalonia, Spain

    Antoni Olivé

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  1. Antoni Olivé
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Correspondence to Antoni Olivé .

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Editors and Affiliations

  1. University of Auckland, Auckland, New Zealand

    Gillian Dobbie

  2. University of Duisburg-Essen, Essen, Germany

    Ulrich Frank

  3. TU Wien, Vienna, Austria

    Gerti Kappel

  4. Brigham Young University, Provo, UT, USA

    Stephen W. Liddle

  5. University of Klagenfurt, Klagenfurt am Wörthersee, Austria

    Heinrich C. Mayr

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Olivé, A. (2020). The Conceptual Schema of Ethereum. In: Dobbie, G., Frank, U., Kappel, G., Liddle, S.W., Mayr, H.C. (eds) Conceptual Modeling. ER 2020. Lecture Notes in Computer Science(), vol 12400. Springer, Cham. https://doi.org/10.1007/978-3-030-62522-1_31

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  • DOI: https://doi.org/10.1007/978-3-030-62522-1_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62521-4

  • Online ISBN: 978-3-030-62522-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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