Abstract
One of the most important aspects of applying distributed ledger technologies in the field of big data is ensuring the necessary data quality and calculating the corresponding metrics. The paper proposes a conceptual framework for working with Master Data in a decentralized environment. The greatest effect of this framework methods is increasing a real-time integrity for the data segments that have the direct impact on overall data quality. The proposed approach provides the result thanks to a special platform architecture similar to the blockchain and built-in artificial intelligence agents - oracles.
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Bogdanov, A., Degtyarev, A., Shchegoleva, N., Khvatov, V. (2020). Data Quality in a Decentralized Environment. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12251. Springer, Cham. https://doi.org/10.1007/978-3-030-58808-3_6
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DOI: https://doi.org/10.1007/978-3-030-58808-3_6
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