By design, distributed ledger technologies persist low-level data which makes conducting complex business analysis of the recorded operations challenging. Existing blockchain visualization and analytics tools such as block explorers tend to rely on this low-level data and complex interfacing to provide enriched level of analytics. The ability to derive richer analytics could be improved through the availability of a higher level abstraction of the data. This article proposes an abstraction layer architecture that enables the design of high-level analytics of distributed ledger systems and the decentralized applications that run on top. Based on the analysis of existing initiatives and identification of the relevant user requirements, this work aims to establish key insights and specifications to improve the auditability and intuitiveness of distributed ledger systems by leveraging the development of future user interfaces. To illustrate the benefits offered by the proposed abstraction layer architecture, a regulated sector use case is explored.

中文翻译：

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在分布式分类帐系统中抽象数据以进行更高级别的分析和可视化

通过设计，分布式分类帐技术可保留低级数据，这使得对已记录的操作进行复杂的业务分析具有挑战性。现有的区块链可视化和分析工具（例如区块浏览器）往往依赖于这些低级数据和复杂的接口来提供丰富的分析水平。可以通过使用更高级别的数据抽象来提高导出更丰富的分析的能力。本文提出了一种抽象层体系结构，该体系结构可设计分布式账本系统和在顶部运行的分散式应用程序的高级分析。基于对现有计划的分析并确定相关的用户需求，这项工作旨在通过利用未来用户界面的开发来建立关键的见解和规范，以提高分布式分类帐系统的可审计性和直观性。为了说明所提出的抽象层体系结构所提供的好处，探讨了受管制的部门用例。