Toward an ontology-driven blockchain design for supply-chain provenance

Q1 Economics, Econometrics and Finance

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-03-28 DOI:10.1002/isaf.1424

Henry M. Kim, Marek Laskowski

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引用次数: 557

Abstract

An interesting research problem in our age of Big Data is that of determining provenance. Granular evaluation of provenance of physical goods (e.g., tracking ingredients of a pharmaceutical or demonstrating authenticity of luxury goods) has often not been possible with today's items that are produced and transported in complex, interorganizational, often internationally spanning supply chains. Recent adoptions of the Internet of Things and blockchain technologies give promise at better supply-chain provenance. We are particularly interested in the blockchain, as many favored use cases of blockchain are for provenance tracking. We are also interested in applying ontologies, as there has been some work done on knowledge provenance, traceability, and food provenance using ontologies. In this paper, we make a case for why ontologies can contribute to blockchain design. To support this case, we analyze a traceability ontology and translate some of its representations to smart contracts that execute a provenance trace and enforce traceability constraints on the Ethereum blockchain platform.

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面向供应链来源的本体驱动的区块链设计

在我们这个大数据时代，一个有趣的研究问题是确定来源。对于今天在复杂的、跨组织的、通常跨越国际的供应链中生产和运输的物品来说，对实物商品的来源进行细致的评估(例如，跟踪药品的成分或证明奢侈品的真实性)往往是不可能的。最近采用的物联网和区块链技术为更好的供应链来源提供了希望。我们对区块链特别感兴趣，因为区块链的许多受欢迎的用例是用于来源跟踪。我们对应用本体论也很感兴趣，因为已经有一些关于知识来源、可追溯性和使用本体论的食物来源的工作。在本文中，我们将说明为什么本体可以为区块链设计做出贡献。为了支持这种情况，我们分析了一个可追溯性本体，并将其一些表示转换为智能合约，执行来源跟踪并在以太坊区块链平台上执行可追溯性约束。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance

CiteScore

6.00

自引率

0.00%

发文量

期刊介绍： Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.