Data sharing in agricultural supply chains: Using semantics to enable sustainable food systems

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Semantic Web Pub Date : 2023-05-25 DOI:10.3233/sw-233287

C. Brewster, N. Kalatzis, B. Nouwt, Han Kruiger, J. Verhoosel

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引用次数: 0

Abstract

The agrifood system faces a great many economic, social and environmental challenges. One of the biggest practical challenges has been to achieve greater data sharing throughout the agrifood system and the supply chain, both to inform other stakeholders about a product and equally to incentivise greater environmental sustainability. In this paper, a data sharing architecture is described built on three principles (a) reuse of existing semantic standards; (b) integration with legacy systems; and (c) a distributed architecture where stakeholders control access to their own data. The system has been developed based on the requirements of commercial users and is designed to allow queries across a federated network of agrifood stakeholders. The Ploutos semantic model is built on an integration of existing ontologies. The Ploutos architecture is built on a discovery directory and interoperability enablers, which use graph query patterns to traverse the network and collect the requisite data to be shared. The system is exemplified in the context of a pilot involving commercial stakeholders in the processed fruit sector. The data sharing approach is highly extensible with considerable potential for capturing sustainability related data.

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农业供应链中的数据共享:利用语义实现可持续粮食系统

农业粮食系统面临着许多经济、社会和环境方面的挑战。最大的实际挑战之一是在整个农业食品系统和供应链中实现更大的数据共享，既要告知其他利益相关者有关产品的信息，也要激励更大的环境可持续性。本文描述了基于三个原则的数据共享体系结构:(a)重用现有的语义标准;(b)与遗留系统结合;(c)分布式架构，利益相关者可以控制对自己数据的访问。该系统是根据商业用户的需求开发的，旨在允许跨农业食品利益相关者的联合网络进行查询。Ploutos语义模型建立在现有本体的集成上。Ploutos体系结构建立在发现目录和互操作性支持程序之上，这些支持程序使用图形查询模式遍历网络并收集要共享的必要数据。该系统在涉及加工水果部门商业利益攸关方的试点中得到例证。数据共享方法具有高度可扩展性，在获取与可持续性有关的数据方面具有相当大的潜力。

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

Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

8.30

自引率

6.70%

发文量

期刊介绍： The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.