A review and classification of manufacturing ontologies

IF 5.9 2区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent Manufacturing Pub Date : 2024-06-18 DOI:10.1007/s10845-024-02425-z
Patrick Sapel, Lina Molinas Comet, Iraklis Dimitriadis, Christian Hopmann, Stefan Decker
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Abstract

One core concept of Industry 4.0 is establishing highly autonomous manufacturing environments. In the vision of Industry 4.0, the product leads its way autonomously through the shopfloor by communicating with the production assets. Therefore, a common vocabulary and an understanding of the domain’s structure are mandatory, so foundations in the form of knowledge bases that enable autonomous communication have to be present. Here, ontologies are applicable since they define all assets, their properties, and their interconnection of a specific domain in a standardized manner. Reusing and enlarging existing ontologies instead of building new ontologies facilitates cross-domain and cross-company communication. However, the demand for reusing or enlarging existing ontologies of the manufacturing domain is challenging as no comprehensive review of present manufacturing domain ontologies is available. In this contribution, we provide a holistic review of 65 manufacturing ontologies and their classification into different categories. Based on the results, we introduce a priority guideline and a framework to support engineers in finding and reusing existent ontologies of a specific subdomain in manufacturing. Furthermore, we present 16 supporting ontologies to be considered in the ontology development process and eight catalogs that contain ontologies and vocabulary services.

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制造业本体的回顾与分类
工业 4.0 的一个核心理念是建立高度自主的生产环境。在工业 4.0 的愿景中,产品通过与生产资产进行通信,在车间内自主运行。因此,必须要有共同的词汇和对领域结构的理解,所以必须要有能够实现自主通信的知识库形式的基础。在这里,本体论是适用的,因为本体论以标准化的方式定义了特定领域的所有资产、资产属性及其相互联系。重用和扩充现有的本体而不是建立新的本体,有利于跨领域和跨公司的交流。然而,重用或扩充现有制造领域本体的需求具有挑战性,因为目前还没有对现有制造领域本体的全面回顾。在本文中,我们对 65 个制造业本体进行了全面回顾,并将其分为不同类别。根据审查结果,我们提出了一个优先指南和一个框架,以支持工程师查找和重用制造业特定子领域的现有本体。此外,我们还介绍了在本体开发过程中需要考虑的 16 个辅助本体,以及包含本体和词汇服务的 8 个目录。
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来源期刊
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing 工程技术-工程:制造
CiteScore
19.30
自引率
9.60%
发文量
171
审稿时长
5.2 months
期刊介绍: The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.
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