{"title":"基于本体的复杂产品维护设计知识再利用方法","authors":"Ziyue Guo , Dong Zhou , Dequan Yu , Qidi Zhou , Hongduo Wu , Aimin Hao","doi":"10.1016/j.compind.2024.104124","DOIUrl":null,"url":null,"abstract":"<div><p>In the context of the Fourth Industrial Revolution, a large amount of heterogeneous data and information is generated during the lifecycle of complex products, which poses a considerable challenge for manufacturers and effective knowledge integration. It has been challenging for traditional experience-based design methods to meet the diverse needs of customers and maintain competitiveness in fierce global markets. Capturing, formalizing and reusing multidisciplinary knowledge that is scattered among different departments and stages to help make effective decisions has been a crucial way for digital enterprises to improve manufacturing efficiency. Design for maintenance is typical work requiring cross-domain knowledge and involving stakeholder collaboration. This paper presents a structured domain-specific ontology and its development method, namely, the Maintainability Design Ontology for Complex prOducts (MDOCO), to formalize heterogeneous knowledge and improve semantic interoperability in the maintainability design area. The MDOCO has a rigorous semantic structure and complies with well-designed top-level and middle ontologies such as the Basic Formal Ontology and the Industrial Ontology Foundry (IOF) Core Ontology to ensure semantic interoperability. A set of reasoning rules is carefully designed to enable the MDOCO to perform knowledge reasoning. In a practical case, the effectiveness of the MDOCO is validated at both the semantic and application levels. The MDOCO combines recent methodology and best practices, enabling the well-structured modeling of heterogeneous knowledge and good semantic interoperability.</p></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"161 ","pages":"Article 104124"},"PeriodicalIF":8.2000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An ontology-based method for knowledge reuse in the design for maintenance of complex products\",\"authors\":\"Ziyue Guo , Dong Zhou , Dequan Yu , Qidi Zhou , Hongduo Wu , Aimin Hao\",\"doi\":\"10.1016/j.compind.2024.104124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In the context of the Fourth Industrial Revolution, a large amount of heterogeneous data and information is generated during the lifecycle of complex products, which poses a considerable challenge for manufacturers and effective knowledge integration. It has been challenging for traditional experience-based design methods to meet the diverse needs of customers and maintain competitiveness in fierce global markets. Capturing, formalizing and reusing multidisciplinary knowledge that is scattered among different departments and stages to help make effective decisions has been a crucial way for digital enterprises to improve manufacturing efficiency. Design for maintenance is typical work requiring cross-domain knowledge and involving stakeholder collaboration. This paper presents a structured domain-specific ontology and its development method, namely, the Maintainability Design Ontology for Complex prOducts (MDOCO), to formalize heterogeneous knowledge and improve semantic interoperability in the maintainability design area. The MDOCO has a rigorous semantic structure and complies with well-designed top-level and middle ontologies such as the Basic Formal Ontology and the Industrial Ontology Foundry (IOF) Core Ontology to ensure semantic interoperability. A set of reasoning rules is carefully designed to enable the MDOCO to perform knowledge reasoning. In a practical case, the effectiveness of the MDOCO is validated at both the semantic and application levels. The MDOCO combines recent methodology and best practices, enabling the well-structured modeling of heterogeneous knowledge and good semantic interoperability.</p></div>\",\"PeriodicalId\":55219,\"journal\":{\"name\":\"Computers in Industry\",\"volume\":\"161 \",\"pages\":\"Article 104124\"},\"PeriodicalIF\":8.2000,\"publicationDate\":\"2024-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in Industry\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0166361524000526\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Industry","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0166361524000526","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
An ontology-based method for knowledge reuse in the design for maintenance of complex products
In the context of the Fourth Industrial Revolution, a large amount of heterogeneous data and information is generated during the lifecycle of complex products, which poses a considerable challenge for manufacturers and effective knowledge integration. It has been challenging for traditional experience-based design methods to meet the diverse needs of customers and maintain competitiveness in fierce global markets. Capturing, formalizing and reusing multidisciplinary knowledge that is scattered among different departments and stages to help make effective decisions has been a crucial way for digital enterprises to improve manufacturing efficiency. Design for maintenance is typical work requiring cross-domain knowledge and involving stakeholder collaboration. This paper presents a structured domain-specific ontology and its development method, namely, the Maintainability Design Ontology for Complex prOducts (MDOCO), to formalize heterogeneous knowledge and improve semantic interoperability in the maintainability design area. The MDOCO has a rigorous semantic structure and complies with well-designed top-level and middle ontologies such as the Basic Formal Ontology and the Industrial Ontology Foundry (IOF) Core Ontology to ensure semantic interoperability. A set of reasoning rules is carefully designed to enable the MDOCO to perform knowledge reasoning. In a practical case, the effectiveness of the MDOCO is validated at both the semantic and application levels. The MDOCO combines recent methodology and best practices, enabling the well-structured modeling of heterogeneous knowledge and good semantic interoperability.
期刊介绍:
The objective of Computers in Industry is to present original, high-quality, application-oriented research papers that:
• Illuminate emerging trends and possibilities in the utilization of Information and Communication Technology in industry;
• Establish connections or integrations across various technology domains within the expansive realm of computer applications for industry;
• Foster connections or integrations across diverse application areas of ICT in industry.