{"title":"Intent-based approaches for industry 4.0 applications: A systematic mapping study","authors":"Kaoutar Sadouki, Elena Kornyshova","doi":"10.1016/j.iot.2025.101629","DOIUrl":null,"url":null,"abstract":"<div><div>In the context of Industry 4.0, Intent-Based Approaches capture high-level industrial objectives, transforming them into executable tasks that align with digital workflows. An intent is defined as a desired outcome or business objective. Despite the growing importance of intent-based approaches, there is a lack of comprehensive understanding of their application to Industry 4.0. To address this, we conducted a systematic mapping study using a structured framework to examine existing intent-based approaches in the literature. Our study provides a comprehensive overview of current intent-based research in Industry 4.0 and reveals a growing interest in this field, especially in manufacturing, robotics, and networking. The study highlights the variety of intent structures, types, usage goals, and methods used. Intent-based approaches would bridge the gap between industrial goals and I4.0 components configuration, which play a key role in the digital transformation of smart industries. Our structured analysis framework and results provide essential understanding serving as a foundation for advancing intent-based approaches tailored to the needs of Industry 4.0 components.</div></div>","PeriodicalId":29968,"journal":{"name":"Internet of Things","volume":"32 ","pages":"Article 101629"},"PeriodicalIF":6.0000,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet of Things","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S254266052500143X","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
In the context of Industry 4.0, Intent-Based Approaches capture high-level industrial objectives, transforming them into executable tasks that align with digital workflows. An intent is defined as a desired outcome or business objective. Despite the growing importance of intent-based approaches, there is a lack of comprehensive understanding of their application to Industry 4.0. To address this, we conducted a systematic mapping study using a structured framework to examine existing intent-based approaches in the literature. Our study provides a comprehensive overview of current intent-based research in Industry 4.0 and reveals a growing interest in this field, especially in manufacturing, robotics, and networking. The study highlights the variety of intent structures, types, usage goals, and methods used. Intent-based approaches would bridge the gap between industrial goals and I4.0 components configuration, which play a key role in the digital transformation of smart industries. Our structured analysis framework and results provide essential understanding serving as a foundation for advancing intent-based approaches tailored to the needs of Industry 4.0 components.
期刊介绍:
Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT.
The journal will place a high priority on timely publication, and provide a home for high quality.
Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.