Semantic Web Technologies for Intelligent Engineering Applications

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This book explores the application of Semantic Web technologies (SWTs) in developing intelligent engineering applications (IEAs). It features technology-specific chapters that detail the current advancements in SWTs and provide guidelines for their use in multi-disciplinary engineering environments typical of production systems. Case studies from various engineering domains illustrate the practical applications of SWTs, such as defect detection and constraint checking. Part I discusses the background and requirements of Industrie 4.0, addressing semantic challenges and identifying key SWT capabilities for engineering applications. Part II focuses on data integration in diverse engineering settings, essential for creating flexible production systems. Part III demonstrates how integrated engineering data can facilitate the development of IEAs. Part IV presents emerging trends in the use of SWTs within engineering contexts. The concluding chapter assesses the strengths, weaknesses, and compatibilities of SWTs, offering insights into future opportunities for their application in flexible industrial production systems. This work aims to connect the industrial production and Semantic Web communities, providing valuable insights for researchers, engineers, and managers. It enhances understanding of the challenges in industrial production while guiding the development and adoption of SWTs, making it a useful resource for stakehold