Towards Web-based Autonomous Industrial Systems
Type
conference contribution
Date Issued
2025-10-25
Author(s)
Abstract
Industrial infrastructures employ control systems to manage their complex electro-mechanical installations in a safe and energy-efficient way. Semantic Web technologies have been utilized to create machine-understandable descriptions of requirements, technical design, and fundamental domain knowledge, yielding promising results in enabling the automated engineering of controls and, more broadly, in the development of autonomous systems. Concurrently, industrial automation systems are increasingly adopting the Web architecture. In this article, we first report on our experience gathered over the past decade at Siemens AG in bringing the fragmented Semantic Webbased ontologies in engineering towards creating holistic system knowledge of smart infrastructures. Then, based on our practical experience, we share that the role of Semantic Web technologies goes beyond enabling automated engineering and highlight its potential to create knowledge-infused web-based autonomous systems. However, we note that the potential is currently under-exploited in the context of evolution in industrial automation systems, where classical closed architectures are giving way to large-scale web-based deployments. We then describe our ongoing research to address this dissonance by adopting hypermedia multi-agent systems as an architectural paradigm in industrial automation.
Language
English (United States)
Keywords
industrial automation
web-based autonomous systems
semantic web
Refereed
Yes
Book title
Proceedings of the Second International Workshop on Hypermedia Multi-Agent Systems
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
open.access
Name
short6.pdf
Size
1.44 MB
Format
Adobe PDF
Checksum (MD5)
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