Integrating industrial middleware in Linked Data collaboration networks
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Within the Semantic Web field, Linked Data is an emerging technology offering advantages in terms of flexibility and openness also for industrial environments. It provides a powerful information model with simple extension mechanisms and a cross-domain character, which makes it possible to span flexible information spaces across enterprise boundaries. Thus, it is able to represent all facets of a digital plant, like devices and processes. Although developed with the focus on static data, it is also capable of handling dynamic data if the latter is adapted appropriately. This article describes these requirements and presents a concept for integrating process data into the Linked Data information space. A separation between a semantic description of the access to process data and the service providing exactly this information allows efficient and integration-ready access to data. The necessary vocabulary is described as well as the information model. A prototypical implementation of OPC UA integration into Linked Data is presented. The article further discusses the current status of the approach and provides future research challenges.
Details
Original language | English |
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Title of host publication | 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (electronic) | 9781509013142 |
Publication status | Published - 3 Nov 2016 |
Peer-reviewed | Yes |
Publication series
Series | International Conference on Emerging Technologies and Factory Automation (ETFA) |
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Volume | 2016-November |
ISSN | 1946-0740 |
Conference
Title | 21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016 |
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Duration | 6 - 9 September 2016 |
City | Berlin |
Country | Germany |
External IDs
ORCID | /0000-0001-5165-4459/work/172571750 |
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Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Linked Data, OPC UA, Process Data Integration, REST service, semantic middleware, Virtual Factory