Cluster of Excellence Internet of Production
As the basis for the transfer of Aachen production technology into the age of the fourth industrial revolution, the next important milestone for the further creation of application-oriented and innovative solutions in the field of production technology is now on the agenda of the new Cluster. The IoP offers real-time, secure information availability of all relevant data at any time, at any place and is regarded as the core of industry 4.0. In this way, the IoP paves the way for a new era of production.
Research staff
- Arnab Chakrabarti, M.Sc.
- Lars Gleim, M. Sc.
- Prof. Dr. Matthias Jarke
- Dr. István Koren
- Stefan Braun, M. Sc. RWTH
Job openings
Theses
- Best Practice Sharing in Production Networks (Open)
- Dynamic Visual Analytics Pipeline Processing With WebAssembly (Open)
- Model-Based View Extraction With GraphQL (Open)
- Predictive Modelling for High Pressure Die Casting Processes Using High Dimensional Feature Selection (Open)
- A Neural Network Model for Visualization Recommendation System (Running)
- A Peer-to-Peer Service Framework With WebAssembly (Running)
- A Visualization Recommendation Tool for Production Systems (Running)
- A Web-Based Best Practice Exchange Platform for the Shop Floor (Running)
- An Extensible Web Interface for Linked Data Platform Servers (Running)
- Authenticity, Integrity and Trust for Data Reuse in Resource Oriented Architectures (Running)
- Automatic Provenance Generation for Serverless Computing (Running)
- Autonomous Planning of Industrial Processes for the Internet of Production (Running)
- Celsius or Fahrenheit? Extracting Ontologies from OPC UA for a Plastic Processing Use-Case (Running)
- Datenstromverarbeitung an der Industriemaschine mit WebAssembly – Data Stream Processing on the Edge With WebAssembly (Running)
- Development of a WebApp for the User-friendly Tracking of Manufacturing Processes (Running)
- Integrating Semantic Web Concepts Into an RPC Framework (Running)
- LD-FUSE: A Filesystem in Userspace for the Linked Data Platform (Running)
- Messung der Oberflächenqualität von Vliesflor mittels Feature Extraction (Running)
- Personalizing the User Interface of Requirements Bazaar (2020)
- Automated Semantic Data Labeling using Deep Learning (2019)
- Feature Clustering and Visualization of High Dimensional Data using Clique Cover Theory (2019)
- A Distributed Data Revisioning System for the Internet of Production ()
- Automatic HyperGraphQL Bootstrapping for Triplestores ()
Publications
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FactStack: Interoperable Data Management and Preservation for the Web and Industry 4.0
Lars Gleim, Jan Pennekamp, Liam Tirpitz, Sascha Welten, Florian Brillowski, Stefan Decker
Published in Proceedings of the 19th Symposium for Database Systems for Business, Technology and Web
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A Visualization System for High Dimensional Data Streams using Complex Event Processing
Arnab Chakrabarti, Tanuj Kulshrestha, Christoph Quix
Published in Information Visualization of Geospatial Networks, Flows and Movement(MoVIS2020) held in conjugation with IEEE VIS2020
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Timestamped URLs as Persistent Identifiers
Published in Proceedings of the 6th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW 2020) at ISWC'20, November 2-3 2020
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Expressing FactDAG Provenance with PROV-O
Lars Gleim, Liam Tirpitz, Jan Pennekamp, Stefan Decker
Published in Proceedings of the 6th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW 2020) at ISWC'20, November 2-3 2020
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Open Challenges for the Management and Preservation of Evolving Data on the Web
Published in Proceedings of the 6th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW 2020) at ISWC'20, November 2-3 2020
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Towards Reusability in the Semantic Web: Decoupling Identifiers, Structure, and Reasoning
Published in Proceedings of the 11th Workshop on Ontology Design and Patterns (WOP 2020) at ISWC'20, November 2-3 2020
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FactDAG: Formalizing Data Interoperability in an Internet of Production
Lars Gleim, Jan Pennekamp, Martin Liebenberg, Melanie Buchsbaum, Philipp Niemietz, Simon Knape, Alexander Epple, Simon Storms, Daniel Trauth, Thomas Bergs, Christian Brecher, Stefan Decker, Gerhard Lakemeyer, Klaus Wehrle
Published in IEEE Internet of Things Journal
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Poster: FactStack - Interoperable Data Management and Preservation for the Web and Industry 4.0
Published in RDA 16th Plenary Meeting - Poster Sessions
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Automatic Bootstrapping of GraphQL Endpoints for RDF Triple Stores
Lars Gleim, Tim Holzheim, István Koren, Stefan Decker
Published in Proceedings of the 4th Workshop on Storing, Querying, and Benchmarking the Web of Data (QuWeDa 2020) at ISWC'20, November 2-3 2020
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Towards an Infrastructure Enabling the Internet of Production
Jan Pennekamp, René Glebke, Tobias Meisen, Christoph Quix, Rihan Hai, Lars Gleim, Philipp Niemietz, Maximilian Rudack, Simon Knape, Alexander Epple, Daniel Trauth, Uwe Vroomen, Thomas Bergs, Christian Brecher, Andreas Buhrig-Polaczek, Matthias Jarke, Klaus Wehrle
Published in Proceedings of the 2nd IEEE International Conference on Industrial Cyber-Physical Systems (ICPS '19), May 6-9, 2019, Taipei, TW , page 31-37. Publisher: IEEE, May 2019
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Security Considerations for Collaborations in an Industrial IoT-based Lab of Labs
Jan Pennekamp, Markus Dahlmanns, Lars Gleim, Stefan Decker, Klaus Wehrle
Published in Proceedings of the 3rd IEEE Global Conference on Internet of Things (GCIoT '19), December 4–7, 2019, Dubai, United Arab Emirates Publisher: IEEE, December 2019
