% % This file was created by the TYPO3 extension % bib % --- Timezone: CEST % Creation date: 2024-05-01 % Creation time: 23-16-26 % --- Number of references % 4 % @Inproceedings { 2024-kunze-civic, title = {In-Situ Model Validation for Continuous Processes Using In-Network Computing}, year = {2024}, month = {5}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2024/2024-kunze-civic.pdf}, booktitle = {Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS '24)}, state = {accepted}, reviewed = {1}, author = {Kunze, Ike and Scheurenberg, Dominik and Tirpitz, Liam and Geisler, Sandra and Wehrle, Klaus} } @Inproceedings { 2021-kunze-signal-detection, title = {Detecting Out-Of-Control Sensor Signals in Sheet Metal Forming using In-Network Computing}, year = {2021}, month = {6}, day = {10}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-kunze-signal-detection.pdf}, publisher = {IEEE}, booktitle = {Proceedings of the 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)}, ISBN = {978-1-7281-9023-5}, ISSN = {2163-5145}, DOI = {10.1109/ISIE45552.2021.9576221}, reviewed = {1}, author = {Kunze, Ike and Niemietz, Philipp and Tirpitz, Liam and Glebke, Ren{\'e} and Trauth, Daniel and Bergs, Thomas and Wehrle, Klaus} } @Inproceedings { 2021_gleim_factstack, title = {FactStack: Interoperable Data Management and Preservation for the Web and Industry 4.0}, year = {2021}, month = {5}, day = {31}, volume = {P-312}, pages = {371-395}, abstract = {Data exchange throughout the supply chain is essential for the agile and adaptive manufacturing processes of Industry 4.0. As companies employ numerous, frequently mutually incompatible data management and preservation approaches, interorganizational data sharing and reuse regularly requires human interaction and is thus associated with high overhead costs. An interoperable system, supporting the unified management, preservation and exchange of data across organizational boundaries is missing to date. We propose FactStack, a unified approach to data management and preservation based upon a novel combination of existing Web-standards and tightly integrated with the HTTP protocol itself. Based on the FactDAG model, FactStack guides and supports the full data lifecycle in a FAIR and interoperable manner, independent of individual software solutions and backward-compatible with existing resource oriented architectures. We describe our reference implementation of the approach and evaluate its performance, showcasing scalability even to high-throughput applications. We analyze the system's applicability to industry using a representative real-world use case in aircraft manufacturing based on principal requirements identified in prior work. We conclude that FactStack fulfills all requirements and provides a promising solution for the on-demand integration of persistence and provenance into existing resource-oriented architectures, facilitating data management and preservation for the agile and interorganizational manufacturing processes of Industry 4.0. Through its open source distribution, it is readily available for adoption by the community, paving the way for improved utility and usability of data management and preservation in digital manufacturing and supply chains.}, note = {Lecture Notes in Informatics (LNI), Volume P-312}, keywords = {Web Technologies; Data Management; Memento; Persistence; PID; Industry 4.0}, tags = {internet-of-production}, url = {https://comsys.rwth-aachen.de/fileadmin/papers/2021/2021-gleim-btw-iop-interoperability-realization.pdf}, publisher = {Gesellschaft f{\"u}r Informatik}, booktitle = {Proceedings of the 19th Symposium for Database Systems for Business, Technology and Web (BTW '21), September 13-17, 2021, Dresden, Germany}, event_place = {Dresden, Germany}, event_date = {September 13-17, 2021}, ISBN = {978-3-88579-705-0}, ISSN = {1617-5468}, DOI = {10.18420/btw2021-20}, reviewed = {1}, author = {Gleim, Lars and Pennekamp, Jan and Tirpitz, Liam and Welten, Sascha and Brillowski, Florian and Decker, Stefan} } @Inproceedings { 2020_gleim_factdag_provenance, title = {Expressing FactDAG Provenance with PROV-O}, year = {2020}, month = {11}, day = {1}, volume = {2821}, pages = {53-58}, abstract = {To foster data sharing and reuse across organizational boundaries, provenance tracking is of vital importance for the establishment of trust and accountability, especially in industrial applications, but often neglected due to associated overhead. The abstract FactDAG data interoperability model strives to address this challenge by simplifying the creation of provenance-linked knowledge graphs of revisioned (and thus immutable) resources. However, to date, it lacks a practical provenance implementation. In this work, we present a concrete alignment of all roles and relations in the FactDAG model to the W3C PROV provenance standard, allowing future software implementations to directly produce standard-compliant provenance information. Maintaining compatibility with existing PROV tooling, an implementation of this mapping will pave the way for practical FactDAG implementations and deployments, improving trust and accountability for Open Data through simplified provenance management.}, keywords = {Provenance; Data Lineage; Open Data; Semantic Web Technologies; Ontology Alignment; PROV; RDF; Industry 4.0; Internet of Production; IIoT}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-gleim-factdag-provenance.pdf}, publisher = {CEUR Workshop Proceedings}, booktitle = {Proceedings of the 6th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW '20), co-located with the 19th International Semantic Web Conference (ISWC '20), November 1-6, 2020, Athens, Greece,}, event_place = {Athens, Greece}, event_date = {November 1-6, 2020}, ISSN = {1613-0073}, reviewed = {1}, author = {Gleim, Lars and Tirpitz, Liam and Pennekamp, Jan and Decker, Stefan} }