This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-20 Creation time: 11-19-40 --- Number of references 4 inproceedings 2024-kunze-civic 2024 5 internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2024/2024-kunze-civic.pdf Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS '24) accepted 1 IkeKunze DominikScheurenberg LiamTirpitz SandraGeisler KlausWehrle inproceedings 2021-kunze-signal-detection 2021 6 10 internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-kunze-signal-detection.pdf IEEE Proceedings of the 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) 978-1-7281-9023-5 2163-5145 10.1109/ISIE45552.2021.9576221 1 IkeKunze PhilippNiemietz LiamTirpitz RenéGlebke DanielTrauth ThomasBergs KlausWehrle inproceedings 2021_gleim_factstack 2021 5 31 P-312 371-395 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. Lecture Notes in Informatics (LNI), Volume P-312 Web Technologies; Data Management; Memento; Persistence; PID; Industry 4.0 internet-of-production https://comsys.rwth-aachen.de/fileadmin/papers/2021/2021-gleim-btw-iop-interoperability-realization.pdf Gesellschaft für Informatik Proceedings of the 19th Symposium for Database Systems for Business, Technology and Web (BTW '21), September 13-17, 2021, Dresden, Germany Dresden, Germany September 13-17, 2021 978-3-88579-705-0 1617-5468 10.18420/btw2021-20 1 LarsGleim JanPennekamp LiamTirpitz SaschaWelten FlorianBrillowski StefanDecker inproceedings 2020_gleim_factdag_provenance 2020 11 1 2821 53-58 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. Provenance; Data Lineage; Open Data; Semantic Web Technologies; Ontology Alignment; PROV; RDF; Industry 4.0; Internet of Production; IIoT internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-gleim-factdag-provenance.pdf CEUR Workshop Proceedings 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, Athens, Greece November 1-6, 2020 1613-0073 1 LarsGleim LiamTirpitz JanPennekamp StefanDecker