@inproceedings{Drexel2021,
  author    = {Damian Drexel},
  title     = {Automatically linking concepts in distributed, cloud-based manufacturing environments},
  series = {Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @RuleML+RR 2021. Leuven, Belgium (virtual due to Covid-19 pandemic), 8-15 September, 2021},
  editor    = {Ahmet Soylu and Alireza Tamaddoni Nezhad and Nikolay Nikolov and Ioan Toma and Anna Fensel and Joost Vennekens},
  publisher = {RWTH Aachen},
  address   = {Aachen},
  issn      = {1613-0073},
  url       = {https://nbn-resolving.org/urn:nbn:de:0074-2956-7},
  year      = {2021},
  abstract  = {With the digitalisation, and the increased connectivity between manufacturing systems emerging in this context, manufacturing is shifting towards decentralised, distributed concepts. Still, for manufacturing scenarios manual input or augmentation of data is required at system boundaries. Especially in distributed manufacturing environments, like Cloud Manufacturing (CMfg) systems, constant changes to the available manufacturing resources and products pose challenges for establishing connections between them. We propose a feature-oriented representation of concepts, especially from the manufacturing domain, which serves as the basis for (semi-) automatically linking, e.g., manufacturing resources and products. This linking methodologies, as well as knowledge inferred using it, is then used to support distributed manufacturing, especially in CMfg environments, and enhance product development. The concepts and methodologies are to be evaluated in a real world learning factory.},
  language  = {en}
}