Root Cause Analysis in the Industrial Domain using Knowledge Graphs: A Case Study on Power Transformers. Gil, J. M., Buchgeher, G., Gabauer, D., Freudenthaler, B., Filipiak, D., & Fensel, A. In Longo, F., Affenzeller, M., & Padovano, A., editors, Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus - Linz, Austria, 17-19 November 2021, volume 200, of Procedia Computer Science, pages 944–953, 2021. Elsevier.
Root Cause Analysis in the Industrial Domain using Knowledge Graphs: A Case Study on Power Transformers [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/ism2/GilBGFFF21,
  author       = {Jorge Mart{\'{\i}}nez Gil and
                  Georg Buchgeher and
                  David Gabauer and
                  Bernhard Freudenthaler and
                  Dominik Filipiak and
                  Anna Fensel},
  editor       = {Francesco Longo and
                  Michael Affenzeller and
                  Antonio Padovano},
  title        = {Root Cause Analysis in the Industrial Domain using Knowledge Graphs:
                  {A} Case Study on Power Transformers},
  booktitle    = {Proceedings of the 3rd International Conference on Industry 4.0 and
                  Smart Manufacturing {(ISM} 2022), Virtual Event / Upper Austria University
                  of Applied Sciences - Hagenberg Campus - Linz, Austria, 17-19 November
                  2021},
  series       = {Procedia Computer Science},
  volume       = {200},
  pages        = {944--953},
  publisher    = {Elsevier},
  year         = {2021},
  url          = {https://doi.org/10.1016/j.procs.2022.01.292},
  doi          = {10.1016/J.PROCS.2022.01.292},
  timestamp    = {Sun, 12 Nov 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/ism2/GilBGFFF21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0