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. 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}
}
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