SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT

Haoyu Ren, Kirill Dorofeev, Darko Anicic, Youssef Hammad, Roland Eckl, Thomas A. Runkler. SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT. In Ulrike Sattler, Aidan Hogan, C. Maria Keet, Valentina Presutti, João Paulo A. Almeida, Hideaki Takeda 0001, Pierre Monnin, Giuseppe Pirrò, Claudia d'Amato, editors, The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings. Volume 13489 of Lecture Notes in Computer Science, pages 845-862, Springer, 2022. [doi]

@inproceedings{RenDAHER22,
  title = {SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT},
  author = {Haoyu Ren and Kirill Dorofeev and Darko Anicic and Youssef Hammad and Roland Eckl and Thomas A. Runkler},
  year = {2022},
  doi = {10.1007/978-3-031-19433-7_48},
  url = {https://doi.org/10.1007/978-3-031-19433-7_48},
  researchr = {https://researchr.org/publication/RenDAHER22},
  cites = {0},
  citedby = {0},
  pages = {845-862},
  booktitle = {The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings},
  editor = {Ulrike Sattler and Aidan Hogan and C. Maria Keet and Valentina Presutti and João Paulo A. Almeida and Hideaki Takeda 0001 and Pierre Monnin and Giuseppe Pirrò and Claudia d'Amato},
  volume = {13489},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-19433-7},
}