Application of a Heterogeneous Correlation Integration Method to a Context Cube Network Semantic Model for Railway Passengers

Motoki Yokoyama, Yasushi Kiyoki, Tetsuya Mita. Application of a Heterogeneous Correlation Integration Method to a Context Cube Network Semantic Model for Railway Passengers. In Marina Tropmann-Frick, Bernhard Thalheim, Hannu Jaakkola, Yasushi Kiyoki, Naofumi Yoshida, editors, Information Modelling and Knowledge Bases XXXII - Proceedings of the 30th International Conference on Information Modelling and Knowledge Bases, EJC 2020, Virtual Event / Hamburg, Germany, June 8-9, 2020. Volume 333 of Frontiers in Artificial Intelligence and Applications, pages 196-212, IOS Press, 2020. [doi]

@inproceedings{YokoyamaKM20,
  title = {Application of a Heterogeneous Correlation Integration Method to a Context Cube Network Semantic Model for Railway Passengers},
  author = {Motoki Yokoyama and Yasushi Kiyoki and Tetsuya Mita},
  year = {2020},
  doi = {10.3233/FAIA200830},
  url = {https://doi.org/10.3233/FAIA200830},
  researchr = {https://researchr.org/publication/YokoyamaKM20},
  cites = {0},
  citedby = {0},
  pages = {196-212},
  booktitle = {Information Modelling and Knowledge Bases XXXII - Proceedings of the 30th International Conference on Information Modelling and Knowledge Bases, EJC 2020, Virtual Event / Hamburg, Germany, June 8-9, 2020},
  editor = {Marina Tropmann-Frick and Bernhard Thalheim and Hannu Jaakkola and Yasushi Kiyoki and Naofumi Yoshida},
  volume = {333},
  series = {Frontiers in Artificial Intelligence and Applications},
  publisher = {IOS Press},
  isbn = {978-1-64368-141-2},
}