A Novel Neurofuzzy Approach for Semantic Similarity Measurement

Jorge Martínez Gil, Riad Mokadem, Josef Küng, Abdelkader Hameurlain. A Novel Neurofuzzy Approach for Semantic Similarity Measurement. In Matteo Golfarelli, Robert Wrembel, Gabriele Kotsis, A Min Tjoa, Ismail Khalil, editors, Big Data Analytics and Knowledge Discovery - 23rd International Conference, DaWaK 2021, Virtual Event, September 27-30, 2021, Proceedings. Volume 12925 of Lecture Notes in Computer Science, pages 192-203, Springer, 2021. [doi]

@inproceedings{GilMKH21,
  title = {A Novel Neurofuzzy Approach for Semantic Similarity Measurement},
  author = {Jorge Martínez Gil and Riad Mokadem and Josef Küng and Abdelkader Hameurlain},
  year = {2021},
  doi = {10.1007/978-3-030-86534-4_18},
  url = {https://doi.org/10.1007/978-3-030-86534-4_18},
  researchr = {https://researchr.org/publication/GilMKH21},
  cites = {0},
  citedby = {0},
  pages = {192-203},
  booktitle = {Big Data Analytics and Knowledge Discovery - 23rd International Conference, DaWaK 2021, Virtual Event, September 27-30, 2021, Proceedings},
  editor = {Matteo Golfarelli and Robert Wrembel and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
  volume = {12925},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86534-4},
}