Matching Patent and Research Field Classifications Using Lexical Similarity and Bipartite Network - Evidence from Colombia

Julián D. Cortés, Maria Catalina Ramírez Cajiao. Matching Patent and Research Field Classifications Using Lexical Similarity and Bipartite Network - Evidence from Colombia. In Isaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, Anne J. Gilliland, editors, Wisdom, Well-Being, Win-Win - 19th International Conference, iConference 2024, Changchun, China, April 15-26, 2024, Proceedings, Part II. Volume 14597 of Lecture Notes in Computer Science, pages 122-130, Springer, 2024. [doi]

@inproceedings{CortesC24a,
  title = {Matching Patent and Research Field Classifications Using Lexical Similarity and Bipartite Network - Evidence from Colombia},
  author = {Julián D. Cortés and Maria Catalina Ramírez Cajiao},
  year = {2024},
  doi = {10.1007/978-3-031-57860-1_9},
  url = {https://doi.org/10.1007/978-3-031-57860-1_9},
  researchr = {https://researchr.org/publication/CortesC24a},
  cites = {0},
  citedby = {0},
  pages = {122-130},
  booktitle = {Wisdom, Well-Being, Win-Win - 19th International Conference, iConference 2024, Changchun, China, April 15-26, 2024, Proceedings, Part II},
  editor = {Isaac Sserwanga and Hideo Joho and Jie Ma and Preben Hansen and Dan Wu and Masanori Koizumi and Anne J. Gilliland},
  volume = {14597},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-57860-1},
}