A Tabular Open Data Search Engine Based on Word Embeddings for Data Integration

Alberto Berenguer, Jose-Norberto Mazón, David Tomás. A Tabular Open Data Search Engine Based on Word Embeddings for Data Integration. In Silvia Chiusano, Tania Cerquitelli, Robert Wrembel, Kjetil Nørvåg, Barbara Catania, Genoveva Vargas-Solar, Ester Zumpano, editors, New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022, Proceedings. Volume 1652 of Communications in Computer and Information Science, pages 99-108, Springer, 2022. [doi]

@inproceedings{BerenguerMT22,
  title = {A Tabular Open Data Search Engine Based on Word Embeddings for Data Integration},
  author = {Alberto Berenguer and Jose-Norberto Mazón and David Tomás},
  year = {2022},
  doi = {10.1007/978-3-031-15743-1_10},
  url = {https://doi.org/10.1007/978-3-031-15743-1_10},
  researchr = {https://researchr.org/publication/BerenguerMT22},
  cites = {0},
  citedby = {0},
  pages = {99-108},
  booktitle = {New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022, Proceedings},
  editor = {Silvia Chiusano and Tania Cerquitelli and Robert Wrembel and Kjetil Nørvåg and Barbara Catania and Genoveva Vargas-Solar and Ester Zumpano},
  volume = {1652},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-031-15743-1},
}