Ontology-Driven Parliamentary Analytics: Analysing Political Debates on COVID-19 Impact in Canada. Azzi, S. & Gagnon, S. In Kö, A., Francesconi, E., Asemi, A., Kotsis, G., Tjoa, A M., & Khalil, I., editors, EGOVIS, volume 14149, of Lecture Notes in Computer Science, pages 89-102, 2023. Springer.
Ontology-Driven Parliamentary Analytics: Analysing Political Debates on COVID-19 Impact in Canada. [link]Link  Ontology-Driven Parliamentary Analytics: Analysing Political Debates on COVID-19 Impact in Canada. [link]Paper  bibtex   
@inproceedings{conf/egovis/AzziG23,
  added-at = {2023-08-31T00:00:00.000+0200},
  author = {Azzi, Sabrina and Gagnon, Stéphane},
  biburl = {https://www.bibsonomy.org/bibtex/2caeeab71e84821e769af57920b53d82a/dblp},
  booktitle = {EGOVIS},
  crossref = {conf/egovis/2023},
  editor = {Kö, Andrea and Francesconi, Enrico and Asemi, Adeleh and Kotsis, Gabriele and Tjoa, A Min and Khalil, Ismail},
  ee = {https://doi.org/10.1007/978-3-031-39841-4_7},
  interhash = {d2e3db7d3fad06a50a27637b0862e1ad},
  intrahash = {caeeab71e84821e769af57920b53d82a},
  isbn = {978-3-031-39841-4},
  keywords = {dblp},
  pages = {89-102},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2024-04-09T14:36:49.000+0200},
  title = {Ontology-Driven Parliamentary Analytics: Analysing Political Debates on COVID-19 Impact in Canada.},
  url = {http://dblp.uni-trier.de/db/conf/egovis/egovis2023.html#AzziG23},
  volume = 14149,
  year = 2023
}

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