Albeiro Espinal, Yannis Haralambous, Dominique Bedart, John Puentes. An Ontology-based Possibilistic Framework for Extracting Relevant Terms from Job Advertisements. In Thomas Bäck, Bas van Stein, Christian Wagner 0002, Jonathan M. Garibaldi, H. K. Lam, Marie Cottrell, Faiyaz Doctor, Joaquim Filipe, Kevin Warwick, Janusz Kacprzyk, editors, Proceedings of the 14th International Joint Conference on Computational Intelligence, IJCCI 2022, Valletta, Malta, October 24-26, 2022. pages 163-174, SCITEPRESS, 2022. [doi]
@inproceedings{EspinalHBP22,
title = {An Ontology-based Possibilistic Framework for Extracting Relevant Terms from Job Advertisements},
author = {Albeiro Espinal and Yannis Haralambous and Dominique Bedart and John Puentes},
year = {2022},
doi = {10.5220/0011521700003332},
url = {https://doi.org/10.5220/0011521700003332},
researchr = {https://researchr.org/publication/EspinalHBP22},
cites = {0},
citedby = {0},
pages = {163-174},
booktitle = {Proceedings of the 14th International Joint Conference on Computational Intelligence, IJCCI 2022, Valletta, Malta, October 24-26, 2022},
editor = {Thomas Bäck and Bas van Stein and Christian Wagner 0002 and Jonathan M. Garibaldi and H. K. Lam and Marie Cottrell and Faiyaz Doctor and Joaquim Filipe and Kevin Warwick and Janusz Kacprzyk},
publisher = {SCITEPRESS},
isbn = {978-989-758-611-8},
}