Abstract: Information Technology (IT) job offers are available on the web in a heterogeneous way. It is difficult for a candidate looking for an IT job to retrieve the exact information they need to locate the ideal match for their profile, without wasting time on useless searches. Traditional IT job search systems are based on simple keywords that are generally not adapted to provide detailed answers because they do not take into account semantic links. In this article, an ontology is developed to meet the expectations of IT profiles from the IT job descriptions accumulated and pre-annotated using the UBIAI tool. The classes and subclasses of the ontology are designed using the Protégé 5.5.0 editor. Then the properties of objects and data are defined to improve the ontology. The ontology results are validated using DL queries by asking a number of questions to retrieve the requested information for each IT profile, and the ontology answers all these questions adequately. Finally, Various plugins are used to display an ontology in a graphical representation.

Zineb Elkaimbillah, Bouchra El Asri, Mounia Mikram and Maryem Rhanoui, “Construction of an Ontology-based Document Collection for the IT Job Offer in Morocco” International Journal of Advanced Computer Science and Applications(IJACSA), 14(7), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140749

@article{Elkaimbillah2023,
title = {Construction of an Ontology-based Document Collection for the IT Job Offer in Morocco},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140749},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140749},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {7},
author = {Zineb Elkaimbillah and Bouchra El Asri and Mounia Mikram and Maryem Rhanoui}
}