BTM Standards Integration within Talent Management Processes - An Ontology Engineering Approach - Thèse doctorale

Aug 29, 2026

This doctoral thesis addresses the challenge of aligning job requirements with candidate qualifications in recruitment and selection, focusing on Human Resource Management processes. It develops an ontology of jobs and candidates for Business Technology Management (BTM) using Protégé, then uses Semantic Web Rule Language (SWRL) to define rules for qualification-job matching and evaluation. The matching and ranking integrate ontology alignment and multi-criteria decision making, specifically SAW, while METHONTOLOGY and ontology design patterns guide best practices, and result quality is verified with F-measure analysis. The ontology-driven approach improves automation, transparency, and interoperability, reducing time and cost and supporting scalable future integration into BTM job portals.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages371

Reading Time15 h 35 min

AccessFree to download

Acknowledgement

Sommaire

Semantic Web approach to job-candidate matching

Ontology, rules, and decision making workflow

UNIVERSITÉ DU QUÉBEC EN OUTAOUAIS DOCTORAL THESIS PRESENTED TO DÉPARTEMENT DE SCIENCES ET TECHNOLOGIES DE L'INFORMATION IN PARTIAL FULFILLEMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY BY JAMAL ELGEBLI BTM STANDARDS INTEGRATION WITHIN TALENT MANAGEMENT PROCESSES: AN ONTOLOGY ENGINEERING APPROACH GATINEAU, OCTOBER 29, 2024 © Copyright 2024, Jamal Elgebli All Rights Reserved © Copyright reserved It is forbidden to reproduce, save or share the content of this document either in whole or in parts. The reader who wishes to print or save this document on any media must first get the permission of the author. BOARD OF EXAMINERS THIS THESIS HAS BEEN EVALUATED BY THE FOLLOWING BOARD OF EXAMINERS Mr. Stéphane Gagnon, Thesis Supervisor Département des sciences administratives, Université du Québec en Outaouais Mr. Péricles Sobreira, Internal Evaluator Département d’informatique et d’ingénierie, Université du Québec en Outaouais Mr. José Bélanger, Member of the jury Département des sciences administratives et Département des Relations industrielles, Université du Québec en Outaouais Mr. Hamid Mcheick, External Evaluator Département d'informatique et de mathématique, Université du Québec à Chicoutimi 2024 AT UNIVERSITÉ DU QUÉBEC EN OUTAOUAIS ACKNOWLEDGEMENT The completion of this thesis would not been possible without the support and encouragement from a number of individuals to whom I owe my sincere gratitude. First and foremost, I wish to express my sincerest appreciation to my supervisor Stephane Gagnon for his invaluable guidance, encouragement, and dedication, all of which contributed considerably to my research experience. Your continuous support and enlightening have been the cornerstone of this work. To my family, your constant love, support, encouragement, and endless patience have made this journey delightful and successful. I am extremely grateful for the stability and motivation you have provided during moments of doubt and stress. This accomplishment is as much yours as it is mine. I would like also to extend my sincere gratitude to the faculty and staff of the Department of d'informatique et d'ingénierie, Bureau des étudiants et des échanges internationaux at Université du Québec en Outaouais (UQO) for their assistance at various stages of my study. Your willingness to share knowledge and offer timely advice have been of great help. My peers and colleagues deserve a special mention for their constant encouragement, valuable discussions, and faithful motivation. To my friends especially my close friend Miloud Eloumri who have been there forme, offering their understanding and moral support during those late nights, I am incredibly thankful. This thesis not only represents my academic journey but also the collective effort of all those mentioned above. I am profoundly grateful to each one of you. Thank you for being a part of this journey. SOMMAIRE La gestion des ressources humaines (GRH) repose fortement sur des processus de recrutement et desélection efficaces pour attirer et employer les meilleurs candidats. Cependant, la complexité du problèmede sélection du personnel présente des défis pour associer efficacement les exigences du poste avec les qualifications des candidats. Cette thèse aborde ces défis en exploitant les technologies du Web Sémantique (SW) pour développer une ontologie des emplois et des candidats en Gestion de la Technologie d’Affaires (BTM) en utilisant Protégé . Ensuite, le langage de règles du Web Sémantique (SWRL) est utilisé pour élaborer des règles qui associent et évaluent les qualifications des candidats par rapport aux exigences du poste. Ce processus d'appariement et d'évaluation intègre l'utilisation de l'appariement d'ontologies et des techniques de prise de décision multicritères (MCDM), spécifiquement la méthode de pondération additive simple (SAW) . De plus, la méthodologie METHONTOLOGY employée et les m

FAQs

How does the thesis support recruitment and selection decision-making?

It uses a job-candidate ontology and SWRL rules to connect candidate qualifications with job requirements, then evaluates and ranks matches using multi-criteria decision techniques.

What tools and methods are used to build and reason over the ontology?

The ontology is developed in Protégé, rules are expressed with SWRL, and best practices are followed using METHONTOLOGY and ontology design patterns.

How are results quality and ranking validated?

The approach verifies the precision of matching and evaluation outcomes using F-measure analysis.

Aug 29, 2026

Uploaded by Jordan Avery