2024
Nguyen, H.; Pham, V.; Ngo, H. Q.; Huynh, A.; Nguyen, B.; Machado, J.
Intelligent search system for resume and labor law Journal Article
Em: PeerJ Computer Science, vol. 10, 2024, ISSN: 23765992, (cited By 0).
Resumo | Links | BibTeX | Etiquetas: Employment; Insurance; Knowledge representation; Laws and legislation; Personnel; Search engines, Intelligent search systems; Job description; Knowledge-based systems; Knowledge-representation; Labor laws; Legal documents; Ontology's; Searching systems; Talent acquisition; Unemployment insurance, Ontology
@article{Nguyen2024,
title = {Intelligent search system for resume and labor law},
author = {H. Nguyen and V. Pham and H. Q. Ngo and A. Huynh and B. Nguyen and J. Machado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185847238&doi=10.7717%2fpeerj-cs.1786&partnerID=40&md5=07e26e014a02a4fb13dc43bbce9a4e56},
doi = {10.7717/peerj-cs.1786},
issn = {23765992},
year = {2024},
date = {2024-01-01},
journal = {PeerJ Computer Science},
volume = {10},
publisher = {PeerJ Inc.},
abstract = {Labor and employment are important issues in social life. The demand for online job searching and searching for labor regulations in legal documents, particularly regarding the policy for unemployment benefits, is essential. Nowadays, each function has some programs for its working. However, there is no program that combines both functions. In practice, when users seek a job, they may be unemployed or want to transfer to another work. Thus, they are required to search for regulations about unemployment insurance policies and related information, as well as regulations about workers working smoothly and following labor law. Ontology is a useful technique for representing areas of practical knowledge. This article proposes an ontology-based method for solving labor and employment-related problems. First, we construct an ontology of job skills to match curriculum vitae (CV) and job descriptions (JD). In addition, an ontology for representing labor law documents is proposed to aid users in their search for legal labor law regulations. These ontologies are combined to construct the knowledge base of a job-searching and labor law-searching system. In addition, this integrated ontology is used to study several issues involving the matching of CVs and JDs and the search for labor law issues. A system for intelligent resume searching in information technology is developed using the proposed method. This system also incorporates queries pertaining to Vietnamese labor law policies regarding unemployment and healthcare benefits. The experimental results demonstrate that the method designed to assist job seekers and users searching for legal labor documents is effective. © 2024 Nguyen et al.},
note = {cited By 0},
keywords = {Employment; Insurance; Knowledge representation; Laws and legislation; Personnel; Search engines, Intelligent search systems; Job description; Knowledge-based systems; Knowledge-representation; Labor laws; Legal documents; Ontology's; Searching systems; Talent acquisition; Unemployment insurance, Ontology},
pubstate = {published},
tppubtype = {article}
}
Labor and employment are important issues in social life. The demand for online job searching and searching for labor regulations in legal documents, particularly regarding the policy for unemployment benefits, is essential. Nowadays, each function has some programs for its working. However, there is no program that combines both functions. In practice, when users seek a job, they may be unemployed or want to transfer to another work. Thus, they are required to search for regulations about unemployment insurance policies and related information, as well as regulations about workers working smoothly and following labor law. Ontology is a useful technique for representing areas of practical knowledge. This article proposes an ontology-based method for solving labor and employment-related problems. First, we construct an ontology of job skills to match curriculum vitae (CV) and job descriptions (JD). In addition, an ontology for representing labor law documents is proposed to aid users in their search for legal labor law regulations. These ontologies are combined to construct the knowledge base of a job-searching and labor law-searching system. In addition, this integrated ontology is used to study several issues involving the matching of CVs and JDs and the search for labor law issues. A system for intelligent resume searching in information technology is developed using the proposed method. This system also incorporates queries pertaining to Vietnamese labor law policies regarding unemployment and healthcare benefits. The experimental results demonstrate that the method designed to assist job seekers and users searching for legal labor documents is effective. © 2024 Nguyen et al.