Intelligent search system for resume and labor law

Detalhes bibliográficos
Autor(a) principal: Nguyen, Hien
Data de Publicação: 2024
Outros Autores: Pham, Vuong, Ngo, Hung Q., Huynh, Anh, Nguyen, Binh, Machado, José Manuel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/1822/95206
Resumo: The data and code are available at figshare: Nguyen, Hien (2023). Dataset for Intelligent Searching System on Resumes and Legal documents. figshare. Dataset. https://doi.org/10.6084/m9.figshare.24818709.v1.
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling Intelligent search system for resume and labor lawJob descriptionKnowledge representationKnowledge-based systemLabor lawLegal documentOntologySearching systemTalent acquisitionUnemployment insuranceCiências Naturais::Ciências da Computação e da InformaçãoThe data and code are available at figshare: Nguyen, Hien (2023). Dataset for Intelligent Searching System on Resumes and Legal documents. figshare. Dataset. https://doi.org/10.6084/m9.figshare.24818709.v1.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.This research is supported by Vietnam National University, Ho Chi Minh City (VNU-HCM) under grant number DS2023-26-04. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peerj, Inc.Universidade do MinhoNguyen, HienPham, VuongNgo, Hung Q.Huynh, AnhNguyen, BinhMachado, José Manuel20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/95206engNguyen, H., Pham, V., Ngo, H. Q., Huynh, A., Nguyen, B., & Machado, J. (2024). Intelligent search system for resume and labor law. Em PeerJ Computer Science (Vol. 10, p. e1786). PeerJ. https://doi.org/10.7717/peerj-cs.17862376-599210.7717/peerj-cs.1786info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T05:29:45Zoai:repositorium.sdum.uminho.pt:1822/95206Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:24:48.822939Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Intelligent search system for resume and labor law
title Intelligent search system for resume and labor law
spellingShingle Intelligent search system for resume and labor law
Nguyen, Hien
Job description
Knowledge representation
Knowledge-based system
Labor law
Legal document
Ontology
Searching system
Talent acquisition
Unemployment insurance
Ciências Naturais::Ciências da Computação e da Informação
title_short Intelligent search system for resume and labor law
title_full Intelligent search system for resume and labor law
title_fullStr Intelligent search system for resume and labor law
title_full_unstemmed Intelligent search system for resume and labor law
title_sort Intelligent search system for resume and labor law
author Nguyen, Hien
author_facet Nguyen, Hien
Pham, Vuong
Ngo, Hung Q.
Huynh, Anh
Nguyen, Binh
Machado, José Manuel
author_role author
author2 Pham, Vuong
Ngo, Hung Q.
Huynh, Anh
Nguyen, Binh
Machado, José Manuel
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Nguyen, Hien
Pham, Vuong
Ngo, Hung Q.
Huynh, Anh
Nguyen, Binh
Machado, José Manuel
dc.subject.por.fl_str_mv Job description
Knowledge representation
Knowledge-based system
Labor law
Legal document
Ontology
Searching system
Talent acquisition
Unemployment insurance
Ciências Naturais::Ciências da Computação e da Informação
topic Job description
Knowledge representation
Knowledge-based system
Labor law
Legal document
Ontology
Searching system
Talent acquisition
Unemployment insurance
Ciências Naturais::Ciências da Computação e da Informação
description The data and code are available at figshare: Nguyen, Hien (2023). Dataset for Intelligent Searching System on Resumes and Legal documents. figshare. Dataset. https://doi.org/10.6084/m9.figshare.24818709.v1.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/95206
url https://hdl.handle.net/1822/95206
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Nguyen, H., Pham, V., Ngo, H. Q., Huynh, A., Nguyen, B., & Machado, J. (2024). Intelligent search system for resume and labor law. Em PeerJ Computer Science (Vol. 10, p. e1786). PeerJ. https://doi.org/10.7717/peerj-cs.1786
2376-5992
10.7717/peerj-cs.1786
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Peerj, Inc.
publisher.none.fl_str_mv Peerj, Inc.
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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