Planning and prototyping aggregation and storage of job vacancies over time
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/140667 |
Resumo: | This work project presents an argument for, and a prototype of, a system for aggregation of online job vacancies and their storage. Firstly, an overview of the online job market in Europe highlights the jobs data advantages for Businesses, Government, and other stakeholders. Next, via an automated pipeline, data from selected Portuguese job platforms was aggregated and transformed, leveraging machine learning tools. The collected data was analyzed to visualize the Portuguese jobs market by jobs, locations, sectors, and skills. We conclude, discussing how stakeholders can contribute toward the project’s implementation and reflect on future development. This work project is part of an ongoing partnership project with the IEFP. |
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Planning and prototyping aggregation and storage of job vacancies over timeMachine learningJobsData collectionData visualizationData curationDomínio/Área Científica::Ciências Sociais::Economia e GestãoThis work project presents an argument for, and a prototype of, a system for aggregation of online job vacancies and their storage. Firstly, an overview of the online job market in Europe highlights the jobs data advantages for Businesses, Government, and other stakeholders. Next, via an automated pipeline, data from selected Portuguese job platforms was aggregated and transformed, leveraging machine learning tools. The collected data was analyzed to visualize the Portuguese jobs market by jobs, locations, sectors, and skills. We conclude, discussing how stakeholders can contribute toward the project’s implementation and reflect on future development. This work project is part of an ongoing partnership project with the IEFP.Zejnilovic, LeidRUNRibeiro, João Gil Neto2022-06-24T09:48:34Z2022-01-212021-12-172022-01-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/140667TID:202973301enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:17:52Zoai:run.unl.pt:10362/140667Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:49:45.753430Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Planning and prototyping aggregation and storage of job vacancies over time |
title |
Planning and prototyping aggregation and storage of job vacancies over time |
spellingShingle |
Planning and prototyping aggregation and storage of job vacancies over time Ribeiro, João Gil Neto Machine learning Jobs Data collection Data visualization Data curation Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Planning and prototyping aggregation and storage of job vacancies over time |
title_full |
Planning and prototyping aggregation and storage of job vacancies over time |
title_fullStr |
Planning and prototyping aggregation and storage of job vacancies over time |
title_full_unstemmed |
Planning and prototyping aggregation and storage of job vacancies over time |
title_sort |
Planning and prototyping aggregation and storage of job vacancies over time |
author |
Ribeiro, João Gil Neto |
author_facet |
Ribeiro, João Gil Neto |
author_role |
author |
dc.contributor.none.fl_str_mv |
Zejnilovic, Leid RUN |
dc.contributor.author.fl_str_mv |
Ribeiro, João Gil Neto |
dc.subject.por.fl_str_mv |
Machine learning Jobs Data collection Data visualization Data curation Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Machine learning Jobs Data collection Data visualization Data curation Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
This work project presents an argument for, and a prototype of, a system for aggregation of online job vacancies and their storage. Firstly, an overview of the online job market in Europe highlights the jobs data advantages for Businesses, Government, and other stakeholders. Next, via an automated pipeline, data from selected Portuguese job platforms was aggregated and transformed, leveraging machine learning tools. The collected data was analyzed to visualize the Portuguese jobs market by jobs, locations, sectors, and skills. We conclude, discussing how stakeholders can contribute toward the project’s implementation and reflect on future development. This work project is part of an ongoing partnership project with the IEFP. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-17 2022-06-24T09:48:34Z 2022-01-21 2022-01-21T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/140667 TID:202973301 |
url |
http://hdl.handle.net/10362/140667 |
identifier_str_mv |
TID:202973301 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.source.none.fl_str_mv |
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instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138095784787968 |