Recommending Words Using a Bayesian Network
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/155309 |
Resumo: | Funding Information: This work was supported by the REV@CONSTRUCTION mobiliser project, under the grant LISBOA-01-0247-FEDER-046123 from ANI (National Innovation Agency), with financial support from FCT (Fundação para a Ciência e a Tecnologia), through national funds. This work contributes to the Strategic Research Plan of the Centre for Marine Technology and Ocean Engineering (CENTEC), which is financed by FCT under contract UIDB/UIDP/00134/2020. Publisher Copyright: © 2023 by the authors. |
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Recommending Words Using a Bayesian Networkasset managementBayesian networkNLPtag recommender systemword embeddingsControl and Systems EngineeringSignal ProcessingHardware and ArchitectureComputer Networks and CommunicationsElectrical and Electronic EngineeringFunding Information: This work was supported by the REV@CONSTRUCTION mobiliser project, under the grant LISBOA-01-0247-FEDER-046123 from ANI (National Innovation Agency), with financial support from FCT (Fundação para a Ciência e a Tecnologia), through national funds. This work contributes to the Strategic Research Plan of the Centre for Marine Technology and Ocean Engineering (CENTEC), which is financed by FCT under contract UIDB/UIDP/00134/2020. Publisher Copyright: © 2023 by the authors.Asset management involves the coordinated activities of an organisation to derive value from assets, which may include physical assets. It encompasses activities related to design, construction, installation, operation, maintenance, renewal, and asset disposal. Asset management ensures the coordination of all activities, resources, and data related to physical assets. Recording and monitoring all maintenance activities is a key part of asset management, often done using work orders (WOs). Technicians typically create WOs using “free text”, which can result in missing or ungrammatical words, making it difficult to identify trends and analyse information. To standardise the terminology used for the same asset maintenance operation, this paper proposes a method that suggests words to technicians as they complete WOs. The word suggestion algorithm is based on past maintenance records, and a Bayesian network-based recommender system adapts to present needs verified by technicians using implicit user feedback. Implementing this system aims to normalise the terms used by technicians when filling in a WO. The corpus for this work comes from asset management records collected in a health facility in Portugal operated by a private company.NOVALincsRUNSantos, PedroPato, MatildeDatia, NunoSobral, JoséLeitão, NoelRamos Ferreira, ManuelGomes, Nuno2023-07-14T22:21:17Z2023-05-122023-05-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article22application/pdfhttp://hdl.handle.net/10362/155309eng2079-9292PURE: 66125181https://doi.org/10.3390/electronics12102218info: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:RCAAP2024-03-11T05:37:53Zoai:run.unl.pt:10362/155309Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:56:01.632153Repositório 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 |
Recommending Words Using a Bayesian Network |
title |
Recommending Words Using a Bayesian Network |
spellingShingle |
Recommending Words Using a Bayesian Network Santos, Pedro asset management Bayesian network NLP tag recommender system word embeddings Control and Systems Engineering Signal Processing Hardware and Architecture Computer Networks and Communications Electrical and Electronic Engineering |
title_short |
Recommending Words Using a Bayesian Network |
title_full |
Recommending Words Using a Bayesian Network |
title_fullStr |
Recommending Words Using a Bayesian Network |
title_full_unstemmed |
Recommending Words Using a Bayesian Network |
title_sort |
Recommending Words Using a Bayesian Network |
author |
Santos, Pedro |
author_facet |
Santos, Pedro Pato, Matilde Datia, Nuno Sobral, José Leitão, Noel Ramos Ferreira, Manuel Gomes, Nuno |
author_role |
author |
author2 |
Pato, Matilde Datia, Nuno Sobral, José Leitão, Noel Ramos Ferreira, Manuel Gomes, Nuno |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
NOVALincs RUN |
dc.contributor.author.fl_str_mv |
Santos, Pedro Pato, Matilde Datia, Nuno Sobral, José Leitão, Noel Ramos Ferreira, Manuel Gomes, Nuno |
dc.subject.por.fl_str_mv |
asset management Bayesian network NLP tag recommender system word embeddings Control and Systems Engineering Signal Processing Hardware and Architecture Computer Networks and Communications Electrical and Electronic Engineering |
topic |
asset management Bayesian network NLP tag recommender system word embeddings Control and Systems Engineering Signal Processing Hardware and Architecture Computer Networks and Communications Electrical and Electronic Engineering |
description |
Funding Information: This work was supported by the REV@CONSTRUCTION mobiliser project, under the grant LISBOA-01-0247-FEDER-046123 from ANI (National Innovation Agency), with financial support from FCT (Fundação para a Ciência e a Tecnologia), through national funds. This work contributes to the Strategic Research Plan of the Centre for Marine Technology and Ocean Engineering (CENTEC), which is financed by FCT under contract UIDB/UIDP/00134/2020. Publisher Copyright: © 2023 by the authors. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-14T22:21:17Z 2023-05-12 2023-05-12T00:00:00Z |
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 |
http://hdl.handle.net/10362/155309 |
url |
http://hdl.handle.net/10362/155309 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2079-9292 PURE: 66125181 https://doi.org/10.3390/electronics12102218 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
22 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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