Recommending Words Using a Bayesian Network

Bibliographic Details
Main Author: Santos, Pedro
Publication Date: 2023
Other Authors: Pato, Matilde, Datia, Nuno, Sobral, José, Leitão, Noel, Ramos Ferreira, Manuel, Gomes, Nuno
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/155309
Summary: 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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spelling 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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:13:00Zoai:run.unl.pt:10362/155309Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:43:34.435603Repositórios 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 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: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
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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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