Recommending Words Using a Bayesian Network
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 coordinat...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/10/2218 |
| _version_ | 1797600309346828288 |
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| author | Pedro Santos Matilde Pato Nuno Datia José Sobral Noel Leitão Manuel Ramos Ferreira Nuno Gomes |
| author_facet | Pedro Santos Matilde Pato Nuno Datia José Sobral Noel Leitão Manuel Ramos Ferreira Nuno Gomes |
| author_sort | Pedro Santos |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T03:47:39Z |
| format | Article |
| id | doaj.art-5e019224dae14b6eb2e028272f918de9 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T03:47:39Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-5e019224dae14b6eb2e028272f918de92023-11-18T01:09:22ZengMDPI AGElectronics2079-92922023-05-011210221810.3390/electronics12102218Recommending Words Using a Bayesian NetworkPedro Santos0Matilde Pato1Nuno Datia2José Sobral3Noel Leitão4Manuel Ramos Ferreira5Nuno Gomes6ISEL, Lisbon School of Engineering, Instituto Politécnico de Lisboa, 1959-007 Lisboa, PortugalISEL, Lisbon School of Engineering, Instituto Politécnico de Lisboa, 1959-007 Lisboa, PortugalISEL, Lisbon School of Engineering, Instituto Politécnico de Lisboa, 1959-007 Lisboa, PortugalISEL, Lisbon School of Engineering, Instituto Politécnico de Lisboa, 1959-007 Lisboa, PortugalTDGI—Property Management Technology, 2740-265 Porto Salvo, PortugalTDGI—Property Management Technology, 2740-265 Porto Salvo, PortugalISEL, Lisbon School of Engineering, Instituto Politécnico de Lisboa, 1959-007 Lisboa, PortugalAsset 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.https://www.mdpi.com/2079-9292/12/10/2218tag recommender systemNLPword embeddingsasset managementBayesian network |
| spellingShingle | Pedro Santos Matilde Pato Nuno Datia José Sobral Noel Leitão Manuel Ramos Ferreira Nuno Gomes Recommending Words Using a Bayesian Network Electronics tag recommender system NLP word embeddings asset management Bayesian network |
| title | 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_short | Recommending Words Using a Bayesian Network |
| title_sort | recommending words using a bayesian network |
| topic | tag recommender system NLP word embeddings asset management Bayesian network |
| url | https://www.mdpi.com/2079-9292/12/10/2218 |
| work_keys_str_mv | AT pedrosantos recommendingwordsusingabayesiannetwork AT matildepato recommendingwordsusingabayesiannetwork AT nunodatia recommendingwordsusingabayesiannetwork AT josesobral recommendingwordsusingabayesiannetwork AT noelleitao recommendingwordsusingabayesiannetwork AT manuelramosferreira recommendingwordsusingabayesiannetwork AT nunogomes recommendingwordsusingabayesiannetwork |