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Registro Completo |
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
25/10/2021 |
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Data da última atualização: |
09/06/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
NEVES, R. A.; CRUVINEL, P. E. |
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Afiliação: |
PAULO ESTEVAO CRUVINEL, CNPDIA. |
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Título: |
Ontology for structuring a digital databases for decision making in grain production. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: IEEE International Conference on Semantic Computing (ICSC), 15th, Laguna Hills, CA, USA, 2021. |
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Páginas: |
386-392 |
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DOI: |
10.1109/ICSC50631.2021.00071 |
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Idioma: |
Inglês |
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Conteúdo: |
This paper presents an ontology for the structuring of digital databases with the objective of acting in a cloud environment and meeting big data sources in the agricultural context of grain production. Its conception is structured in three stages: the first stage presents an ontological architecture aimed at public and private cloud environments, the second stage deals with a semantic model at process level, and a pseudocode for ontological application is elaborated in the third stage, considering the technologies applied to the cloud. This work combines advanced features to support decision making from Data Lake storage solutions, semantic treatment of big data, as well as the presentation of strategies based on machine learning and data quality analysis to obtain data and metadata organized for application in a decision model. The configuration of the ontology presented meets the diversity of big data projects in the grain production context, the characteristics of which are based on interoperability in the use of heterogeneous data and its integration, elasticity of computational resources, and high availability of cloud access. |
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Palavras-Chave: |
Big Data; Cloud Computing; Terms-Ontology. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01751nam a2200181 a 4500
001 2135527
005 2022-06-09
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1109/ICSC50631.2021.00071$2DOI
100 1 $aNEVES, R. A.
245 $aOntology for structuring a digital databases for decision making in grain production.$h[electronic resource]
260 $aIn: IEEE International Conference on Semantic Computing (ICSC), 15th, Laguna Hills, CA, USA$c2021
300 $a386-392
520 $aThis paper presents an ontology for the structuring of digital databases with the objective of acting in a cloud environment and meeting big data sources in the agricultural context of grain production. Its conception is structured in three stages: the first stage presents an ontological architecture aimed at public and private cloud environments, the second stage deals with a semantic model at process level, and a pseudocode for ontological application is elaborated in the third stage, considering the technologies applied to the cloud. This work combines advanced features to support decision making from Data Lake storage solutions, semantic treatment of big data, as well as the presentation of strategies based on machine learning and data quality analysis to obtain data and metadata organized for application in a decision model. The configuration of the ontology presented meets the diversity of big data projects in the grain production context, the characteristics of which are based on interoperability in the use of heterogeneous data and its integration, elasticity of computational resources, and high availability of cloud access.
653 $aBig Data
653 $aCloud Computing
653 $aTerms-Ontology
700 1 $aCRUVINEL, P. E.
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
29/04/2010 |
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Data da última atualização: |
27/07/2017 |
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Tipo da produção científica: |
Circular Técnica |
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Autoria: |
CAMPANHA, M. M.; NOGUEIRA, R. da S.; OLIVEIRA, T. S. de; TEIXEIRA, A. dos S.; ROMERO, R. E. |
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Afiliação: |
MONICA MATOSO CAMPANHA, CNPC; Rafaella da Silva Nogueira, EPAMIG; Teógenes Senna de Oliveira, Universidade Federal do Ceará (UFC), Fortaleza, CE; Adunias dos Santos Teixeira, UFC; Ricardo Espíndola Romero, UFC. |
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Título: |
Teores e estoques de carbono no solo de sistemas agroflorestais e tradicionais no semiárido brasileiro. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Sobral: Embrapa Caprinos e Ovinos, 2009. |
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Páginas: |
13 p. |
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Série: |
(Embrapa Caprinos e Ovinos. Circular Técnica, 42). |
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Idioma: |
Português |
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Palavras-Chave: |
Agroforestry systems; Agrosilvopastoral systems; Brasil; Carbon stock assessments; Código florestal; Estoque de carbono; Grassland Management; Manejo agroflorestal; Qualidade do solo; Semiarido; Sequestro de carbono; Sistema agrossilvipatoril; Sistemas agroflorestais. |
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Thesaurus NAL: |
Brazil; Semiarid soils. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CNPC-2010/23049/1/ct42.pdf
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Marc: |
LEADER 01099nam a2200349 a 4500
001 1748129
005 2017-07-27
008 2009 bl uuuu u0uu1 u #d
100 1 $aCAMPANHA, M. M.
245 $aTeores e estoques de carbono no solo de sistemas agroflorestais e tradicionais no semiárido brasileiro.$h[electronic resource]
260 $aSobral: Embrapa Caprinos e Ovinos$c2009
300 $a13 p.
490 $a(Embrapa Caprinos e Ovinos. Circular Técnica, 42).
650 $aBrazil
650 $aSemiarid soils
653 $aAgroforestry systems
653 $aAgrosilvopastoral systems
653 $aBrasil
653 $aCarbon stock assessments
653 $aCódigo florestal
653 $aEstoque de carbono
653 $aGrassland Management
653 $aManejo agroflorestal
653 $aQualidade do solo
653 $aSemiarido
653 $aSequestro de carbono
653 $aSistema agrossilvipatoril
653 $aSistemas agroflorestais
700 1 $aNOGUEIRA, R. da S.
700 1 $aOLIVEIRA, T. S. de
700 1 $aTEIXEIRA, A. dos S.
700 1 $aROMERO, R. E.
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