Automatic generation of Data Warehouse Instances from Requirements

Autores
Pizarro, Carlos; Novillo Rangone, Gabriel; Montejano, Germán Antonio; Garis, Ana Gabriela
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Data Warehouse projects in organizations as a basis for obtaining in-formation are having a great development today. The maturity of generation methodologies has reached significant acceptance. This allows us to focus on addressing the study of the lack of adaptability to the high dynamics of the changes in requirements of this type of projects. Data Science and Natural Language Processing allow us to integrate areas of knowledge and provide tools to solve this problem. A methodological model is proposed to partially automate the stages of generation of Data Warehouse instances based on requirements.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Science
Data Warehouse
Natural Language
Business
Intelligence
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/140115
Acceder
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network_name_str SEDICI (UNLP)
spelling Automatic generation of Data Warehouse Instances from RequirementsPizarro, CarlosNovillo Rangone, GabrielMontejano, Germán AntonioGaris, Ana GabrielaCiencias InformáticasScienceData WarehouseNatural LanguageBusinessIntelligenceData Warehouse projects in organizations as a basis for obtaining in-formation are having a great development today. The maturity of generation methodologies has reached significant acceptance. This allows us to focus on addressing the study of the lack of adaptability to the high dynamics of the changes in requirements of this type of projects. Data Science and Natural Language Processing allow us to integrate areas of knowledge and provide tools to solve this problem. A methodological model is proposed to partially automate the stages of generation of Data Warehouse instances based on requirements.Sociedad Argentina de Informática e Investigación Operativa2021-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1-10http://sedici.unlp.edu.ar/handle/10915/140115enginfo:eu-repo/semantics/altIdentifier/url/http://50jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-01.pdfinfo:eu-repo/semantics/altIdentifier/issn/2683-8966info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:35:34Zoai:sedici.unlp.edu.ar:10915/140115Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:35:34.362SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Automatic generation of Data Warehouse Instances from Requirements
title Automatic generation of Data Warehouse Instances from Requirements
spellingShingle Automatic generation of Data Warehouse Instances from Requirements
Pizarro, Carlos
Ciencias Informáticas
Science
Data Warehouse
Natural Language
Business
Intelligence
title_short Automatic generation of Data Warehouse Instances from Requirements
title_full Automatic generation of Data Warehouse Instances from Requirements
title_fullStr Automatic generation of Data Warehouse Instances from Requirements
title_full_unstemmed Automatic generation of Data Warehouse Instances from Requirements
title_sort Automatic generation of Data Warehouse Instances from Requirements
dc.creator.none.fl_str_mv Pizarro, Carlos
Novillo Rangone, Gabriel
Montejano, Germán Antonio
Garis, Ana Gabriela
author Pizarro, Carlos
author_facet Pizarro, Carlos
Novillo Rangone, Gabriel
Montejano, Germán Antonio
Garis, Ana Gabriela
author_role author
author2 Novillo Rangone, Gabriel
Montejano, Germán Antonio
Garis, Ana Gabriela
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Science
Data Warehouse
Natural Language
Business
Intelligence
topic Ciencias Informáticas
Science
Data Warehouse
Natural Language
Business
Intelligence
dc.description.none.fl_txt_mv Data Warehouse projects in organizations as a basis for obtaining in-formation are having a great development today. The maturity of generation methodologies has reached significant acceptance. This allows us to focus on addressing the study of the lack of adaptability to the high dynamics of the changes in requirements of this type of projects. Data Science and Natural Language Processing allow us to integrate areas of knowledge and provide tools to solve this problem. A methodological model is proposed to partially automate the stages of generation of Data Warehouse instances based on requirements.
Sociedad Argentina de Informática e Investigación Operativa
description Data Warehouse projects in organizations as a basis for obtaining in-formation are having a great development today. The maturity of generation methodologies has reached significant acceptance. This allows us to focus on addressing the study of the lack of adaptability to the high dynamics of the changes in requirements of this type of projects. Data Science and Natural Language Processing allow us to integrate areas of knowledge and provide tools to solve this problem. A methodological model is proposed to partially automate the stages of generation of Data Warehouse instances based on requirements.
publishDate 2021
dc.date.none.fl_str_mv 2021-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/140115
url http://sedici.unlp.edu.ar/handle/10915/140115
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://50jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-01.pdf
info:eu-repo/semantics/altIdentifier/issn/2683-8966
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/3.0/
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
dc.format.none.fl_str_mv application/pdf
1-10
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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