Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering

Autores
Brusa, Graciela; Caliusco, Maria Laura; Chiotti, Omar Juan Alfredo
Año de publicación
2007
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Nowadays, organizational innovation constitutes the government challenges for providing better and more efficient services to citizens, enterprises or other public offices. E-government seems to be an excellent opportunity to work on this way. The applications that support front-end services delivered to users have to access information systems of multiple government areas. This is a significant problem for e-government back-office since multiple platforms and technologies coexist. Moreover, in the back-office there is a great volume of data that is implicit in the software applications that support administration activities. In this context, the main requirement is to make available the data managed in the back-office for the e-government users in a fast and precise way, without misunderstanding. To this aim, it is necessary to provide an infrastructure that make explicit the knowledge stored in different government areas and deliver this knowledge to the users. This paper presents an approach on how ontological engineering techniques can be applied to solving the problems of content discovery, aggregation, and sharing in the e-government back-office. This approach is constituted by a specific process to develop an ontology in the public sector and an ontology-based architecture. In order to present the process characteristics, a case study applied to a local government domain is analyzed. This domain is the budget and financial information of Santa Fe Province (Argentine).
Fil: Brusa, Graciela. Dirección Provincial de Informática; Santa Fe; Argentina
Fil: Caliusco, Maria Laura. Universidad Tecnológica Nacional; Argentina
Fil: Chiotti, Omar Juan Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Materia
knowledge
sharing
e-goverment
system
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/83809
Acceder
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spelling Enabling Knowledge Sharing within e-Government Back-Office Through Ontological EngineeringBrusa, GracielaCaliusco, Maria LauraChiotti, Omar Juan Alfredoknowledgesharinge-govermentsystemhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Nowadays, organizational innovation constitutes the government challenges for providing better and more efficient services to citizens, enterprises or other public offices. E-government seems to be an excellent opportunity to work on this way. The applications that support front-end services delivered to users have to access information systems of multiple government areas. This is a significant problem for e-government back-office since multiple platforms and technologies coexist. Moreover, in the back-office there is a great volume of data that is implicit in the software applications that support administration activities. In this context, the main requirement is to make available the data managed in the back-office for the e-government users in a fast and precise way, without misunderstanding. To this aim, it is necessary to provide an infrastructure that make explicit the knowledge stored in different government areas and deliver this knowledge to the users. This paper presents an approach on how ontological engineering techniques can be applied to solving the problems of content discovery, aggregation, and sharing in the e-government back-office. This approach is constituted by a specific process to develop an ontology in the public sector and an ontology-based architecture. In order to present the process characteristics, a case study applied to a local government domain is analyzed. This domain is the budget and financial information of Santa Fe Province (Argentine).Fil: Brusa, Graciela. Dirección Provincial de Informática; Santa Fe; ArgentinaFil: Caliusco, Maria Laura. Universidad Tecnológica Nacional; ArgentinaFil: Chiotti, Omar Juan Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaUniversidad de Talca2007-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/83809Brusa, Graciela; Caliusco, Maria Laura; Chiotti, Omar Juan Alfredo; Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering; Universidad de Talca; Journal of Theoretical and Applied Electronic Commerce Research; 2; 1; 12-2007; 33-480718?1876CONICET DigitalCONICETenginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:12:48Zoai:ri.conicet.gov.ar:11336/83809instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:12:48.963CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering
title Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering
spellingShingle Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering
Brusa, Graciela
knowledge
sharing
e-goverment
system
title_short Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering
title_full Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering
title_fullStr Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering
title_full_unstemmed Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering
title_sort Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering
dc.creator.none.fl_str_mv Brusa, Graciela
Caliusco, Maria Laura
Chiotti, Omar Juan Alfredo
author Brusa, Graciela
author_facet Brusa, Graciela
Caliusco, Maria Laura
Chiotti, Omar Juan Alfredo
author_role author
author2 Caliusco, Maria Laura
Chiotti, Omar Juan Alfredo
author2_role author
author
dc.subject.none.fl_str_mv knowledge
sharing
e-goverment
system
topic knowledge
sharing
e-goverment
system
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Nowadays, organizational innovation constitutes the government challenges for providing better and more efficient services to citizens, enterprises or other public offices. E-government seems to be an excellent opportunity to work on this way. The applications that support front-end services delivered to users have to access information systems of multiple government areas. This is a significant problem for e-government back-office since multiple platforms and technologies coexist. Moreover, in the back-office there is a great volume of data that is implicit in the software applications that support administration activities. In this context, the main requirement is to make available the data managed in the back-office for the e-government users in a fast and precise way, without misunderstanding. To this aim, it is necessary to provide an infrastructure that make explicit the knowledge stored in different government areas and deliver this knowledge to the users. This paper presents an approach on how ontological engineering techniques can be applied to solving the problems of content discovery, aggregation, and sharing in the e-government back-office. This approach is constituted by a specific process to develop an ontology in the public sector and an ontology-based architecture. In order to present the process characteristics, a case study applied to a local government domain is analyzed. This domain is the budget and financial information of Santa Fe Province (Argentine).
Fil: Brusa, Graciela. Dirección Provincial de Informática; Santa Fe; Argentina
Fil: Caliusco, Maria Laura. Universidad Tecnológica Nacional; Argentina
Fil: Chiotti, Omar Juan Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
description Nowadays, organizational innovation constitutes the government challenges for providing better and more efficient services to citizens, enterprises or other public offices. E-government seems to be an excellent opportunity to work on this way. The applications that support front-end services delivered to users have to access information systems of multiple government areas. This is a significant problem for e-government back-office since multiple platforms and technologies coexist. Moreover, in the back-office there is a great volume of data that is implicit in the software applications that support administration activities. In this context, the main requirement is to make available the data managed in the back-office for the e-government users in a fast and precise way, without misunderstanding. To this aim, it is necessary to provide an infrastructure that make explicit the knowledge stored in different government areas and deliver this knowledge to the users. This paper presents an approach on how ontological engineering techniques can be applied to solving the problems of content discovery, aggregation, and sharing in the e-government back-office. This approach is constituted by a specific process to develop an ontology in the public sector and an ontology-based architecture. In order to present the process characteristics, a case study applied to a local government domain is analyzed. This domain is the budget and financial information of Santa Fe Province (Argentine).
publishDate 2007
dc.date.none.fl_str_mv 2007-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/83809
Brusa, Graciela; Caliusco, Maria Laura; Chiotti, Omar Juan Alfredo; Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering; Universidad de Talca; Journal of Theoretical and Applied Electronic Commerce Research; 2; 1; 12-2007; 33-48
0718?1876
CONICET Digital
CONICET
url http://hdl.handle.net/11336/83809
identifier_str_mv Brusa, Graciela; Caliusco, Maria Laura; Chiotti, Omar Juan Alfredo; Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering; Universidad de Talca; Journal of Theoretical and Applied Electronic Commerce Research; 2; 1; 12-2007; 33-48
0718?1876
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad de Talca
publisher.none.fl_str_mv Universidad de Talca
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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