An ontology-driven document retrieval strategy for organizational knowledge management systems

Autores
Toledo, Carlos Manuel; Ale, Mariel Alejandra; Chiotti, Omar Juan Alfredo; Galli, Maria Rosa
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Enterprises are inserted in a competitive environment in which knowledge is vital to survive in the current global market. Competition is no longer conceived as it was in traditional markets. In this global market, knowledge is considered an asset that has an economic value for an organization and a strategic resource used to increase productivity and offer stability in dynamic competitive environments. Such significance of knowledge implies the need for protecting this vital resource by safeguarding the right access, its persistence over time, and its adequate retrieval. In this work, we propose an organizational memory architecture, and annotation and retrieval information strategies based on domain ontologies that take in account complex words to retrieve information through natural language queries. To test these strategies, we implemented a flexible framework to experiment with knowledge retrieval approaches. Finally, experimental results are evaluated and analyzed through standard measures.
Fil: Toledo, Carlos Manuel. 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
Fil: Ale, Mariel Alejandra. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; 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
Fil: Galli, Maria Rosa. 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
DOCUMENT ANNOTATION
KNOWLEDGE MANAGEMENT FRAMEWORK
DOMAIN ONTOLOGY
KNOWLEDGE RETRIEVAL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/158841
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An ontology-driven document retrieval strategy for organizational knowledge management systemsToledo, Carlos ManuelAle, Mariel AlejandraChiotti, Omar Juan AlfredoGalli, Maria RosaDOCUMENT ANNOTATIONKNOWLEDGE MANAGEMENT FRAMEWORKDOMAIN ONTOLOGYKNOWLEDGE RETRIEVALhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Enterprises are inserted in a competitive environment in which knowledge is vital to survive in the current global market. Competition is no longer conceived as it was in traditional markets. In this global market, knowledge is considered an asset that has an economic value for an organization and a strategic resource used to increase productivity and offer stability in dynamic competitive environments. Such significance of knowledge implies the need for protecting this vital resource by safeguarding the right access, its persistence over time, and its adequate retrieval. In this work, we propose an organizational memory architecture, and annotation and retrieval information strategies based on domain ontologies that take in account complex words to retrieve information through natural language queries. To test these strategies, we implemented a flexible framework to experiment with knowledge retrieval approaches. Finally, experimental results are evaluated and analyzed through standard measures.Fil: Toledo, Carlos Manuel. 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; ArgentinaFil: Ale, Mariel Alejandra. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; 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; ArgentinaFil: Galli, Maria Rosa. 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; ArgentinaElsevier2011-12-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/158841Toledo, Carlos Manuel; Ale, Mariel Alejandra; Chiotti, Omar Juan Alfredo; Galli, Maria Rosa; An ontology-driven document retrieval strategy for organizational knowledge management systems; Elsevier; Electronic Notes in Theoretical Computer Science; 281; 29-12-2011; 21-341571-0661CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.entcs.2011.11.023info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1571066111001721info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:39:17Zoai:ri.conicet.gov.ar:11336/158841instacron: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 10:39:17.797CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An ontology-driven document retrieval strategy for organizational knowledge management systems
title An ontology-driven document retrieval strategy for organizational knowledge management systems
spellingShingle An ontology-driven document retrieval strategy for organizational knowledge management systems
Toledo, Carlos Manuel
DOCUMENT ANNOTATION
KNOWLEDGE MANAGEMENT FRAMEWORK
DOMAIN ONTOLOGY
KNOWLEDGE RETRIEVAL
title_short An ontology-driven document retrieval strategy for organizational knowledge management systems
title_full An ontology-driven document retrieval strategy for organizational knowledge management systems
title_fullStr An ontology-driven document retrieval strategy for organizational knowledge management systems
title_full_unstemmed An ontology-driven document retrieval strategy for organizational knowledge management systems
title_sort An ontology-driven document retrieval strategy for organizational knowledge management systems
dc.creator.none.fl_str_mv Toledo, Carlos Manuel
Ale, Mariel Alejandra
Chiotti, Omar Juan Alfredo
Galli, Maria Rosa
author Toledo, Carlos Manuel
author_facet Toledo, Carlos Manuel
Ale, Mariel Alejandra
Chiotti, Omar Juan Alfredo
Galli, Maria Rosa
author_role author
author2 Ale, Mariel Alejandra
Chiotti, Omar Juan Alfredo
Galli, Maria Rosa
author2_role author
author
author
dc.subject.none.fl_str_mv DOCUMENT ANNOTATION
KNOWLEDGE MANAGEMENT FRAMEWORK
DOMAIN ONTOLOGY
KNOWLEDGE RETRIEVAL
topic DOCUMENT ANNOTATION
KNOWLEDGE MANAGEMENT FRAMEWORK
DOMAIN ONTOLOGY
KNOWLEDGE RETRIEVAL
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Enterprises are inserted in a competitive environment in which knowledge is vital to survive in the current global market. Competition is no longer conceived as it was in traditional markets. In this global market, knowledge is considered an asset that has an economic value for an organization and a strategic resource used to increase productivity and offer stability in dynamic competitive environments. Such significance of knowledge implies the need for protecting this vital resource by safeguarding the right access, its persistence over time, and its adequate retrieval. In this work, we propose an organizational memory architecture, and annotation and retrieval information strategies based on domain ontologies that take in account complex words to retrieve information through natural language queries. To test these strategies, we implemented a flexible framework to experiment with knowledge retrieval approaches. Finally, experimental results are evaluated and analyzed through standard measures.
Fil: Toledo, Carlos Manuel. 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
Fil: Ale, Mariel Alejandra. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; 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
Fil: Galli, Maria Rosa. 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 Enterprises are inserted in a competitive environment in which knowledge is vital to survive in the current global market. Competition is no longer conceived as it was in traditional markets. In this global market, knowledge is considered an asset that has an economic value for an organization and a strategic resource used to increase productivity and offer stability in dynamic competitive environments. Such significance of knowledge implies the need for protecting this vital resource by safeguarding the right access, its persistence over time, and its adequate retrieval. In this work, we propose an organizational memory architecture, and annotation and retrieval information strategies based on domain ontologies that take in account complex words to retrieve information through natural language queries. To test these strategies, we implemented a flexible framework to experiment with knowledge retrieval approaches. Finally, experimental results are evaluated and analyzed through standard measures.
publishDate 2011
dc.date.none.fl_str_mv 2011-12-29
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/11336/158841
Toledo, Carlos Manuel; Ale, Mariel Alejandra; Chiotti, Omar Juan Alfredo; Galli, Maria Rosa; An ontology-driven document retrieval strategy for organizational knowledge management systems; Elsevier; Electronic Notes in Theoretical Computer Science; 281; 29-12-2011; 21-34
1571-0661
CONICET Digital
CONICET
url http://hdl.handle.net/11336/158841
identifier_str_mv Toledo, Carlos Manuel; Ale, Mariel Alejandra; Chiotti, Omar Juan Alfredo; Galli, Maria Rosa; An ontology-driven document retrieval strategy for organizational knowledge management systems; Elsevier; Electronic Notes in Theoretical Computer Science; 281; 29-12-2011; 21-34
1571-0661
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.entcs.2011.11.023
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1571066111001721
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
_version_ 1844614417937858560
score 13.070432

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