Ontology-based process for recommending health websites

Autores
Rohrer, Edelweis; Motz, Regina; Díaz, Alicia
Año de publicación
2010
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Website content quality is particularly relevant in the health domain. A common user needs to retrieve health information that is precise, reliable and relevant to his/her profile. Website recommendation systems are an aid to get high quality health-related web sites according to the user's needs. However, in practice, it is not always evident how to describe recommendation criteria for health website. The goal of this paper is to describe, by an ontology network, the criteria used by a health website recommendation process. This ontology network conceptualizes the different domains that are involved in the Salus Recommendation Project as a set of interrelated ontologies.
Publicado en IFIP Advances in Information and Communication Technology book series (IFIPAICT, vol. 341).
Laboratorio de Investigación y Formación en Informática Avanzada
Materia
Ciencias Informáticas
Ontology network
Recommendation system
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/82478
Acceder
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spelling Ontology-based process for recommending health websitesRohrer, EdelweisMotz, ReginaDíaz, AliciaCiencias InformáticasOntology networkRecommendation systemWebsite content quality is particularly relevant in the health domain. A common user needs to retrieve health information that is precise, reliable and relevant to his/her profile. Website recommendation systems are an aid to get high quality health-related web sites according to the user's needs. However, in practice, it is not always evident how to describe recommendation criteria for health website. The goal of this paper is to describe, by an ontology network, the criteria used by a health website recommendation process. This ontology network conceptualizes the different domains that are involved in the Salus Recommendation Project as a set of interrelated ontologies.Publicado en <i>IFIP Advances in Information and Communication Technology</i> book series (IFIPAICT, vol. 341).Laboratorio de Investigación y Formación en Informática Avanzada2010info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf205-214http://sedici.unlp.edu.ar/handle/10915/82478enginfo:eu-repo/semantics/altIdentifier/isbn/978-3-642-16283-1info:eu-repo/semantics/altIdentifier/issn/1868-4238info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-16283-1_24info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:07:23Zoai:sedici.unlp.edu.ar:10915/82478Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:07:23.9SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Ontology-based process for recommending health websites
title Ontology-based process for recommending health websites
spellingShingle Ontology-based process for recommending health websites
Rohrer, Edelweis
Ciencias Informáticas
Ontology network
Recommendation system
title_short Ontology-based process for recommending health websites
title_full Ontology-based process for recommending health websites
title_fullStr Ontology-based process for recommending health websites
title_full_unstemmed Ontology-based process for recommending health websites
title_sort Ontology-based process for recommending health websites
dc.creator.none.fl_str_mv Rohrer, Edelweis
Motz, Regina
Díaz, Alicia
author Rohrer, Edelweis
author_facet Rohrer, Edelweis
Motz, Regina
Díaz, Alicia
author_role author
author2 Motz, Regina
Díaz, Alicia
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Ontology network
Recommendation system
topic Ciencias Informáticas
Ontology network
Recommendation system
dc.description.none.fl_txt_mv Website content quality is particularly relevant in the health domain. A common user needs to retrieve health information that is precise, reliable and relevant to his/her profile. Website recommendation systems are an aid to get high quality health-related web sites according to the user's needs. However, in practice, it is not always evident how to describe recommendation criteria for health website. The goal of this paper is to describe, by an ontology network, the criteria used by a health website recommendation process. This ontology network conceptualizes the different domains that are involved in the Salus Recommendation Project as a set of interrelated ontologies.
Publicado en <i>IFIP Advances in Information and Communication Technology</i> book series (IFIPAICT, vol. 341).
Laboratorio de Investigación y Formación en Informática Avanzada
description Website content quality is particularly relevant in the health domain. A common user needs to retrieve health information that is precise, reliable and relevant to his/her profile. Website recommendation systems are an aid to get high quality health-related web sites according to the user's needs. However, in practice, it is not always evident how to describe recommendation criteria for health website. The goal of this paper is to describe, by an ontology network, the criteria used by a health website recommendation process. This ontology network conceptualizes the different domains that are involved in the Salus Recommendation Project as a set of interrelated ontologies.
publishDate 2010
dc.date.none.fl_str_mv 2010
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info:eu-repo/semantics/publishedVersion
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-16283-1_24
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
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