An ontological approach to federated data integration

Autores
Buccella, Agustina; Cechich, Alejandra; Brisaboa, Nieves R.
Año de publicación
2003
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
During the last years a lot of projects and lines of research have emerged from different proposals trying to find the best way to reach data integration. Two powerful techniques have appeared separately – ontology and contextual information – in order to help solve semantic heterogeneity problems. In our proposal we combine both techniques exploiting the advantages of each of them. We propose a new approach, in which three main components work together in order to achieve a consistent integration. Each component contains some type of semantic information modeled by ontologies and contexts. Our approach helps the building of each of the components and address other types of heterogeneity such as ontological heterogeneity.
Eje: Ingeniería de Software y Bases de Datos (ISBD)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
base de datos
Semantics
SOFTWARE ENGINEERING
Data Integration
Ontology
Semantic Heterogeneity
Context
Federated Databases
Federated Systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/22637
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/22637
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling An ontological approach to federated data integrationBuccella, AgustinaCechich, AlejandraBrisaboa, Nieves R.Ciencias Informáticasbase de datosSemanticsSOFTWARE ENGINEERINGData IntegrationOntologySemantic HeterogeneityContextFederated DatabasesFederated SystemsDuring the last years a lot of projects and lines of research have emerged from different proposals trying to find the best way to reach data integration. Two powerful techniques have appeared separately – ontology and contextual information – in order to help solve semantic heterogeneity problems. In our proposal we combine both techniques exploiting the advantages of each of them. We propose a new approach, in which three main components work together in order to achieve a consistent integration. Each component contains some type of semantic information modeled by ontologies and contexts. Our approach helps the building of each of the components and address other types of heterogeneity such as ontological heterogeneity.Eje: Ingeniería de Software y Bases de Datos (ISBD)Red de Universidades con Carreras en Informática (RedUNCI)2003-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf905-916http://sedici.unlp.edu.ar/handle/10915/22637enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:47:46Zoai:sedici.unlp.edu.ar:10915/22637Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:47:46.907SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv An ontological approach to federated data integration
title An ontological approach to federated data integration
spellingShingle An ontological approach to federated data integration
Buccella, Agustina
Ciencias Informáticas
base de datos
Semantics
SOFTWARE ENGINEERING
Data Integration
Ontology
Semantic Heterogeneity
Context
Federated Databases
Federated Systems
title_short An ontological approach to federated data integration
title_full An ontological approach to federated data integration
title_fullStr An ontological approach to federated data integration
title_full_unstemmed An ontological approach to federated data integration
title_sort An ontological approach to federated data integration
dc.creator.none.fl_str_mv Buccella, Agustina
Cechich, Alejandra
Brisaboa, Nieves R.
author Buccella, Agustina
author_facet Buccella, Agustina
Cechich, Alejandra
Brisaboa, Nieves R.
author_role author
author2 Cechich, Alejandra
Brisaboa, Nieves R.
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
base de datos
Semantics
SOFTWARE ENGINEERING
Data Integration
Ontology
Semantic Heterogeneity
Context
Federated Databases
Federated Systems
topic Ciencias Informáticas
base de datos
Semantics
SOFTWARE ENGINEERING
Data Integration
Ontology
Semantic Heterogeneity
Context
Federated Databases
Federated Systems
dc.description.none.fl_txt_mv During the last years a lot of projects and lines of research have emerged from different proposals trying to find the best way to reach data integration. Two powerful techniques have appeared separately – ontology and contextual information – in order to help solve semantic heterogeneity problems. In our proposal we combine both techniques exploiting the advantages of each of them. We propose a new approach, in which three main components work together in order to achieve a consistent integration. Each component contains some type of semantic information modeled by ontologies and contexts. Our approach helps the building of each of the components and address other types of heterogeneity such as ontological heterogeneity.
Eje: Ingeniería de Software y Bases de Datos (ISBD)
Red de Universidades con Carreras en Informática (RedUNCI)
description During the last years a lot of projects and lines of research have emerged from different proposals trying to find the best way to reach data integration. Two powerful techniques have appeared separately – ontology and contextual information – in order to help solve semantic heterogeneity problems. In our proposal we combine both techniques exploiting the advantages of each of them. We propose a new approach, in which three main components work together in order to achieve a consistent integration. Each component contains some type of semantic information modeled by ontologies and contexts. Our approach helps the building of each of the components and address other types of heterogeneity such as ontological heterogeneity.
publishDate 2003
dc.date.none.fl_str_mv 2003-10
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/10915/22637
url http://sedici.unlp.edu.ar/handle/10915/22637
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
905-916
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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score 13.22299

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