Applying an ontology on 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
- The term “Federated Databases” refers to the data integration of distributed, autonomous and heterogeneous databases. However, a federation can also include information systems, not only databases. When integrating data, several issues must be addressed. Here, we focus on the problem of heterogeneity, more specifically on semantic heterogeneity – that is problems related to semantically equivalent concepts or semantically related/unrelated concepts. In order to address this problem, we apply the idea of ontologies as a tool for data integration. In this paper, we explain this concept and we briefly describe a method for constructing an ontology by using a hybrid ontology approach.
Eje: Bases de datos
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
base de datos
Semantics
Federated Databases
Ontology
Semantic Heterogeneity - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/21404
Ver los metadatos del registro completo
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Applying an ontology on data integrationBuccella, AgustinaCechich, AlejandraBrisaboa, Nieves R.Ciencias Informáticasbase de datosSemanticsFederated DatabasesOntologySemantic HeterogeneityThe term “Federated Databases” refers to the data integration of distributed, autonomous and heterogeneous databases. However, a federation can also include information systems, not only databases. When integrating data, several issues must be addressed. Here, we focus on the problem of heterogeneity, more specifically on semantic heterogeneity – that is problems related to semantically equivalent concepts or semantically related/unrelated concepts. In order to address this problem, we apply the idea of ontologies as a tool for data integration. In this paper, we explain this concept and we briefly describe a method for constructing an ontology by using a hybrid ontology approach.Eje: Bases de datosRed de Universidades con Carreras en Informática (RedUNCI)2003-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf76-79http://sedici.unlp.edu.ar/handle/10915/21404enginfo: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:UNLP2025-10-15T10:47:15Zoai:sedici.unlp.edu.ar:10915/21404Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:47:15.347SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Applying an ontology on data integration |
title |
Applying an ontology on data integration |
spellingShingle |
Applying an ontology on data integration Buccella, Agustina Ciencias Informáticas base de datos Semantics Federated Databases Ontology Semantic Heterogeneity |
title_short |
Applying an ontology on data integration |
title_full |
Applying an ontology on data integration |
title_fullStr |
Applying an ontology on data integration |
title_full_unstemmed |
Applying an ontology on data integration |
title_sort |
Applying an ontology on 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 Federated Databases Ontology Semantic Heterogeneity |
topic |
Ciencias Informáticas base de datos Semantics Federated Databases Ontology Semantic Heterogeneity |
dc.description.none.fl_txt_mv |
The term “Federated Databases” refers to the data integration of distributed, autonomous and heterogeneous databases. However, a federation can also include information systems, not only databases. When integrating data, several issues must be addressed. Here, we focus on the problem of heterogeneity, more specifically on semantic heterogeneity – that is problems related to semantically equivalent concepts or semantically related/unrelated concepts. In order to address this problem, we apply the idea of ontologies as a tool for data integration. In this paper, we explain this concept and we briefly describe a method for constructing an ontology by using a hybrid ontology approach. Eje: Bases de datos Red de Universidades con Carreras en Informática (RedUNCI) |
description |
The term “Federated Databases” refers to the data integration of distributed, autonomous and heterogeneous databases. However, a federation can also include information systems, not only databases. When integrating data, several issues must be addressed. Here, we focus on the problem of heterogeneity, more specifically on semantic heterogeneity – that is problems related to semantically equivalent concepts or semantically related/unrelated concepts. In order to address this problem, we apply the idea of ontologies as a tool for data integration. In this paper, we explain this concept and we briefly describe a method for constructing an ontology by using a hybrid ontology approach. |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003-05 |
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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 |
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dc.language.none.fl_str_mv |
eng |
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eng |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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