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dc.date.accessioned 2012-09-25T12:02:46Z
dc.date.available 2012-09-25T12:02:46Z
dc.date.issued 2003
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/21404
dc.description.abstract 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. en
dc.format.extent 76-79 es
dc.language en es
dc.subject base de datos es
dc.subject Semantics es
dc.subject Federated Databases en
dc.subject Ontology en
dc.subject Semantic Heterogeneity en
dc.title Applying an ontology on data integration en
dc.type Objeto de conferencia es
sedici.creator.person Buccella, Agustina es
sedici.creator.person Cechich, Alejandra es
sedici.creator.person Brisaboa, Nieves R. es
sedici.description.note Eje: Bases de datos es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2003-05 es
sedici.relation.event V Workshop de Investigadores en Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)