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dc.date.accessioned 2012-10-19T11:38:23Z
dc.date.available 2012-10-19T11:38:23Z
dc.date.issued 2003-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/22637
dc.description.abstract 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. en
dc.format.extent 905-916 es
dc.language en es
dc.subject base de datos es
dc.subject Data Integration en
dc.subject Semantics es
dc.subject SOFTWARE ENGINEERING es
dc.subject Ontology en
dc.subject Semantic Heterogeneity en
dc.subject Context en
dc.subject Federated Databases en
dc.subject Federated Systems en
dc.title An ontological approach to federated 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: Ingeniería de Software y Bases de Datos (ISBD) 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 2003-10
sedici.relation.event IX Congreso Argentino de 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) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)