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dc.date.accessioned 2012-09-18T15:47:37Z
dc.date.available 2012-09-18T15:47:37Z
dc.date.issued 2005
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/21128
dc.description.abstract Integrating data from a Federated System is a very complex process that involves a series of tasks. Characteristics such as autonomy of the information sources, their geographical distribution and heterogeneity are some of the main problems we face to perform the integration. In this paper we focus on the problem of heterogeneity, more specifically on semantic heterogeneity. The semantic heterogeneity makes the integration difficult because of its bearing problems on synonymous, generalization/specialization, etc. Here, we briefly explain our three level approach to solve these problems. Then we show the structure of software components used to implement our supporting tool. en
dc.format.extent 459-463 es
dc.language en es
dc.subject Federated Databases en
dc.subject SOFTWARE ENGINEERING es
dc.subject Ontology en
dc.subject Semantic Heterogeneity en
dc.title Towards an Ontology-based Integration of Federated Information Sources en
dc.type Objeto de conferencia es
sedici.identifier.isbn 950-665-337-2
sedici.creator.person Buccella, Agustina es
sedici.creator.person Cechich, Alejandra es
sedici.creator.person Brisaboa, Nieves R. es
sedici.description.note Eje: Ingeniería en Software 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 2005-05 es
sedici.relation.event VII 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) 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)