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dc.date.accessioned 2012-09-28T17:57:10Z
dc.date.available 2012-09-28T17:57:10Z
dc.date.issued 2007
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/21776
dc.description.abstract Ontology mapping involves the task of finding similarities among overlapping sources by using ontologies. In a Federated System in which distributed, autonomous and heterogeneous information sources must be integrated, ontologies have emerged as tools to solve semantic heterogeneity problems. In this paper we propose a three-level approach that provides a semi-automatic method to ontology mapping. It performs some tasks automatically and guides the user in performing other tasks for which his/her intervention is required. Finally, a plug-in of the ontology editor, Protégé, is presented showing how the method is implemented through a case study. es
dc.format.extent 213-224 es
dc.language en es
dc.subject Data mapping es
dc.subject SOFTWARE ENGINEERING es
dc.title A semi-automatic method for ontology mapping en
dc.type Objeto de conferencia es
sedici.creator.person Perez, Laura Haide es
sedici.creator.person Cechich, Alejandra es
sedici.creator.person Buccella, Agustina es
sedici.description.note IV Workshop de Ingeniería de Software y Base 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.relation.event XIII 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)