A semi-automatic method for ontology mapping

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 thi...

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Autores principales: Perez, Laura Haide, Cechich, Alejandra, Buccella, Agustina
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2007
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Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/21776
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Sumario: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.