%0 Conference Paper
%A Fernández-López, M.
%A Gómez-Pérez, A.
%A Ramos, JA.
%B Modeling Decisions for Artificial Intelligence (MDAI’2006)
%C Tarragona, España
%D 2006
%F upm:5117
%K oeg
%T OEGMerge: a case-based model for merging ontologies
%U https://oa.upm.es/5117/
%X No long ago ontology merging was a necessary activity, however, the current methods used in ontology merging present neither detailed cases nor an accurate formalization. For validating these methods, it is convenient to have a case list as complete as possible. In this paper we present the OEGMerge model, developed from the OEG (Ontological Engineering Group at UPM) experience, which describes precisely the merging casuistic and the actions to carry out in each case. In this first approach, the model covers only the taxonomy of concepts, attributes and relations.
%Z Ontology Engineering Group – OEG