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dc.contributor.authorOlivé Ramon, Antoni
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.identifier.citationOlivé, A. A universal ontology-based approach to data integration. "Enterprise modelling and information systems architectures: International journal of conceptual modeling", 27 Febrer 2018, vol. 13, p. 110-119.
dc.description.abstractOne of the main problems in building data integration systems is that of semantic integration. It has been acknowledged that the problem would not exist if all systems were developed using the same global schema, but so far, such global schema has been considered unfeasible in practice. However, in our previous work, we have argued that given the current state-of-the-art, a global schema may be feasible now, and we have put forward a vision of a Universal Ontology (UO) that may be desirable, feasible, and viable. One of the reasons why the UO may be desirable is that it might solve the semantic integration problem. The objective of this paper is to show that indeed the UO could solve, or at least greatly alleviate, the semantic integration problem. We do so by presenting an approach to semantic integration based on the UO that requires much less effort than other approaches.
dc.format.extent10 p.
dc.rightsAttribution-ShareAlike 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject.lcshOntologies (Information retrieval)
dc.subject.otherUniversal ontology
dc.subject.otherData integration
dc.subject.otherMediated schema
dc.subject.otherConceptual modelling
dc.titleA universal ontology-based approach to data integration
dc.subject.lemacOntologies (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. IMP - Information Modeling and Processing
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
local.citation.authorOlivé, A.
local.citation.publicationNameEnterprise modelling and information systems architectures: International journal of conceptual modeling

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