Matienzo Cruz, Francisco Carlos2015-08-172015-08-172003-12-01http://hdl.handle.net/11285/570919The costs of the actual implementation of a data warehouse in organizations are huge. The process of implementing this type of technology in enterprises requires great effort and time. The next step, for implementing a data warehouse for Decision Support Systems, is a Knowledge base for Organizational Memory. The cost and process of implementing a Knowledge base is similar in costs and efforts of implementing a data warehouse, which for some organization the transition is frustrating. There is a way to reduce costs and effort in the transition from a data warehouse to a knowledge base using Ontologies as a Knowledge structure. The star joint schema from dimensional data warehouses is quite similar to an Ontology in several ways; such similarities provide a way for reusing information stored in a data warehouse to create Ontologies, and with it, facilitate the transition process. In this investigation a model is proposed to exploit such similarities between the star joint schema and Ontologies in order to provide means for facilitating the transition between decision support systems, to knowledge oriented systems.info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0Area::INGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::TECNOLOGÍA DE LOS ORDENADORES::BANCOS DE DATOSModel for ontologies development based on information reuse from a dimensional data warehouse-Edición ÚnicaTesis de maestría