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dc.contributor.authorDel Águila Cano, Isabel María
dc.contributor.authorSagrado Martínez, José del
dc.date.accessioned2017-03-22T10:22:08Z
dc.date.available2017-03-22T10:22:08Z
dc.date.issued2012-08-28
dc.identifier.citationVol-949es_ES
dc.identifier.issn1613-0073
dc.identifier.urihttp://hdl.handle.net/10835/4695
dc.description.abstractThe knowledge modeling and software modeling phases in Knowledge-Based System development are not integrable, in terms of representation, due to the different languages needed at the steps of the development. This paper focuses on bring closer these languages. By one hand, we define a meta model which contains the key concepts used in the definition of a knowledge model as a Bayesian network. On the other hand, we define an extension of UML using profiles that can bridge the gap in representation and facilitate the seamless incorporation of a knowledge model, as Bayesian network, in the context of a knowledge-based software development.es_ES
dc.language.isoenes_ES
dc.publisherGrzegorz J. Nalepa, Joaquín Cañadas, Joachim Baumeisteres_ES
dc.sourceProceedings of the Workshop Knowledge Engineering and Software Engineering (KESE8)es_ES
dc.titleMetamodeling of Bayesian networks for decision-support systems developmentes_ES
dc.typeinfo:eu-repo/semantics/reportes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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