Metamodeling of Bayesian networks for decision-support systems development

dc.contributor.author	Del Águila Cano, Isabel María
dc.contributor.author	Sagrado Martínez, José del
dc.date.accessioned	2017-03-22T10:22:08Z
dc.date.available	2017-03-22T10:22:08Z
dc.date.issued	2012-08-28
dc.identifier.citation	Vol-949	es_ES
dc.identifier.issn	1613-0073
dc.identifier.uri	http://hdl.handle.net/10835/4695
dc.description.abstract	The 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.iso	en	es_ES
dc.publisher	Grzegorz J. Nalepa, Joaquín Cañadas, Joachim Baumeister	es_ES
dc.source	Proceedings of the Workshop Knowledge Engineering and Software Engineering (KESE8)	es_ES
dc.title	Metamodeling of Bayesian networks for decision-support systems development	es_ES
dc.type	info:eu-repo/semantics/report	es_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es_ES