Metamodeling of Bayesian networks for decision-support systems development
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 wh...
| Main Authors: | , |
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| Format: | info:eu-repo/semantics/report |
| Language: | English |
| Published: |
Grzegorz J. Nalepa, Joaquín Cañadas, Joachim Baumeister
2017
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| Online Access: | http://hdl.handle.net/10835/4695 |
| _version_ | 1789406431162662912 |
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| author | Del Águila Cano, Isabel María Sagrado Martínez, José del |
| author_facet | Del Águila Cano, Isabel María Sagrado Martínez, José del |
| author_sort | Del Águila Cano, Isabel María |
| collection | DSpace |
| description | 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. |
| format | info:eu-repo/semantics/report |
| id | oai:repositorio.ual.es:10835-4695 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2017 |
| publisher | Grzegorz J. Nalepa, Joaquín Cañadas, Joachim Baumeister |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-46952023-04-12T19:27:05Z Metamodeling of Bayesian networks for decision-support systems development Del Águila Cano, Isabel María Sagrado Martínez, José del 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. 2017-03-22T10:22:08Z 2017-03-22T10:22:08Z 2012-08-28 info:eu-repo/semantics/report Vol-949 1613-0073 http://hdl.handle.net/10835/4695 en info:eu-repo/semantics/openAccess Grzegorz J. Nalepa, Joaquín Cañadas, Joachim Baumeister Proceedings of the Workshop Knowledge Engineering and Software Engineering (KESE8) |
| spellingShingle | Del Águila Cano, Isabel María Sagrado Martínez, José del Metamodeling of Bayesian networks for decision-support systems development |
| title | Metamodeling of Bayesian networks for decision-support systems development |
| title_full | Metamodeling of Bayesian networks for decision-support systems development |
| title_fullStr | Metamodeling of Bayesian networks for decision-support systems development |
| title_full_unstemmed | Metamodeling of Bayesian networks for decision-support systems development |
| title_short | Metamodeling of Bayesian networks for decision-support systems development |
| title_sort | metamodeling of bayesian networks for decision-support systems development |
| url | http://hdl.handle.net/10835/4695 |
| work_keys_str_mv | AT delaguilacanoisabelmaria metamodelingofbayesiannetworksfordecisionsupportsystemsdevelopment AT sagradomartinezjosedel metamodelingofbayesiannetworksfordecisionsupportsystemsdevelopment |