Revue: | Computación y Sistemas |
Base de datos: | PERIÓDICA |
Número de sistema: | 000456965 |
ISSN: | 1405-5546 |
Autores: | Ramírez Noriega, Alan1 Juárez Ramírez, Reyes2 Tapia, Juan J3 Castillo, Víctor H4 Jiménez, Samantha3 |
Instituciones: | 1Universidad Autónoma de Sinaloa, Facultad de Ingeniería Mochis, Los Mochis, Sinaloa. México 2Universidad Autónoma de Baja California, Facultad de Ciencias Químicas e Ingeniería, La Paz, Baja California Sur. México 3Instituto Politécnico Nacional, Centro de Investigación y Desarrollo de Tecnología Digital, Ciudad de México. México 4Universidad de Colima, Facultad de Ingeniería Mecánica y Electrónica, Colima. México |
Año: | 2019 |
Periodo: | Oct-Dic |
Volumen: | 23 |
Número: | 4 |
Paginación: | 1275-1289 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Aplicado, descriptivo |
Resumen en inglés | Building Bayesian Networks automatically serves to reduce time and effort by defining variables and the quantitative relation between variables. However, the quantitative part is the most complicated to solve because of it is statistical information. This research proposes a method to construct the quantitative part of a Bayesian Network based on text mining and ontologies for Intelligent Tutoring Systems. The network structure is built based on the variables and relations of an ontology. Conditional Probability Tables (CPT) are created from Wikipedia information. The constructed CPT reach a correlation of 0.895 against the experts' opinion. This correlation is good due to the subjectivity in the evaluations. We conclude that using the text mining in Wikipedia and ontologies, it is possible to construct CPT that adequately represents knowledge in an educative environment |
Disciplinas: | Ciencias de la computación |
Palabras clave: | Inteligencia artificial, Procesamiento de datos, Programación, Redes, Método bayesiano, Probabilidad condicional, Ontología, Minería de texto, Wikipedia, Sistemas de tutoría inteligente |
Keyword: | Artificial intelligence, Data processing, Programming, Networks, Bayesian methods, Conditional probability, Ontology, Text mining, Wikipedia, Intelligent tutoring systems |
Texte intégral: | Texto completo (Ver HTML) Texto completo (Ver PDF) |