Mostrando 5 resultados de: 5
Filtros aplicados
Área temáticas
Funcionamiento de bibliotecas y archivos(4)
Escuelas y sus actividades; educación especial(2)
Biblioteconomía y Documentación informatica(1)
Ciencias de la computación(1)
Dirección general(1)
Enhanced Books Recommendation Using Clustering Techniques and Knowledge Graphs
Conference ObjectAbstract: Nowadays, there is an increased interest in recommender systems in different fields, since they alloPalabras claves:Books, COLLABORATIVE FILTERING, K-Means, Knowledge Graph, Recommender systemAutores:Chizaiza J., Priscila Valdiviezo-DiazFuentes:googlescopusDomain categorization of open educational resources based on linked data
ArticleAbstract: One of the main objectives of open knowledge, and specifically of Open Educational Resource movementPalabras claves:classification, dbpedia, Discovery of resources, Knowledge area, Linked data, OCW, Thesaurus, Web of dataAutores:Chizaiza J., E. Tovar, J. Chicaiza Espinosa, J. Lopez Vargas, Janneth Chicaiza, Jorge Lopez-Vargas, NELSON PIEDRAFuentes:googlerraaescopusOpen education practices as answer to new demands of training in entrepreneurship competences: The role of recommender systems
Conference ObjectAbstract: Entrepreneurship in Europe is a priority as a powerful driver of economic growth and job creation. TPalabras claves:Competences, entrepreneurship, Linked data, OEP, OER, Open Educational Practice, Recommender systemAutores:Chizaiza J., E. Tovar, J. Chicaiza Espinosa, J. Lopez Vargas, Janneth Chicaiza, Jorge Lopez-Vargas, NELSON PIEDRAFuentes:googlerraaescopusUsing domain ontologies for text classification. A use case to classify computer science papers
Conference ObjectAbstract: The web facilitates the creation, publication, and exchange of a wide variety of information. ParticPalabras claves:Computer science, domain ontology, Scholarly production, SCOPUS, Text classificationAutores:Chizaiza J., Janneth Chicaiza, Ruth ReateguiFuentes:googlescopusTopic Modeling for Automatically Identification of STEM Barriers
Conference ObjectAbstract: Topic modeling allows identifying topics automatically from a set of documents. Latent Dirichlet AllPalabras claves:Lda, STEM, Topic modeling, WomenAutores:Chizaiza J., Janneth Chicaiza, Ruth Reategui, Ximena Bricen̄oFuentes:googlescopus