Design of a Book and Thesis Recommendation System based on Ontologies associated with Thesaurus: The Case of the Libraries of the UNMSM

Descripción del Articulo

The increase in the number of books, texts, theses and others makes traditional search systems of literature on a particular subject are complex and slow, not always obtaining good results. Even worse if it is about recommending a particular book, based on knowledge of the quality of its content. Th...

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Detalles Bibliográficos
Autores: Huamán Acuña, Denis G., Cánepa Pérez, Carlos A.
Formato: artículo
Fecha de Publicación:2018
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/15379
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/rpcsis/article/view/15379
Nivel de acceso:acceso abierto
Materia:Recommendation Systems
library
ontology
thesaurus
Sistemas de Recomendación
biblioteca
ontología
tesauro
Descripción
Sumario:The increase in the number of books, texts, theses and others makes traditional search systems of literature on a particular subject are complex and slow, not always obtaining good results. Even worse if it is about recommending a particular book, based on knowledge of the quality of its content. This is the very particular case of the libraries of the UNMSM, since there is no automated help for the recommendation of books and physical theses.Therefore, it is proposed to design and implement a book and thesis recommendation system for UNMSM libraries through the recommendation technique based on Ontologies associated with Thesauri. An ontological model was designed for the recommendation of books and a model of recommendation for the theses because the objective of the recommendation of both literatures is different, while the book recommendation seeks to increase the knowledge of the users, the thesis recommendation helps to select a research topic or find a bibliographic reference adjusted to the topic of user research.
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