Faceted classification: Proposal of fundamental categories to organize thesis and dissertations in a digital library

Objective: This work presents a proposal of fundamental categories, based on the work of Ranganathan and the Classification Research Group, to be used to construct a faceted navigation interface for a digital library of thesis and dissertations. Methods: A research of applied nature, qualitative app...

Descripción completa

Detalles Bibliográficos
Autores: Pereira, Clayton Martins [UNESP], Moreira, Walter [UNESP], Segundo, José Eduardo Santarem
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:Brasil
Institución:Universidade Estadual Paulista (UNESP)
Repositorio:Repositório Institucional da UNESP
Idioma:portugués
OAI Identifier:oai:repositorio.unesp.br:11449/233218
Acceso en línea:http://dx.doi.org/10.5007/1518-2924.2021.e79427
http://hdl.handle.net/11449/233218
Access Level:acceso abierto
Palabra clave:Faceted Classification
Information Retrieval
Knowledge Organization
Meteorology
PMEST formula
Descripción
Sumario:Objective: This work presents a proposal of fundamental categories, based on the work of Ranganathan and the Classification Research Group, to be used to construct a faceted navigation interface for a digital library of thesis and dissertations. Methods: A research of applied nature, qualitative approach and exploratory type was carried out, which uses as methods the literature review, the documentary research and a domain analysis combining the bibliometric study and terminological study approaches. Results: Based on the domain analysis, as well as on the consulted theoretical framework, the following fundamental categories were created: Thing, Kind, Process, Operation, Product, By-product, Space and Time. Conclusions: The fundamental categories proposed in this work can contribute significantly to building a faceted search engine for retrieving theses and dissertations in a digital library. Thus, it is expected to eliminate the difficulties currently encountered by users when using a textual search field.