Knowledge mapping: identification of words through coocurrence

This paper proposes a procedure for literature research, having as its main result a mapping of the co-occurrence of words based on specific keywords. This procedure was developed to identify the main areas of research in research fields where the keywords have complex meanings and, often, are on pr...

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Detalles Bibliográficos
Autores: Inomata, Danielly Oliveira, Manhães, Mauricio Cordeiro, Fraga, Bruna Devens, Rados, Gregorio Jean Varvakis
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:Brasil
Institución:Universidade Estadual de Campinas (UNICAMP)
Repositorio:Revista Digital de Biblioteconomia e Ciência da Informação
Idioma:portugués
OAI Identifier:oai:ojs.periodicos.sbu.unicamp.br:article/2121
Acceso en línea:https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/2121
Access Level:acceso abierto
Palabra clave:Conhecimento
Literatura científica
Serviços
Mapeamento
Coocorrências
Knowledge. Scientific Literature. Service. Mapping. Coocurrence.
Knowledge
Descripción
Sumario:This paper proposes a procedure for literature research, having as its main result a mapping of the co-occurrence of words based on specific keywords. This procedure was developed to identify the main areas of research in research fields where the keywords have complex meanings and, often, are on pre-paradigmatic interpretation stages. As is the case of the word ‘service’ that serves as illustration for this article. The procedure maps the co-ccurrence of words, which can identify both weak and strong presence of specific words on academic literature production. The proposed procedure, combined with the support of experts, enables to identify solar, planetary and satellites words in relation to a specific academic research field. As a result, it creates a conceptual map of academic production in the research areas focused by the proposed procedure. Thereby, it corroborated some understandings found in the literature in respect to the terms identified in the co-occurrence, as in the case of service: science, management, engineering and design. However, the aforementioned results pointed to the need of further research about the term ‘service innovation’, due to the fact that it had a smaller index of occurrence when compared to other terms. It is recommended to do, when applying this procedure in future research, a time-based analysis of the academic.