Técnicas para la visualización de dominios científicos y tecnológicos

• Autores: Maidelyn Díaz Pérez, Félix de Moya-Anegón , Humberto Andrés Carrillo-Calvet
• Localización: Investigación bibliotecológica, ISSN 0187-358X, ISSN-e 2448-8321, Vol. 31, Nº. Extra 0, 2017, págs. 17-42
• Idioma: español
• DOI: 10.22201/iibi.24488321xe.2017.nesp1.57884
• Títulos paralelos:
  • Techniques to visualize of technology and scientific domains
• Enlaces
  • Texto completo
• Dialnet Métricas: 6 Citas
• Resumen
  • español

    Resumen Esta investigación consiste en una revisión de aspectos considerados como los más importantes en el desarrollo y evolución de la visualización de información en la representación de dominios científicos. Su objetivo es distinguir las técnicas más apropiadas para visualizar dominios, pero, en este caso, no de información científica (artículos), sino de información tecnológica (patentes). Esta investigación compila teorías, tendencias y contribuciones relevantes sobre visualización de información, en particular análisis referentes a la visualización bibliométrica y algunas apreciaciones significativas sobre las principales técnicas de visualización utilizadas para el análisis de dominios científicos, principalmente tecnológicos. Esto permite llegar a conclusiones que asisten la selección de las técnicas más adecuadas para visualizar la producción tecnológica de diferentes dominios, teniendo como valor agregado un inventario de las principales tendencias científicas y tecnológicas más relevantes en la visualización de dominios en el campo de la ciencia de la información.

  • English

    Abstract This research consists of a review of issues considered most important in the development and evolution of the information display in the representation of scientific domains. It aims to distinguish the most appropriate techniques to display domains, but in this case, no Scientific Information (articles) but of Information Technology (patents). This research compiled theories, trends and relevant contributions on information visualization, especially concerning bibliometric analysis and display some significant insights into the main visualization techniques used for analysis, mainly technological and scientific domains. This allows conclusions to attend the selection of the most appropriate techniques to display the technological production of different domains, taking as an added value an inventory of the main display most relevant domains in the field of information science and technology trends.

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