Automatic suggestions to improve the quality of scatterplots during its creation

• Urribarri, Dana ^[1] ; Larrea, Martín L ^[1] ; Castro, Silvia M ^[1]
  1. [1] Universidad Nacional del Sur

     Universidad Nacional del Sur

     Argentina

     
• Localización: Journal of Computer Science and Technology, ISSN-e 1666-6038, Vol. 19, Nº. 2, 2019 (Ejemplar dedicado a: Fiftieth Issue; e13), págs. 100-109
• Idioma: inglés
• DOI: 10.24215/16666038.19.e10
• Títulos paralelos:
  • Sugerencias automáticas para mejorar la calidad de los scatterplots durante su creación
• Enlaces
  • Texto completo
• Resumen
  • español

    El proceso de visualización es una actividad de exploración muy compleja e, incluso para usuarios expertos, puede ser difícil obtener como resultado una visualización efectiva. Este resultado depende de las decisiones que el usuario toma a lo largo del proceso de visualización. Una forma de mejorar la probabilidad de lograr un buen resultado es ayudar al usuario en la configuración y preparación de la visualización. Nuestra propuesta consiste en ofrecer sugerencias sobre cómo mejorar la visualización mientras el usuario la está creando. Estas sugerencias se basan en las decisiones que el usuario tomó y se logran mediante la integración del razonamiento semántico al proceso de visualización. En este artículo, presentamos un caso de estudio para la visualización de scatterplots, en el cual se muestra cómo se asiste al usuario, mediante la combinación de ontologías con un razonador semántico, para logar una visualización efectiva.

  • English

    The visualization process is a very complex exploration activity and, even for skilled users, it can be difficult to produce an effective visualization. The result of such process depends on the user's decisions along it. One way to improve the probability of achieving a useful outcome is to assist the user in the configuration and preparation of the visualization. Our proposal consists in live suggestions on how to improve the visualization. These live suggestions are based on the user decisions, and achieved by the integration of semantic reasoning into the visualization process. In this paper, we present a case study for scatterplots visualization that combines ontologies with a semantic reasoner and helps the user in the generation of an effective visualization.

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