Automatic Suggestions to Improve the Quality of Scatterplots during its Creation: a Case Study of Ontology and Semantic Reasoning Applied to Visualization

The process of creating a visualization is a very complex exploration activity and, even for skilled users, it can be difficult to produce an effective visualization. Since the result of such a process depends on the user’s decisions along it, one way to improve the probability of achieving a usefu...

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Detalles Bibliográficos
Autores principales:	Urribarri, Dana K., Larrea, Martín Leonardo, Castro, Silvia Mabel
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2019
Materias:	Ciencias Informáticas Ontology Scatterplot Semantic reasoner Visualization quality prediction Ontología Predicción de calidad Razonador semántico Visualizaciones basadas en semántica
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/87761
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-87761
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Ontology Scatterplot Semantic reasoner Visualization quality prediction Ontología Predicción de calidad Razonador semántico Visualizaciones basadas en semántica
spellingShingle	Ciencias Informáticas Ontology Scatterplot Semantic reasoner Visualization quality prediction Ontología Predicción de calidad Razonador semántico Visualizaciones basadas en semántica Urribarri, Dana K. Larrea, Martín Leonardo Castro, Silvia Mabel Automatic Suggestions to Improve the Quality of Scatterplots during its Creation: a Case Study of Ontology and Semantic Reasoning Applied to Visualization
topic_facet	Ciencias Informáticas Ontology Scatterplot Semantic reasoner Visualization quality prediction Ontología Predicción de calidad Razonador semántico Visualizaciones basadas en semántica
description	The process of creating a visualization is a very complex exploration activity and, even for skilled users, it can be difficult to produce an effective visualization. Since the result of such a 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 are 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.
format	Articulo Articulo
author	Urribarri, Dana K. Larrea, Martín Leonardo Castro, Silvia Mabel
author_facet	Urribarri, Dana K. Larrea, Martín Leonardo Castro, Silvia Mabel
author_sort	Urribarri, Dana K.
title	Automatic Suggestions to Improve the Quality of Scatterplots during its Creation: a Case Study of Ontology and Semantic Reasoning Applied to Visualization
title_short	Automatic Suggestions to Improve the Quality of Scatterplots during its Creation: a Case Study of Ontology and Semantic Reasoning Applied to Visualization
title_full	Automatic Suggestions to Improve the Quality of Scatterplots during its Creation: a Case Study of Ontology and Semantic Reasoning Applied to Visualization
title_fullStr	Automatic Suggestions to Improve the Quality of Scatterplots during its Creation: a Case Study of Ontology and Semantic Reasoning Applied to Visualization
title_full_unstemmed	Automatic Suggestions to Improve the Quality of Scatterplots during its Creation: a Case Study of Ontology and Semantic Reasoning Applied to Visualization
title_sort	automatic suggestions to improve the quality of scatterplots during its creation: a case study of ontology and semantic reasoning applied to visualization
publishDate	2019
url	http://sedici.unlp.edu.ar/handle/10915/87761
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Automatic Suggestions to Improve the Quality of Scatterplots during its Creation: a Case Study of Ontology and Semantic Reasoning Applied to Visualization

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