Suppawong Tuarob. Enhancing visualization applications using open data sources. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2020.
Enhancing visualization applications using open data sources
Abstract:
An increasing number of data visualization tools
have started to support the automatic generation of modifications,
embellishments, and natural language annotations
(data facts) to aid in better understanding the data being
visualized. Concurrently, many applications in data science
now benefit from the use of an increasingly diverse set of
open data sources to augment existing data sets to enhance
their value. In this paper we present a framework for using
open data-based augmentations to generate embellishments
and data facts to enhance existing visualizations. Our approach
is based on a semi-automated process intended to involve the
user, where possible augmentations are automatically ranked
based on the data facts they are capable of generating, allowing
users to choose augmentations to effectively enhance existing
data visualizations in an explorative manner. We show the
benefit of suggesting ranked augmentations from one open
data source, Wikidata, by demonstrating that a high number
of data facts and embellishments can be produced utilizing
the top suggested augmentations. Finally, we describe the
architecture of a prototype system implementing the approach.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2020
Modified:
2023-11-13
Issued:
2023-11-13
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BibliograpyCitation :
In King Mongkut's University of Technology North Bangkok Faculty of Applied Science. The 17th International Joint Conference on Computer Science and Software Engineering (JCSSE 2020) (pp.30-35). Bangkok : King Mongkut's University of Technology North Bangkok