Paper Info
Title
GraphDL: An Ontology for Linked Data Visualization.
Abstract
Linked Data is an increasingly important source of information and contextual knowledge in Data Science, and its appropriate visualization is key to effectively exploit them. This work presents an ontology to generate graph-based visualizations of Linked Data in a flexible and efficient way. The ontology has been used to successfully visualize DrugBank and DBPedia datasets in a large visualization environment.
Year
DOI
Venue
2018
10.1007/978-3-030-00374-6_33
ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2018
Keywords
DocType
Volume
Linked data,Ontologies,Visualization,Big data
Conference
11160
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Juan Gómez-Romero110.70
Miguel Molina-Solana24812.80