GraphDL: An Ontology for Linked Data Visualisation
Proc. CAEPIA 2018
(2018)
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.
Links:
| DOI: 10.1007/978-3-030-00374-6_33 PDF: |
Bibtex:
@inproceedings{caepia2018_graphdl,
title = {GraphDL: An Ontology for Linked Data Visualisation},
author = {G\'omez-Romero, Juan and Molina-Solana, Miguel},
booktitle = {Proc. CAEPIA 2018},
year = {2018},
address = {Granada, Spain},
month = oct,
timestamp = {124},
doi = {10.1007/978-3-030-00374-6_33},
url = {http://caepia18.aepia.org}
}