From Linked Data Querying to Visual Search: Towards a Visualization Pipeline for LOD Exploration

Aline Menin, Catherine Faron, Olivier Corby, Carla Freitas, Fabien Gandon, Marco Winckler

2021

Abstract

Over the recent years, Linked Open Data (LOD) has been increasingly used to support decision-making processes in various application domains. For that purpose, an increasing interest in information visualization has been observed in the literature as a suitable solution to communicate the knowledge described in LOD data sources. Nonetheless, transforming raw LOD data into a graphical representation (the so-called visualization pipeline) is not a straightforward process and often requires a set of operations to transform data into meaningful visualizations that suit users’ needs. In this paper, we propose a LOD generic visualization pipeline and discuss the implications of the internal operations (import → transform → map → render → interact) for creating meaningful visualizations of LOD datasets. To demonstrate the feasibility of this generic visualization pipeline, we implement it as the tool LDViz (Linked Data Visualizer). We demonstrate how LDViz supports access to any SPARQL endpoint through multiple use cases, allowing the users to perform searches with SPARQL queries and visualize the results using multiple visualization techniques.

Paper Citation

in Harvard Style

Menin A., Faron C., Corby O., Freitas C., Gandon F. and Winckler M. (2021). From Linked Data Querying to Visual Search: Towards a Visualization Pipeline for LOD Exploration. In Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-536-4, pages 53-64. DOI: 10.5220/0010654600003058

in Bibtex Style

@conference{webist21,
author={Aline Menin and Catherine Faron and Olivier Corby and Carla Freitas and Fabien Gandon and Marco Winckler},
title={From Linked Data Querying to Visual Search: Towards a Visualization Pipeline for LOD Exploration},
booktitle={Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2021},
pages={53-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010654600003058},
isbn={978-989-758-536-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - From Linked Data Querying to Visual Search: Towards a Visualization Pipeline for LOD Exploration
SN - 978-989-758-536-4
AU - Menin A.
AU - Faron C.
AU - Corby O.
AU - Freitas C.
AU - Gandon F.
AU - Winckler M.
PY - 2021
SP - 53
EP - 64
DO - 10.5220/0010654600003058