loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Enrico Caldarola 1 ; Antonio Picariello 2 and Antonio M. Rinaldi 2

Affiliations: 1 University of Naples Federico II and National Research Council, Italy ; 2 University of Naples Federico II, Italy

Keyword(s): Graph Database, Big Data, NoSQL, Data visualization, WordNet, Neo4J

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Concept Mining ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems ; Visual Data Mining and Data Visualization

Abstract: In the Big Data era, the visualization of large data sets is becoming an increasingly relevant task due to the great impact that data have from a human perspective. Since visualization is the closer phase to the users within the data life cycle's phases, there is no doubt that an effective, efficient and impressive representation of the analyzed data may result as important as the analytic process itself. This paper presents an experience for importing, querying and visualizing graph database and in particular, we describe as a case study the WordNet database using Neo4J and Cytoscape. We will describe each step in this study focusing on the used strategies for overcoming the different problems mainly due to the intricate nature of the case study. Finally, an attempt to define some criteria to simplify the large-scale visualization of WordNet will be made, providing some examples and considerations which have arisen.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.173.43.215

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Caldarola, E.; Picariello, A. and Rinaldi, A. (2015). Big Graph-based Data Visualization Experiences - The WordNet Case Study. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 104-115. DOI: 10.5220/0005632201040115

@conference{kdir15,
author={Enrico Caldarola. and Antonio Picariello. and Antonio M. Rinaldi.},
title={Big Graph-based Data Visualization Experiences - The WordNet Case Study},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR},
year={2015},
pages={104-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005632201040115},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR
TI - Big Graph-based Data Visualization Experiences - The WordNet Case Study
SN - 978-989-758-158-8
IS - 2184-3228
AU - Caldarola, E.
AU - Picariello, A.
AU - Rinaldi, A.
PY - 2015
SP - 104
EP - 115
DO - 10.5220/0005632201040115
PB - SciTePress