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Exploration and visualization in the web of big linked data: A survey of the state of the art

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conference contribution
posted on 2024-07-09, 19:19 authored by Nikos Bikakis, Timos Sellis
Data exploration and visualization systems are of great importance in the Big Data era. Exploring and visualizing very large datasets has become a major research challenge, of which scalability is a vital requirement. In this survey, we describe the major prerequisites and challenges that should be addressed by the modern exploration and visualization systems. Considering these challenges, we present how state-of-the-art approaches from the Database and Information Visualization communities attempt to handle them. Finally, we survey the systems developed by Semantic Web community in the context of the Web of Linked Data, and discuss to which extent these satisfy the contemporary requirements.

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ISSN

1613-0073

Journal title

CEUR Workshop Proceedings

Conference name

Workshops of the EDBT ICDT 2016 Joint Conference, EDBT ICDT 2016; (MDM)

Location

Bordeaux

Start date

2016-03-15

End date

2049-12-31

Volume

1558

Publisher

CEUR-WS

Copyright statement

Copyright © 2016 The authors. Published in the Workshop Proceedings of the EDBT/ICDT 2016 Joint Conference (March 15, 2016, Bordeaux, France) on CEUR-WS.org (ISSN 1613-0073). Distribution of this paper is permitted under the terms of the Creative Commons license CC-by-nc-nd 4.0.

Language

eng

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