“Exploration and Visualization in the Web of Big Linked Data: A Survey of the State of the Art” (Conference Paper)

The following paper will be presented at the 6th International Workshop on Linked Web Data Management (LWDM 2016) that is scheduled to place in Bordeaux, France on March 16, 2016.
Title
Exploration and Visualization in the Web of Big Linked Data: A Survey of the State of the Art
Authors
Nikos Bikakis
NTU Athens & ATHENA R.C
Timos Sellis
Swinburne University of Technology, Australia
Source
via arXiv
Abstract

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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