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

作者: Nikos Bikakis , Timos K. Sellis

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

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