Exploration and Visualization in the Web of Big Linked Data: A Survey of the State of the Art
It provides a comprehensive overview for researchers and practitioners dealing with data exploration and visualization in big data environments, but is incremental as it synthesizes existing work.
This survey examines the challenges and state-of-the-art approaches for exploring and visualizing large datasets, focusing on scalability and requirements in the context of Big Linked Data.
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.