2016/01/29 by Nikos Bikakis, Bikakis, Nikos, Timos Sellis +1 · 1 citation
Computer Science · #68P05 #68P15 #97R50 #Databases (cs.DB) #E.1 #FOS: Computer and information sciences #H.2.8 #H.4 #H.5.2 #Human-Computer Interaction (cs.HC) #acm:68P05 #acm:68P15 #acm:97R50 #cs.DB #cs.HC #msc:68P05 #msc:68P15 #msc:97R50
paper · pdf · doi:10.48550/arxiv.1601.08059
6th International Workshop on Linked Web Data Management (LWDM 2016)
arxiv created 2016/01/29 · arxiv updated 2016/02/01
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.