Λεπτομέρειες

ΕίδοςΔημοσίευση
ΚωδικόςTR-2016-3
ΤίτλοςExploration and Visualization in the Web of Big Linked Data: A Survey of the State of the Art
ΣυγγραφέαςNikos Bikakis, Timos Sellis
Έτος2016
Λέξεις κλειδιάVisual analytics, big data challenges, data exploration, large databases, visual exploration, semantic web, visualization tools, scalability
ΠερίληψηData 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.
ΚατηγορίαWWW and DBMS
Δημοσίευση6th International Workshop on Linked Web Data Management (LWDM '16)
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