Exploration and visualization in the web of big linked data: A survey of the state of the art
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 …
Exploring and visualizing very large datasets has become a major research challenge, of …
[BOOK][B] Linked data visualization: techniques, tools, and big data
Linked Data (LD) is a well-established standard for publishing and managing structured
information on the Web, gathering and bridging together knowledge from different scientific …
information on the Web, gathering and bridging together knowledge from different scientific …
Empirical evaluation of linked data visualization tools
F Desimoni, L Po - Future Generation Computer Systems, 2020 - Elsevier
The economic impact of open data in Europe has an estimated value of€ 140 billions a year
between direct and indirect effects. The social impact is also known to be high, as the use of …
between direct and indirect effects. The social impact is also known to be high, as the use of …
graphVizdb: A scalable platform for interactive large graph visualization
We present a novel platform for the interactive visualization of very large graphs. The
platform enables the user to interact with the visualized graph in a way that is very similar to …
platform enables the user to interact with the visualized graph in a way that is very similar to …
Resource-aware adaptive indexing for in situ visual exploration and analytics
In in situ data management scenarios, large data files, which do not fit in main memory, must
be efficiently handled using commodity hardware, without the overhead of a preprocessing …
be efficiently handled using commodity hardware, without the overhead of a preprocessing …
In-situ visual exploration over big raw data
Data exploration and visual analytics systems are of great importance in Open Science
scenarios, where less tech-savvy researchers wish to access and visually explore big raw …
scenarios, where less tech-savvy researchers wish to access and visually explore big raw …
A hierarchical aggregation framework for efficient multilevel visual exploration and analysis
Data exploration and visualization systems are of great importance in the Big Data era, in
which the volume and heterogeneity of available information make it difficult for humans to …
which the volume and heterogeneity of available information make it difficult for humans to …
[PDF][PDF] Adaptive Indexing for In-situ Visual Exploration and Analytics.
In-situ processing has received a great deal of attention in recent years. In in-situ scenarios,
big raw data files which do not fit in main memory, must be efficiently handled using …
big raw data files which do not fit in main memory, must be efficiently handled using …
Stunning doodle: a tool for joint visualization and analysis of knowledge graphs and graph embeddings
In recent years, the growing application of Knowledge Graphs to new and diverse domains
has created the need to make these resources accessible and understandable by users with …
has created the need to make these resources accessible and understandable by users with …
Enabling graph mining in RDF triplestores using SPARQL for holistic in-situ graph analysis
Graph analysis is now considered as a promising technique to discover useful knowledge
from data. We posit that there are two dimensions of graph analysis: OnLine Graph Analytic …
from data. We posit that there are two dimensions of graph analysis: OnLine Graph Analytic …