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 …

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 …

There are several Knowledge Graphs expressed in RDF (Resource Description Framework)
that aggregate/integrate data from various sources for providing unified access services and …

Recently, the amount of semantic data available in the Web has increased dramatically. The
potential of this vast amount of data is enormous but in most cases it is difficult for users to …

There is a large number of datasets published as Linked (Open) Data (LOD/LD). At the same
time, there is also a multitude of tools for publication of LD. However, potential LD …

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 …

Abstract Knowledge graphs are an increasingly important source of data and context
information in Data Science. A first step in data analysis is data exploration, in which …

A knowledge graph (KG) is a rich resource representing real-world facts. Visualizing a
knowledge graph helps humans gain a deep understanding of the facts, leading to new …

Abstract As the Web of Data is growing steadily, the demand for user-friendly means for
exploring, analyzing and visualizing Linked Data is also increasing. The key challenge for …

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 …