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 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 …

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 …

We present UnifiedViews, an Extract-Transform-Load (ETL) framework that allows users to
define, execute, monitor, debug, schedule, and share data processing tasks, which may …

This article describes how Linked Open Data (LOD), under the umbrella of the Semantic
Web, integrates the openly-published semantic information making it easily understandable …

The publication of data as Linked Open Data (LOD) gains traction. There are lots of different
datasets published, more vocabularies are becoming W3C Recommendations and with the …

ABSTRACT The LOD (Linked Open Data) cloud currently contains thousands of published
datasets. Existing visualizations, like the Linking Open Data cloud diagram, are useful for …

There is a need for being able to effectively demonstrate the benefits of publishing Linked
Data. There are already many datasets and they are no longer limited to research based …

There are lots of Linked Open Data (LOD) datasets published today. However, the
possibilities of their consumption are very limited and certainly not suitable for lay users. A …