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 …

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 …

This paper proposes an approach to tackle the problem of querying large volume of
statistical RDF data. Our approach relies on pre-aggregation strategies to better manage the …

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 …

The production of machine-readable data in the form of RDF datasets belonging to the
Linked Open Data (LOD) Cloud is growing very fast. However, selecting relevant knowledge …

Formulating a query on a Linked Open Data (LOD) source is not an easy task; a technical
knowledge of the query language, and, the awareness of the structure of the dataset are …

To embrace the open data movement, increasingly many datasets have been published on
the Web to be reused. Users, when assessing the usefulness of an unfamiliar dataset, need …

The rapid growth of open data on the Web promotes the development of data portals that
facilitate finding useful datasets. To help users quickly inspect a dataset found in a portal, we …