A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …

In the era of big data, linked data interfaces play a critical role in enabling access to and
management of large-scale, heterogeneous datasets. This survey investigates forty-seven …

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 …

The maintenance and use of metadata such as provenance and time-related information is
of increasing importance in the Semantic Web, especially for Big Data applications that work …

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 …

In this deliberately provocative position paper, we claim that more than ten years into Linked
Data there are still (too?) many unresolved challenges towards arriving at a truly machine …

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 …

Linked Open Data promises to provide guiding principles to publish interlinked knowledge
graphs on the Web in the form of findable, accessible, interoperable, and reusable datasets …

RDF Knowledge Graphs (or Datasets) contain valuable information that can be exploited for
a variety of real-world tasks. However, due to the enormous size of the available RDF …

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