This survey presents the concept of Big Data. Firstly, a definition and the features of Big Data
are given. Secondly, the different steps for Big Data data processing and the main problems …

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 …

Generating value from data requires the ability to find, access and make sense of datasets.
There are many efforts underway to encourage data sharing and reuse, from scientific …

There has been a recent, tangible growth in RDF published on the Web in accordance with
the Linked Data principles and best practices, the result of which has been dubbed the “Web …

The architectural choices underlying Linked Data have led to a compendium of data sources
which contain both duplicated and fragmented information on a large number of domains …

An important application of semantic technologies in industry has been the formalisation of
information models using OWL 2 ontologies and the use of RDF for storing and exchanging …

This open access book explores the dataspace paradigm as a best-effort approach to data
management within data ecosystems. It establishes the theoretical foundations and …

The growing number of datasets published on the Web as linked data brings both
opportunities for high data availability and challenges inherent to querying data in a …

Large amounts of data are becoming increasingly available online. In order to benefit from it
we need tools to retrieve the most relevant datasets that match ones data needs. Several …

Linked Data allows structured data to be published in a standard manner so that datasets
from diverse domains can be interlinked. By leveraging Semantic Web standards and …