The Resource Description Framework (RDF) represents a main ingredient and data
representation format for Linked Data and the Semantic Web. It supports a generic graph …

Abstract The Semantic Web's promise of web-wide data integration requires the inclusion of
legacy relational databases, 1 ie the execution of SPARQL queries on RDF representation …

Abstract The Resource Description Framework (RDF) pioneered by the W3C is increasingly
being adopted to model data in a variety of scenarios, in particular data to be published or …

Massive volumes of big RDF data are growing beyond the performance capacity of
conventional RDF data management systems operating on a single node. Applications …

RDF Database Systems is a cutting-edge guide that distills everything you need to know to
effectively use or design an RDF database. This book starts with the basics of linked open …

Processing large volumes of RDF data requires sophisticated tools. In recent years, much
effort was spent on optimizing native RDF stores and on repurposing relational query …

Big Data technology has discarded traditional data modeling approaches as no longer
applicable to distributed data processing. It is, however, largely recognized that Big Data …

To benefit from the Cloud platform's unlimited resources, managing and evaluating huge
volume of RDF data in a scalable manner has attracted intensive research efforts recently …

Publication and archival of scientific results is still commonly considered the responsability
of classical publishing companies. Classical forms of publishing, however, which center …

Smart cities are providing advanced services aggregating and exploiting data from different
sources. Cities collect static data such as road graphs, service description, as well as …