Abstract The SPARQL Query Language for RDF and the SPARQL Protocol for RDF are
implemented by a growing number of storage systems and are used within enterprise and …

Triple stores are the backbone of increasingly many Data Web applications. It is thus evident
that the performance of those stores is mission critical for individual projects as well as for …

RDF has become very popular for semantic data publishing due to its flexible and universal
graph-like data model. Yet, the ever-increasing size of RDF data collections makes it more …

This paper describes the design and implementation of the 4store RDF storage and
SPARQL query system with respect to its cluster and query processing design. 4store was …

Over the years, a large amount of temporal data needs to be shared and exchanged on the
Web. Resource Description Framework (RDF) has been widely accepted and has rapidly …

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 …

Lack of scalability is one of the most significant problems faced by single machine RDF data
stores. The advent of Cloud Computing has paved a way for a distributed ecosystem of RDF …

Driven by initiatives like Schema. org, the amount of semantically annotated data is
expected to grow steadily towards massive scale, requiring cluster-based solutions to query …

The Resource Description Framework (RDF) is a flexible model for representing information
about resources on the Web. As a W3C (World Wide Web Consortium) Recommendation …

Green clouds optimally use energy resources in large-scale distributed computing
environments. Large scale industries such as smart grids are adopting green cloud …