An explosion in the use of RDF for representing information about resources has driven the
requirements for Web-scale server systems that can store and process huge quantities of …

A large number of cloud middleware platforms and tools are deployed to support a variety of
internet‐of‐things (IoT) data analytics tasks. It is a common practice that such cloud …

Tunnel maintenance requires complex decision making, which involves pathology diagnosis
and risk assessment, to ensure full safety while optimising maintenance and repair costs. A …

In this paper, we introduce three new implementations of non-native methods for storing
RDF data. These methods named RDFSPO, RDFPC and RDFVP, are based respectively on …

In recent years many online graph database service providers have started their operations
in public clouds due to the growing demand for graph data storage and analysis. While this …

Today's technological improvements have made ubiquitous healthcare systems that
converge into smart healthcare applications in order to solve patients' problems, to …

Many Linked Data datasets model elements in their domains in the form of lists: a countable
number of ordered resources. When pub-lishing these lists in RDF, an important concern is …

Online graph database service providers have started migrating their operations to public
clouds due to the increasing demand for low-cost, ubiquitous graph data storage and …

In this paper, we present an approach to perform reasoning for scalable OWL ontologies in a
Hadoop-based distributed computing cluster. Rule-based reasoning is typically used for a …

Semantic repositories–RDF databases with inferencer and query answering engine–are set
to become a cornerstone of the Semantic Web (and Linked Open Data) due to their ability to …