Proliferation of RDF data has reached to a peak where data is partitioned across multiple
nodes. Significant contribution for developing solutions to manage RDF data in distributed …

Distributed processing of RDF data requires partitioning of big and complex data sets. The
partitioning affects the performance of the distributed query processing and the amount of …

With increase in size of Internet of Things IoT device networks and applications, tremendous
increase is witnessed in IoT data. Efficient storage and querying of this data is of major …

Las bases de datos multimedia almacenan datos de gran tamaño, provocando problemas
en la recuperación eficiente de la información, aumentando los costos de ejecución y …

The efficient distributed processing of big RDF graphs requires typically decreasing the
communication cost over the network. This requires on the storage level both a careful …

Managing huge RDF data is one of the major challenges for building modern day
applications. Relational approach and Graph based approach are two techniques for RDF …