Various graphs such as web or social networks may contain up to trillions of edges.
Compressing such datasets can accelerate graph processing by reducing the amount of I/O …

Virtualization is a promising technology that has facilitated cloud computing to become the
next wave of the Internet revolution. Adopted by data centers, millions of applications that …

The flexible paradigm of Resource Description Framework (RDF) has accelerated the raw
data published on the web. Therefore, the volume of generated RDF data has increased …

Distributed RDF data management systems become increasingly important with the growth
of the Semantic Web. Regardless, current methods meet performance bottlenecks either on …

Many Web applications require efficient querying of large Knowledge Graphs (KGs). We
propose KOGNAC, a dictionary-encoding algorithm designed to improve SPARQL querying …

HDT a is binary RDF serialization aiming at minimizing the space overheads of traditional
RDF formats, while providing retrieval features in compressed space. Several HDT-based …

The Semantic Web comprises enormous volumes of semi-structured data elements. For
interoperability, these elements are represented by long strings. Such representations are …

Distributed, consistent utility-preserving data masking is provided by retrieving an original
value from a data table; initiating a communication with a mapping service to ascer tain …

Data generation and publication on the Web has increased over the last years. This
phenomenon, usually known as “Big Data”, poses new challenges related with Volume …

High-performance analytical data processing systems often run on servers with large
amounts of memory. A common data structure used in such environment is the hash tables …