RDF has seen increased adoption in recent years, prompting the standardization of the
SPARQL query language for RDF, and the development of local and distributed engines for …

The recent advancements of the Semantic Web and Linked Data have changed the working
of the traditional web. There is a huge adoption of the Resource Description Framework …

Video scene understanding is leading to an increased research investment in develo**
artificial intelligence technologies, pattern recognition, and computer vision, especially with …

Advances in high-throughput genome sequencing have enabled large-scale genome
sequencing in clinical practice and research studies. By analyzing genomic variants of …

The increased number of services and their increased ontological complexity make the
discovery a very time-consuming process as they were built on DL (Description Logic) …

The integration of knowledge graphs and graph machine learning (GML) in genomic data
analysis offers several opportunities for understanding complex genetic relationships …

Over the past few decades, the population in the urban areas has been increasing in a
dramatic manner. Currently, about 80% of the US population and about 50% of the world's …

Harnessing the unlimited potential of RNA-sequencing data requires efficient and scalable
solutions. In this research, we explore the power of knowledge graphs to analyze variant …

We present a tool called RIQ (RDF Indexing on Quads) for efficiently processing SPARQL
queries on large RDF datasets containing quads. RIQ's novel design includes:(a) a vector …

In the process industry, a large number of multi-source heterogeneous data are generated.
Ontology combined with resource description framework (RDF) is a great way to describe …