Our research is focused on the development of robust machine vision algorithms for pattern
recognition. We want to provide robotic systems the ability to understand more on the …

Traditionally Semantic Web applications either included a web crawler or relied on external
services to gain access to the Web of Data. Recent efforts have enabled applications to …

Recent efforts have enabled applications to query the entire Semantic Web. Such approaches
are either based on a centralised store or link traversal and URI dereferencing as often …

To cope with today's large scale of data, parallel dataflow engines such as Hadoop, and more
recently Spark and Flink, have been proposed. They offer scalability and performance, but …

We are presenting a method of optimizing Gabor filter banks using an evolutionary approach.
Texture segmentation has multiple usages from medical imaging to satellite terrain …

Creating, documenting, publishing and maintaining an RDF Schema vocabulary is a
complex, time-consuming task. This makes vocabulary maintainers reluctant to evolve their …

The increasing growth of the Semantic Web has substantially enlarged the amount of data
available in RDF format. One proposed solution is to map RDF data to relational databases (…

In this paper we present a novel user interface–the Atom Interface–for browsing and exploring
structured semantic web data. The interface organizes the information in a circular fashion…

The current size and expansion of the Web of Data or WoD, as shown by the staggering growth
of the Linked Open Data (LOD) project 1, which reached to over 31 billion triples towards …

The exponential growth of the Web of Linked Data (WoD) has so far primarily been funded
using subsidies, where new datasets are financed through public funding or via research …