This paper describes our research and development toward a precise, unambiguous, and
information-dense knowledge graph of cybersecurity countermeasures. In project work for …

In the fast-evolving landscape of biomedical research, the emergence of big data has
presented researchers with extraordinary opportunities to explore biological complexities. In …

This scientific review paper aims at challenging a common point of view on metadata as a
necessary evil and something mandatory to the data creating and dataset publishing …

While the FAIR Principles do not specify a technical solution for 'FAIRness', it was clear from
the outset of the FAIR initiative that it would be useful to have commodity software and …

Abstract The adoption of Knowledge Graphs (KGs) by public and private organizations to
integrate and publish data has increased in recent years. Ontologies play a crucial role in …

Self-organizing systems represent the next level of building automation and make it possible
to reduce the manual engineering effort of automation systems. For self-organizing systems …

While neural networks have been used extensively to make substantial progress in the
machine translation task, they are known for being heavily dependent on the availability of …

In this report, we analyse the use of virtual reality (VR) as a method to navigate and explore
complex knowledge graphs. Over the past few decades, linked data technologies [Resource …

Most visual analytics systems assume that all foraging for data happens before the analytics
process; once analysis begins, the set of data attributes considered is fixed. Such separation …

Open data has been improving both publishing platforms and the consumers‐oriented
process over the years, providing better openness policies and transparency. Although …