This paper introduces a dynamic knowledge-graph approach for digital twins and illustrates
how this approach is by design naturally suited to realizing the vision of a Universal Digital …

Cyber-physical systems (CPSs) in the manufacturing domain can be deployed to support
monitoring and analysis of production systems of a factory in order to improve, support, or …

While big data analytics is considered as one of the most important paths to competitive
advantage of today's enterprises, data scientists spend a comparatively large amount of time …

This article proposes a framework of linked software agents that continuously interact with
an underlying knowledge graph to automatically assess the impacts of potential flooding …

Data trees, typically encoded in JSON, are ubiquitous in data-driven applications. This
ubiquity makes urgent the development of novel techniques for querying heterogeneous …

Graph database systems are increasingly adapted for storing and processing
heterogeneous network-like datasets. However, due to the novelty of such systems, no …

In the last decade, the database field has become substantially diversified, as a
consequence, a number of non-relational databases (known also as NoSQL) have been …

This paper proposes an approach to tackle the problem of querying large volume of
statistical RDF data. Our approach relies on pre-aggregation strategies to better manage the …

Large-scale knowledge graphs (KGs) are widely used in industry and academia, and
provide excellent use-cases for ontologies. We find, however, that popular ontology …

Due to their capability to model information about various domains in a semantically rich
way, knowledge graphs gain importance in the engineering of automated systems. Still, the …