In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

In this paper, we present the virtual knowledge graph (VKG) paradigm for data integration
and access, also known in the literature as Ontology-based Data Access. Instead of …

The ability of graph neural networks (GNNs) for distinguishing nodes in graphs has been
recently characterized in terms of the Weisfeiler-Lehman (WL) test for checking graph …

We present Ontop, an open-source Ontology-Based Data Access (OBDA) system that allows
for querying relational data sources through a conceptual representation of the domain of …

We present RDFox—a main-memory, scalable, centralised RDF store that supports
materialisation-based parallel datalog reasoning and SPARQL query answering. RDFox …

Ontop is a popular open-source virtual knowledge graph system that can expose
heterogeneous data sources as a unified knowledge graph. Ontop has been widely used in …

Integrating deep learning techniques, particularly language models (LMs), with knowledge
representation techniques like ontologies has raised widespread attention, urging the need …

The epidemic of diabetes in American Indian (AI) communities is a serious public health
challenge. The incidence and prevalence of diabetes have increased dramatically with …

Reasoner is a software that is used to derive new facts from the existing ontologies. Some of
the popular reasoners developed in the last few years are: Pellet, RACER, FACT++ …

Ontologies are rapidly becoming popular in various research fields. There is a tendency
both in converting existing models into ontologies and in creating new models. In this work …