Openly available, collaboratively edited Knowledge Graphs (KGs) are key platforms for the
collective management of evolving knowledge. The present work aims to provide an …

Abstract Knowledge graphs have been widely adopted across organizations and research
domains, fueling applications that span interactive browsing to large-scale analysis and data …

Collaborative data collection initiatives are increasingly becoming pivotal to cultural
institutions and scholars, to boost the population of born-digital archives. For over a decade …

Internet-of-Things (IoTs) entity discovery plays an important role in the Industrial IoTs,
especially with the rapidly increasing and updating of IoT sensors in the industrial …

Reification in knowledge graphs has been present since the inception of RDF to allow
capturing additional information in triples, usually metadata. The need of adopting or …

Purpose The purpose of this work is to explore the new possibilities enabled by the recent
introduction of RDF-star, an extension that allows for statements about statements within the …

StarBench: Benchmarking RDF-star Triplestores Page 1 Aalborg Universitet StarBench
Benchmarking RDF-star Triplestores Abuoda, Ghadeer; Aebeloe, Christian; Dell'Aglio, Daniele; …

The increasing complexity of legislative systems, characterized by an ever-growing number
of laws and their interdependencies, has highlighted the utility of Knowledge Graphs (KGs) …

For descriptions of cognitive processes, including process models for research data
provenance and simulation workflow metadata, a formal notation is developed on the basis …

Query relaxation has been proposed to cope with the problem of queries that produce none
or insufficient answers. The goal is to modify these queries to be able to produce alternative …