Large Language Models (LLMs) have taken Knowledge Representation--and the world--by
storm. This inflection point marks a shift from explicit knowledge representation to a renewed …

Knowledge Bases (KBs) find applications in many knowledge-intensive tasks and, most
notably, in information retrieval. Wikidata is one of the largest public general-purpose KBs …

Knowledge Graph (KG) Reasoning plays a vital role in various applications by predicting
missing facts from existing knowledge. Inductive KG reasoning approaches based on Graph …

In many processes, ranging from medical treatments to supply chains and employee
management, there is a growing need to gather information with the objective of enhancing …

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

While Knowledge Graphs (KGs) have long been used as valuable sources of structured
knowledge, in recent years, KG embeddings have become a popular way of deriving …

Digital data plays a central role in sciences, journalism, environment, digital humanities, etc.
Open Data sharing initiatives lead to many large, interesting datasets being shared online …

Real-world data are often inconsistent. Although a substantial amount of research has been
done on measuring inconsistency, this research concentrated on knowledge bases …

We demonstrate SHACTOR, a system for extracting and analyzing validating shapes from
very large Knowledge Graphs (KGs). Shapes represent a specific form of data patterns, akin …

In this paper, we delve into the crucial role of constraints in maintaining data integrity in
knowledge graphs with a specific focus on Wikidata, one of the most extensive …