The flexible paradigm of Resource Description Framework (RDF) has accelerated the raw
data published on the web. Therefore, the volume of generated RDF data has increased …

Abstract Knowledge graphs (KGs) have achieved great success in many real applications,
and great efforts have been dedicated to constructing larger knowledge graphs. An obvious …

We consider fact-checking approaches that aim to predict the veracity of assertions in
knowledge graphs. Five main categories of fact-checking approaches for knowledge graphs …

Structured knowledge bases are critical for the interpretability of AI techniques. RDF KBs,
which are the dominant representation of structured knowledge, are expanding extremely …

Abstract Knowledge reasoning helps overcome the incompleteness of knowledge graphs
(KGs) and has significantly contributed to the development of large KGs. Rule mining, one of …

The flexible paradigm of the Resource Description Framework (RDF) has accelerated the
rate at which raw data is published on the web. Therefore, the volume of generated RDF …

With recent advances in artificial intelligence, the question of human control has become
central. Today, this involves both research into explainability and designs centered around …

In the personnel management knowledge graph, the absence of relations will lead to an
incomplete knowledge graph, which affects downstream applications. While existing …