As a powerful expression of human knowledge in a structural form, knowledge graph (KG)
has drawn great attention from both the academia and the industry and a large number of …

The reporting and the analysis of current events around the globe has expanded from
professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians …

The recent proliferation of" fake news" has triggered a number of responses, most notably
the emergence of several manual fact-checking initiatives. As a result and over time, a large …

Over the past years, notable progress has been made towards fighting misinformation
spread over social media, encouraging the development of many fact-checking systems …

Currently, there is a rapidly increasing need for high-quality biomedical knowledge graphs
(BioKG) that provide direct and precise biomedical knowledge. In the context of COVID-19 …

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 …

Knowledge verification is an important task in the quality management of knowledge graphs
(KGs). Knowledge is a summary of facts and events based on human cognition and …

Abstract Knowledge graph error detection is to identify erroneous triples in knowledge
graphs that are inconsistent with objective facts in the real world. In practice, the quality of …

In the past decade, news consumption has shifted from printed news media to online
alternatives. Although these come with advantages, online news poses challenges as well …

The performance of applications, such as personal assistants and search engines, relies on
high-quality knowledge bases, aka Knowledge Graphs (KGs). To ensure their quality one …