Artificial general intelligence (AGI) has gained global recognition as a future technology due
to the emergence of breakthrough large language models and chatbots such as GPT-4 and …

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 …

Consumption of media, and movies in particular, is increasing and is influenced by a
number of factors. One important and overlooked factor that affects the media consumption …

While pre-trained language models (PLMs) are the go-to solution to tackle many natural
language processing problems, they are still very limited in their ability to capture and to use …

Knowledge Graphs (KG) are gaining increasing attention in both academia and industry.
Despite their diverse benefits, recent research have identified social and cultural biases …

Web‐scale knowledge graphs such as the global Linked Data cloud consist of billions of
individual statements about millions of entities. In recent years, this has fueled the interest in …

Abstract Bias in Artificial Intelligence (AI) is a critical and timely issue due to its sociological,
economic and legal impact, as decisions made by biased algorithms could lead to unfair …

This chapter presents some of the fundamental assumptions and principles that could form
the philosophical foundation of GeoAI and spatial data science. Instead of reviewing the well …

Abstract Knowledge base (KB) embeddings have been shown to contain gender biases. In
this paper, we study two questions regarding these biases: how to quantify them, and how to …

The Semantic Web emerged as an extension to the traditional Web, adding meaning
(semantics) to a distributed Web of structured and linked information. At its core, the concept …