Knowledge Graphs (KGs) about real-world entities and their properties are an important asset in many AI applications, but web-scale KGs generally store only positive statements. Due to this incompleteness, absent statements are considered unknown rather than false. This book, Enriching Open-world Knowledge Graphs with Expressive Negative Statements, which won the SWSA Distinguished Dissertation Award for its author Hiba Arnaout in 2024, makes the case for enriching KGs with informative negative statements to enhance their usability in applications such as question answering and entity...