The integration of Artificial Intelligence (AI) technologies, particularly Knowledge Graphs (KG), is significantly reshaping eGovernment, which refers to the application of information technology to enhance government services and citizen engagement.
A Knowledge Graph is a directed, labelled, multi-relational graph designed to represent data with specific semantics, facilitating
more effective service delivery and addressing the growing complexity of e-Government applications. Over time, the focus of AI
research in e-Government has evolved from logic-based approaches, largely driven by semantic web technologies, to datacentric methodologies influenced by machine learning. More recently, there has been an increasing trend toward combining
these approaches. This paper reviews the key developments in AI applications within e-Government, highlighting advancements
in data management, intelligent web services, and machine learning. By providing an overview of past research and examining
current trends, the paper offers an insightful perspective on future directions for AI in e-Government, aiming to promote
effective service delivery and improved citizen interaction.