Abstract

<p>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. <br>A Knowledge Graph is a directed, labelled, multi-relational graph designed to represent data with specific semantics, facilitating <br>more effective service delivery and addressing the growing complexity of e-Government applications. Over time, the focus of AI <br>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 <br>these approaches. This paper reviews the key developments in AI applications within e-Government, highlighting advancements <br>in data management, intelligent web services, and machine learning. By providing an overview of past research and examining <br>current trends, the paper offers an insightful perspective on future directions for AI in e-Government, aiming to promote <br>effective service delivery and improved citizen interaction.</p>