This paper presents AIDEN (Artificial Intelligence for Data Exploration and Navigation), a system based on virtual reality (VR) to provide an immersive and intuitive application for exploring, analyzing, and modifying RDF knowledge graphs in an interactive three-dimensional environment. The system aims to enhance knowledge capitalization and decision-support processes by helping user to navigate through complex RDF knowledge graphs in an intuitive manner. By facilitating the physical navigation of virtual space with its multi-modal interactions such as gestures, movements, and voice commands; AIDEN allows technical data readily accessible to non-experts. This immersive approach takes advantage of humans’ innate ability to interact with three-dimensional environments, thereby enhancing the user experience by reducing cognitive load while exploiting the potential of a third dimension for data visualization purposes. Two distinct knowledge graph representations have been designed to optimize navigation and user experience. The first type, the "overall view," is designed for pattern recognition and group identification. The second, called "immersive view," submerges the user into the graph for a more local perspective, enhancing the readability of individual node relationships. This paper discusses the design and implementation of AIDEN and explores its potential to improve the way to interact with complex data structures.