Open Knowledge Maps is an AI-driven visual search engine designed to revolutionize the discovery of scientific knowledge. By generating knowledge maps, it provides users with an instant overview of research topics, highlighting the main areas and related documents at a glance. This approach facilitates the identification of pertinent information, making the exploration of complex subjects more intuitive and efficient. Key Features and Functionality: - Topical Overviews: Presents a visual representation of a research topic, showcasing the primary areas and associated documents, enabling users to grasp the scope of a subject quickly. - AI-Powered Clustering: Utilizes artificial intelligence to group similar documents, aiding in distinguishing relevant content, especially when dealing with ambiguous terms or multidisciplinary fields. - Concept Identification: Labels research areas with pertinent concepts, assisting users in understanding the specialized language of a field, which is particularly beneficial for newcomers. - Open Access Highlighting: Emphasizes open access documents within the knowledge maps, allowing users to access full texts directly from the interface or with a single click. Primary Value and User Solutions: Open Knowledge Maps addresses the challenge of navigating vast amounts of scientific literature by offering a visual and structured method to explore research topics. It enhances the visibility of research findings, supports efficient literature reviews, and promotes interdisciplinary understanding. By simplifying the discovery process, it saves users valuable time and fosters a more accessible and collaborative scientific environment.